New version of CIEL concept dictionary added to dropbox

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for January 24, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary11

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains new concepts to support applications required to monitor or treat the novel Coronavirus outbreak from China.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

“concept_id”	“name”	“Class”	“Datatype”	“description”
“165613”	“Partner notified about sexually transmitted infection status”	“Question”	“Coded”	\N
“165613”	“STI partner notification status”	“Question”	“Coded”	\N
“165612”	“Suspected 2019 novel coronavirus infection”	“Diagnosis”	“N/A”	\N
“165612”	“Suspected Wuhan coronavirus infection”	“Diagnosis”	“N/A”	\N
“165612”	“Suspected 2019-nCoV infection”	“Diagnosis”	“N/A”	\N
“165611”	“2019-nCoV nucleic acid assay by real time reverse transcriptase PCR”	“Test”	“Coded”	\N
“165611”	“Serum 2019 novel coronavirus nucleic acid assay by real time reverse transcriptase PCR”	“Test”	“Coded”	\N
“165611”	“Serum Wuhan coronavirus nucleic acid assay by real time reverse transcriptase PCR”	“Test”	“Coded”	\N
“165610”	“Exposure to Wuhan coronavirus”	“Finding”	“N/A”	\N
“165610”	“Exposure to 2019-nCoV”	“Finding”	“N/A”	\N
“165610”	“Exposure to 2019 novel coronavirus”	“Finding”	“N/A”	\N
“165609”	“Infection due to Wuhan coronavirus”	“Diagnosis”	“N/A”	\N
“165609”	“Infection due to 2019 novel coronavirus”	“Diagnosis”	“N/A”	\N
“165609”	“Infection due to 2019-nCoV”	“Diagnosis”	“N/A”	\N
“165608”	“Pneumonia due to Wuhan coronavirus”	“Diagnosis”	“N/A”	\N
“165608”	“Pneumonia due to 2019-nCoV”	“Diagnosis”	“N/A”	\N
“165608”	“Pneumonia due to 2019 novel coronavirus”	“Diagnosis”	“N/A”	\N
“165607”	“Lamivudine / tenofovir / zidovudine”	“Drug”	“N/A”	\N
“165606”	“ABC / 3TC / DTG”	“Drug”	“N/A”	\N
“165606”	“Triumeq”	“Drug”	“N/A”	\N
“165606”	“Abacavir / dolutegravir / lamivudine”	“Drug”	“N/A”	\N
“165605”	“DTG / 3TC / TDF”	“Drug”	“N/A”	\N
“165605”	“Dolutegravir / lamivudine / tenofovir”	“Drug”	“N/A”	\N

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for March 10, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary11

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains new concepts to support applications required to monitor or treat the novel Coronavirus outbreak from China and a few for Kenya EMR .

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

|"concept_id"|"name"|"Class"|"Datatype"|"description"|
|---|---|---|---|---|
|"165633"|"Upper respiratory tract infection (URI) due to 2019-nCoV"|"Diagnosis"|"N/A"|\N|
|"165633"|"Upper respiratory tract infection due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"|"Diagnosis"|"N/A"|\N|
|"165633"|"Upper respiratory tract infection (URI) due to COVID-19 virus"|"Diagnosis"|"N/A"|\N|
|"165632"|"High priority for COVID-19 virus vaccination"|"Finding"|"N/A"|\N|
|"165632"|"High priority for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination"|"Finding"|"N/A"|\N|
|"165632"|"High priority for 2019-nCoV vaccine"|"Finding"|"N/A"|\N|
|"165631"|"Close exposure to 2019 novel coronavirus"|"Finding"|"N/A"|\N|
|"165631"|"Close exposure to COVID-19 virus"|"Finding"|"N/A"|\N|
|"165631"|"Close exposure to 2019-nCoV"|"Finding"|"N/A"|\N|
|"165631"|"Close exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"|"Finding"|"N/A"|\N|
|"165630"|"Acute respiratory disease due to COVID-19 virus"|"Diagnosis"|"N/A"|\N|
|"165630"|"Acute respiratory disease due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"|"Diagnosis"|"N/A"|\N|
|"165630"|"2019-nCoV acute respiratory disease"|"Diagnosis"|"N/A"|\N|
|"165629"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine not available"|"Finding"|"N/A"|\N|
|"165629"|"2019-nCoV vaccine not available"|"Finding"|"N/A"|\N|
|"165629"|"COVID-19 virus vaccine not available"|"Finding"|"N/A"|\N|
|"165628"|"COVID-19 virus vaccination not indicated"|"Finding"|"N/A"|\N|
|"165628"|"2019-nCoV vaccination not indicated"|"Finding"|"N/A"|\N|
|"165628"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination not indicated"|"Finding"|"N/A"|\N|
|"165627"|"2019-nCoV vaccination not done"|"Finding"|"N/A"|\N|
|"165627"|"COVID-19 virus vaccination not done"|"Finding"|"N/A"|\N|
|"165627"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine not administered"|"Finding"|"N/A"|\N|
|"165626"|"2019-nCoV vaccination declined"|"Finding"|"N/A"|\N|
|"165626"|"COVID-19 virus vaccination declined"|"Finding"|"N/A"|\N|
|"165626"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination declined"|"Finding"|"N/A"|\N|
|"165625"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination contraindicated"|"Finding"|"N/A"|\N|
|"165625"|"2019-nCoV vaccination contraindicated"|"Finding"|"N/A"|\N|
|"165625"|"COVID-19 virus vaccination contraindicated"|"Finding"|"N/A"|\N|
|"165624"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA panel by probe and target amplification method"|"Test"|"Coded"|\N|
|"165624"|"2019-nCoV RNA panel by probe and target amplification method"|"Test"|"Coded"|\N|
|"165623"|"Disease due to Wuhan coronavirus"|"Diagnosis"|"N/A"|\N|
|"165623"|"Disease due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"|"Diagnosis"|"N/A"|\N|
|"165623"|"Disease due to 2019-nCoV"|"Diagnosis"|"N/A"|\N|
|"165623"|"Disease due to 2019 novel coronavirus"|"Diagnosis"|"N/A"|\N|
|"165623"|"2019 novel coronavirus disease (COVID-19)"|"Diagnosis"|"N/A"|\N|
|"165622"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) not detected"|"Finding"|"N/A"|\N|
|"165622"|"COVID-19 virus not detected"|"Finding"|"N/A"|\N|
|"165622"|"2019 novel coronavirus not detected"|"Finding"|"N/A"|\N|
|"165622"|"2019-nCoV not detected"|"Finding"|"N/A"|\N|
|"165621"|"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detected"|"Finding"|"N/A"|\N|
|"165621"|"2019 novel coronavirus detected"|"Finding"|"N/A"|\N|
|"165621"|"COVID-19 virus detected"|"Finding"|"N/A"|\N|
|"165621"|"2019-nCoV detected"|"Finding"|"N/A"|\N|
|"165620"|"Sexual abuse description"|"Question"|"Text"|"Narrative description/details of the sexual abuse."|
|"165619"|"Cervical cancer screening performed"|"Finding"|"N/A"|\N|
|"165619"|"Cancer of uterine cervix screening performed"|"Finding"|"N/A"|\N|
|"165618"|"Cancer of uterine cervix screening not performed"|"Finding"|"N/A"|\N|
|"165618"|"Cervical cancer screening not performed"|"Finding"|"N/A"|\N|
|"165617"|"Screened for cancer of uterine cervix"|"Question"|"Coded"|\N|
|"165617"|"Screened for cervical cancer"|"Question"|"Coded"|\N|
|"165616"|"COVID-19 vaccination"|"Procedure"|"N/A"|\N|
|"165616"|"2019 novel coronavirus vaccination"|"Procedure"|"N/A"|\N|
|"165616"|"2019-nCoV vaccination"|"Procedure"|"N/A"|\N|
|"165616"|"Vaccination against Wuhan coronavirus"|"Procedure"|"N/A"|\N|
|"165616"|"Administration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine"|"Procedure"|"N/A"|\N|
|"165615"|"Multilobar lung infiltrate"|"Diagnosis"|"Coded"|\N|
|"165614"|"MuLBTSA score"|"Finding"|"Numeric"|"Clinical prediction score for viral pneumonia mortality. Ranges from 0 to 22. Includes multilobular infiltration (Mu 5 pts), hypo-Lymphocytosis (L 4 pts), bacterial co-infection (B 4 pts), smoking history (S acute smoker 3 pts, quit smoking 2 pts), hypertension (T 2 pts) and age >60  (A 2 pts)."|

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for March 18, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary11

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains many new concepts to support applications required to monitor or treat the novel Coronavirus outbreak (COVID-19) .

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

“concept_id”	“name”	“Class”	“Datatype”	“description”
“165857”	“Positive for both IgG and IgM (Presence of anti-COVID-19 IgG and IgM)”	“Misc”	“N/A”	\N
“165856”	“Positive for IgG only (Presence of anti-COVID-19 IgG)”	“Misc”	“N/A”	\N
“165855”	“Positive for IgM only (Presence of anti-COVID-19 IgM)”	“Misc”	“N/A”	\N
“165854”	“Negative (no anti-COVID-19 antibody detected)”	“Misc”	“N/A”	\N
“165853”	“COVID-19 IgM/IgG rapid test”	“Test”	“Coded”	\N
“165853”	“Rapid detection in serum or plasma of either or both IgG and IgM antibodies to COVID-19 by immunoassay”	“Test”	“Coded”	\N
“165853”	“Rapid detection in serum or plasma of either or both IgG and IgM antibodies to 2019-nCoV by immunoassay”	“Test”	“Coded”	\N
“165853”	“Rapid detection in serum or plasma of either or both IgG and IgM antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by immunoassay”	“Test”	“Coded”	\N
“165852”	“Respiratory specimen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen rapid diagnostic test”	“Test”	“Coded”	\N
“165852”	“Respiratory specimen 2019-CoV antigen rapid diagnostic test”	“Test”	“Coded”	\N
“165852”	“Xpert® Xpress SARS-CoV-2”	“Test”	“Coded”	\N
“165852”	“Respiratory specimen COVID-19 antigen rapid diagnostic test”	“Test”	“Coded”	\N
“165851”	“Province”	“Question”	“Text”	“Generic field to capture the geographic location province”
“165850”	“Close contact with person with acute respiratory infection 14 days prior to developing symptoms”	“Question”	“Coded”	“Has the patient had close contact with a person with acute respiratory infection in the 14 days prior to symptom onset”
“165850”	“Close contact with person with acute respiratory infection two weeks prior to developing symptoms”	“Question”	“Coded”	“Has the patient had close contact with a person with acute respiratory infection in the 14 days prior to symptom onset”
“165849”	“Assay used by confirming laboratory”	“Question”	“Text”	\N
“165848”	“Sequencing performed by confirming laboratory”	“Question”	“Coded”	\N
“165847”	“Reporting country”	“Question”	“Coded”	“Country in which the case was reported”
“165846”	“Reporting institution”	“Question”	“Text”	“Name of the institution reporting a case”
“165845”	“Name of testing laboratory”	“Question”	“Text”	\N
“165844”	“Exposure to live animal market in previous two weeks”	“Finding”	“Coded”	\N
“165844”	“Recent exposure to live animal market”	“Finding”	“Coded”	\N
“165844”	“Exposure to live animal market in previous 14 days”	“Finding”	“Coded”	\N
“165843”	“Acute respiratory distress syndrome (ARDS)”	“Diagnosis”	“N/A”	\N
“165842”	“Respiratory specimen COVID-19 virus RdRp gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165842”	“Respiratory specimen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RdRp gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165842”	“Respiratory specimen 2019-nCoV RdRp gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165841”	“Respiratory specimen COVID-19 virus N gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165841”	“Respiratory specimen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) N gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165841”	“Respiratory specimen 2019-nCoV N gene detection by probe and target amplification method”	“Test”	“Coded”	\N
“165840”	“Respiratory specimen 2019-nCoV RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165840”	“Respiratory specimen COVID-19 virus RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165840”	“Respiratory specimen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165839”	“Serum or plasma COVID-19 virus IgM antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165839”	“Serum or plasma 2019-nCoV IgM antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165839”	“Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgM antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165838”	“Detection in serum or plasma of either or both IgG and IgM antibodies to COVID-19 by immunoassay”	“Test”	“Coded”	\N
“165838”	“Detection in serum or plasma of either or both IgG and IgM antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by immunoassay”	“Test”	“Coded”	\N
“165838”	“Detection in serum or plasma of either or both IgG and IgM antibodies to 2019-nCoV by immunoassay”	“Test”	“Coded”	\N
“165837”	“Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgM antibody detection by immunoassay”	“Test”	“Coded”	\N
“165837”	“Serum or plasma 2019-nCoV IgM antibody detection by immunoassay”	“Test”	“Coded”	\N
“165837”	“Serum or plasma COVID-19 virus IgM antibody detection by immunoassay”	“Test”	“Coded”	\N
“165836”	“Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165836”	“Serum or plasma 2019-nCoV IgG antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165836”	“Serum or plasma COVID-19 virus IgG antibody measurement by immunoassay (units/volume)”	“Test”	“Numeric”	\N
“165835”	“COVID-19 virus IgG antibody assay in serum/plasma”	“Test”	“Coded”	“Qualitative test for Sars-CoV-2 IgG antibody”
“165835”	“Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibody detection by immunoassay”	“Test”	“Coded”	“Qualitative test for Sars-CoV-2 IgG antibody”
“165835”	“2019 novel coronavirus IgG antibody assay in serum/plasma”	“Test”	“Coded”	“Qualitative test for Sars-CoV-2 IgG antibody”
“165834”	“Works with animals”	“Finding”	“Coded”	\N
“165833”	“Visited health facility in past two weeks”	“Question”	“Coded”	\N
“165833”	“Visited health facility in 14 days”	“Question”	“Coded”	\N
“165832”	“Venezuela”	“Misc”	“N/A”	“Country in South America”
“165832”	“VEN”	“Misc”	“N/A”	“Country in South America”
“165831”	“Uruguay”	“Misc”	“N/A”	“Country in South America”
“165831”	“URY”	“Misc”	“N/A”	“Country in South America”
“165830”	“Suriname”	“Misc”	“N/A”	“Country in South America”
“165830”	“SUR”	“Misc”	“N/A”	“Country in South America”
“165829”	“Peru”	“Misc”	“N/A”	“Country in South America”
“165829”	“PER”	“Misc”	“N/A”	“Country in South America”
“165828”	“PRY”	“Misc”	“N/A”	“Country in South America”
“165828”	“Paraguay”	“Misc”	“N/A”	“Country in South America”
“165827”	“Guyana”	“Misc”	“N/A”	“Country in South America”
“165827”	“GUY”	“Misc”	“N/A”	“Country in South America”
“165826”	“Ecuador”	“Misc”	“N/A”	“Country in South America”
“165826”	“ECU”	“Misc”	“N/A”	“Country in South America”
“165825”	“COL”	“Misc”	“N/A”	“Country in South America”
“165825”	“Colombia”	“Misc”	“N/A”	“Country in South America”
“165824”	“CHL”	“Misc”	“N/A”	“Country in South America”
“165824”	“Chile”	“Misc”	“N/A”	“Country in South America”
“165823”	“BRA”	“Misc”	“N/A”	“Country in South America”
“165823”	“Brazil”	“Misc”	“N/A”	“Country in South America”
“165822”	“Bolivia”	“Misc”	“N/A”	“Country in South America”
“165822”	“BOL”	“Misc”	“N/A”	“Country in South America”
“165821”	“ARG”	“Misc”	“N/A”	“Country in South America”
“165821”	“Argentina”	“Misc”	“N/A”	“Country in South America”
“165820”	“United States of America”	“Misc”	“N/A”	“Country in North America”
“165820”	“USA”	“Misc”	“N/A”	“Country in North America”
“165819”	“MEX”	“Misc”	“N/A”	“Country in North America”
“165819”	“Mexico”	“Misc”	“N/A”	“Country in North America”
“165818”	“Canada”	“Misc”	“N/A”	“Country in North America”
“165818”	“CAN”	“Misc”	“N/A”	“Country in North America”
“165817”	“PAN”	“Misc”	“N/A”	“Country in Central America”
“165817”	“Panama”	“Misc”	“N/A”	“Country in Central America”
“165816”	“Nicaragua”	“Misc”	“N/A”	“Country in Central America”
“165816”	“NIC”	“Misc”	“N/A”	“Country in Central America”
“165815”	“HND”	“Misc”	“N/A”	“Country in Central America”
“165815”	“Honduras”	“Misc”	“N/A”	“Country in Central America”
“165814”	“Guatemala”	“Misc”	“N/A”	“Country in Central America”
“165814”	“GTM”	“Misc”	“N/A”	“Country in Central America”
“165813”	“El Salvador”	“Misc”	“N/A”	“Country in Central America”
“165813”	“SLV”	“Misc”	“N/A”	“Country in Central America”
“165812”	“CRI”	“Misc”	“N/A”	“Country in Central America”
“165812”	“Costa Rica”	“Misc”	“N/A”	“Country in Central America”
“165811”	“BLZ”	“Misc”	“N/A”	“Country in Central America”
“165811”	“Belize”	“Misc”	“N/A”	“Country in Central America”
“165810”	“TTO”	“Misc”	“N/A”	“Country in the Caribbean”
“165810”	“Trinidad and Tobago”	“Misc”	“N/A”	“Country in the Caribbean”
“165809”	“St. Vincent and the Grenadines”	“Misc”	“N/A”	“Country in the Caribbean”
“165809”	“VCT”	“Misc”	“N/A”	“Country in the Caribbean”
“165809”	“Saint Vincent and the Grenadines”	“Misc”	“N/A”	“Country in the Caribbean”
“165808”	“Saint Lucia”	“Misc”	“N/A”	“Country in the Caribbean”
“165808”	“St. Lucia”	“Misc”	“N/A”	“Country in the Caribbean”
“165808”	“LCA”	“Misc”	“N/A”	“Country in the Caribbean”
“165807”	"Saint Kitts and Nevis "	“Misc”	“N/A”	“Country in the Caribbean”
“165807”	“KNA”	“Misc”	“N/A”	“Country in the Caribbean”
“165807”	“St. Kitts and Nevis”	“Misc”	“N/A”	“Country in the Caribbean”
“165806”	“PRI”	“Misc”	“N/A”	“Country in the Caribbean”
“165806”	“Puerto Rico”	“Misc”	“N/A”	“Country in the Caribbean”
“165805”	“Jamaica”	“Misc”	“N/A”	“Country in the Caribbean”
“165805”	“JAM”	“Misc”	“N/A”	“Country in the Caribbean”
“165804”	“Haiti”	“Misc”	“N/A”	“Country in the Caribbean”
“165804”	“HTI”	“Misc”	“N/A”	“Country in the Caribbean”
“165803”	“Grenada”	“Misc”	“N/A”	“Country in the Caribbean”
“165803”	“GRD”	“Misc”	“N/A”	“Country in the Caribbean”
“165802”	“CUB”	“Misc”	“N/A”	“Country in the Caribbean”
“165802”	“Cuba”	“Misc”	“N/A”	“Country in the Caribbean”
“165801”	“Commonwealth of Dominica”	“Misc”	“N/A”	“Country in the Caribbean”
“165801”	“DMA”	“Misc”	“N/A”	“Country in the Caribbean”
“165801”	“Dominica”	“Misc”	“N/A”	“Country in the Caribbean”
“165800”	“BRB”	“Misc”	“N/A”	“Country in the Caribbean”
“165800”	“Barbados”	“Misc”	“N/A”	“Country in the Caribbean”
“165799”	“Bahamas”	“Misc”	“N/A”	“Country in the Caribbean”
“165799”	“BHS”	“Misc”	“N/A”	“Country in the Caribbean”
“165798”	“Antigua and Barbuda”	“Misc”	“N/A”	“Country in Caribbean”
“165798”	“ATG”	“Misc”	“N/A”	“Country in Caribbean”
“165797”	“Animal health occupation”	“Misc”	“N/A”	\N
“165796”	“Medical laboratory technician”	“Misc”	“N/A”	“Occupation”
“165795”	“History of proper isolation procedure”	“Procedure”	“N/A”	\N
“165794”	“Location of diagnosis”	“Finding”	“N/A”	\N
“165793”	“Case classification”	“Finding”	“Coded”	\N
“165793”	“Case status”	“Finding”	“Coded”	\N
“165792”	“Confirmed present”	“Misc”	“N/A”	“Status is proven”
“165792”	“Confirmed”	“Misc”	“N/A”	“Status is proven”
“165791”	“TGO”	“Misc”	“N/A”	“Country in West Africa”
“165791”	“Togo”	“Misc”	“N/A”	“Country in West Africa”
“165790”	“GMB”	“Misc”	“N/A”	\N
“165790”	“Gambia”	“Misc”	“N/A”	\N
“165790”	“The Gambia”	“Misc”	“N/A”	\N
“165789”	“Sierra Leone”	“Misc”	“N/A”	“Country in West Africa”
“165789”	“SLE”	“Misc”	“N/A”	“Country in West Africa”
“165788”	“Senegal”	“Misc”	“N/A”	“Country in West Africa”
“165788”	“SEN”	“Misc”	“N/A”	“Country in West Africa”
“165787”	“STP”	“Misc”	“N/A”	“Country in West Africa”
“165787”	“Sao Tome and Principe”	“Misc”	“N/A”	“Country in West Africa”
“165786”	“Mauritania”	“Misc”	“N/A”	“Country in West Africa”
“165786”	“MRT”	“Misc”	“N/A”	“Country in West Africa”
“165785”	“Republic of Mali”	“Misc”	“N/A”	“Country in West Africa”
“165785”	“Mali”	“Misc”	“N/A”	“Country in West Africa”
“165785”	“MLI”	“Misc”	“N/A”	“Country in West Africa”
“165784”	“LBR”	“Misc”	“N/A”	“Country in West Africa”
“165784”	“Liberia”	“Misc”	“N/A”	“Country in West Africa”
“165783”	“CIV”	“Misc”	“N/A”	“Country in West Africa”
“165783”	“Ivory Coast”	“Misc”	“N/A”	“Country in West Africa”
“165783”	“Côte d’Ivoire”	“Misc”	“N/A”	“Country in West Africa”
“165782”	“GNB”	“Misc”	“N/A”	“Country in West Africa”
“165782”	“Guinea-Bissau”	“Misc”	“N/A”	“Country in West Africa”
“165781”	“GIN”	“Misc”	“N/A”	“Country in West Africa”
“165781”	“Guinea Republic”	“Misc”	“N/A”	“Country in West Africa”
“165780”	“GHA”	“Misc”	“N/A”	“Country in West Africa”
“165780”	“Ghana”	“Misc”	“N/A”	“Country in West Africa”
“165779”	“GNQ”	“Misc”	“N/A”	“Country in West Africa”
“165779”	“Equatorial Guinea”	“Misc”	“N/A”	“Country in West Africa”
“165778”	“CPV”	“Misc”	“N/A”	“Country in West Africa”
“165778”	“Cape Verde”	“Misc”	“N/A”	“Country in West Africa”
“165777”	“Burkina Faso”	“Misc”	“N/A”	“Country in West Africa”
“165777”	“BKA”	“Misc”	“N/A”	“Country in West Africa”
“165776”	“BEN”	“Misc”	“N/A”	“Country in West Africa”
“165776”	“Benin”	“Misc”	“N/A”	“Country in West Africa”
“165775”	“Namibia”	“Misc”	“N/A”	“Country in South West Africa”
“165775”	“Republic of Namibia”	“Misc”	“N/A”	“Country in South West Africa”
“165775”	“NAM”	“Misc”	“N/A”	“Country in South West Africa”
“165774”	“AGO”	“Misc”	“N/A”	“Country in South West Africa”
“165774”	“Angola”	“Misc”	“N/A”	“Country in South West Africa”
“165773”	“MOZ”	“Misc”	“N/A”	“Country in South East Africa”
“165773”	“Mozambique”	“Misc”	“N/A”	“Country in South East Africa”
“165772”	“Mauritius”	“Misc”	“N/A”	“Country in South East Africa”
“165772”	“MUS”	“Misc”	“N/A”	“Country in South East Africa”
“165771”	“Malawi”	“Misc”	“N/A”	“Country in South East Africa”
“165771”	“MWI”	“Misc”	“N/A”	“Country in South East Africa”
“165770”	“ZAF”	“Misc”	“N/A”	“Country in South Africa”
“165770”	“South Africa”	“Misc”	“N/A”	“Country in South Africa”
“165770”	“Republic of South Africa (RSA)”	“Misc”	“N/A”	“Country in South Africa”
“165769”	“Zimbabwe”	“Misc”	“N/A”	“Country in South Africa”
“165769”	“ZWE”	“Misc”	“N/A”	“Country in South Africa”
“165768”	“Swaziland”	“Misc”	“N/A”	“Country in South Africa”
“165768”	“Eswatini”	“Misc”	“N/A”	“Country in South Africa”
“165768”	“SWZ”	“Misc”	“N/A”	“Country in South Africa”
“165767”	“LSO”	“Misc”	“N/A”	“Country in South Africa”
“165767”	“Lesotho”	“Misc”	“N/A”	“Country in South Africa”
“165766”	“Botswana”	“Misc”	“N/A”	“Country in South Africa”
“165766”	“BWA”	“Misc”	“N/A”	“Country in South Africa”
“165765”	“SSD”	“Misc”	“N/A”	“Country in North East Africa”
“165765”	“South Sudan”	“Misc”	“N/A”	“Country in North East Africa”
“165764”	“SDN”	“Misc”	“Text”	“Country in North East Africa”
“165764”	“Sudan”	“Misc”	“Text”	“Country in North East Africa”
“165763”	“State of Eritrea”	“Misc”	“N/A”	\N
“165763”	“Eritrea”	“Misc”	“N/A”	\N
“165763”	“ERI”	“Misc”	“N/A”	\N
“165762”	“DJI”	“Misc”	“N/A”	“Country in North East Africa”
“165762”	“Djibouti”	“Misc”	“N/A”	“Country in North East Africa”
“165761”	“Tunisia”	“Misc”	“N/A”	“Country in North Africa”
“165761”	“TUN”	“Misc”	“N/A”	“Country in North Africa”
“165760”	“Morocco”	“Misc”	“N/A”	“Country in North Africa”
“165760”	“MAR”	“Misc”	“N/A”	“Country in North Africa”
“165759”	“Libya”	“Misc”	“N/A”	“Country in North Africa”
“165759”	“LBY”	“Misc”	“N/A”	“Country in North Africa”
“165758”	“EGY”	“Misc”	“N/A”	“Country in North Africa”
“165758”	“Egypt”	“Misc”	“N/A”	“Country in North Africa”
“165757”	“DZA”	“Misc”	“N/A”	“Country in North Africa”
“165757”	“Algeria”	“Misc”	“N/A”	“Country in North Africa”
“165756”	“SYC”	“Misc”	“N/A”	“Country in Africa”
“165756”	“Seychelles”	“Misc”	“N/A”	“Country in Africa”
“165755”	“Comoros islands”	“Misc”	“N/A”	“Country in Africa”
“165755”	“COM”	“Misc”	“N/A”	“Country in Africa”
“165754”	“Zambia”	“Misc”	“N/A”	“Country in Africa”
“165754”	“ZMB”	“Misc”	“N/A”	“Country in Africa”
“165753”	“SOM”	“Misc”	“N/A”	“Country in Africa”
“165753”	“Somalia”	“Misc”	“N/A”	“Country in Africa”
“165752”	“Rwanda”	“Misc”	“N/A”	“Country in Africa”
“165752”	“RWA”	“Misc”	“N/A”	“Country in Africa”
“165751”	“Niger”	“Misc”	“N/A”	“Country in Africa”
“165751”	“NER”	“Misc”	“N/A”	“Country in Africa”
“165750”	“GAB”	“Misc”	“N/A”	“Country in Africa”
“165750”	“Gabon”	“Misc”	“N/A”	“Country in Africa”
“165749”	“Republic of Congo”	“Misc”	“N/A”	“Country in Africa”
“165749”	“COG”	“Misc”	“N/A”	“Country in Africa”
“165748”	“Zaire”	“Misc”	“N/A”	“Country in Africa”
“165748”	“COD”	“Misc”	“N/A”	“Country in Africa”
“165748”	“Democratic Republic of Congo (DRC)”	“Misc”	“N/A”	“Country in Africa”
“165747”	“Chad”	“Misc”	“N/A”	“Country in Africa”
“165747”	“TCD”	“Misc”	“N/A”	“Country in Africa”
“165746”	“CAF”	“Misc”	“N/A”	“Country in Africa”
“165746”	“Central African Republic”	“Misc”	“N/A”	“Country in Africa”
“165745”	“Cameroon”	“Misc”	“N/A”	“Country in Africa”
“165745”	“CMR”	“Misc”	“N/A”	“Country in Africa”
“165744”	“BDI”	“Misc”	“N/A”	“Country in Africa”
“165744”	“Burundi”	“Misc”	“N/A”	“Country in Africa”
“165743”	“New Zealand”	“Misc”	“N/A”	“Country in Pacific”
“165743”	“NZL”	“Misc”	“N/A”	“Country in Pacific”
“165742”	“AUS”	“Misc”	“N/A”	“Country in Pacific”
“165742”	“Australia”	“Misc”	“N/A”	“Country in Pacific”
“165741”	“VNM”	“Misc”	“N/A”	“Country in Asia”
“165741”	“Vietnam”	“Misc”	“N/A”	“Country in Asia”
“165741”	“Viet Nam”	“Misc”	“N/A”	“Country in Asia”
“165740”	“Thailand”	“Misc”	“N/A”	“Country in Asia”
“165740”	“THA”	“Misc”	“N/A”	“Country in Asia”
“165739”	“Singapore”	“Misc”	“N/A”	“Country in Asia”
“165739”	“SGP”	“Misc”	“N/A”	“Country in Asia”
“165738”	“PHL”	“Misc”	“N/A”	“Country in Asia”
“165738”	“Philippines”	“Misc”	“N/A”	“Country in Asia”
“165737”	“Malaysia”	“Misc”	“N/A”	“Country in Asia”
“165737”	“MYS”	“Misc”	“N/A”	“Country in Asia”
“165736”	“Lao People’s Democratic Republic (PDR)”	“Misc”	“N/A”	“Country in Asia”
“165736”	“Laos”	“Misc”	“N/A”	“Country in Asia”
“165736”	“LAO”	“Misc”	“N/A”	“Country in Asia”
“165735”	“IDN”	“Misc”	“N/A”	“Country in Asia”
“165735”	“Indonesia”	“Misc”	“N/A”	“Country in Asia”
“165734”	“Democratic Republic of Timor-Leste”	“Misc”	“N/A”	“Country in Asia”
“165734”	“TLS”	“Misc”	“N/A”	“Country in Asia”
“165734”	“Timor-Leste”	“Misc”	“N/A”	“Country in Asia”
“165733”	“Cambodia”	“Misc”	“N/A”	“Country in Asia”
“165733”	“KHM”	“Misc”	“N/A”	“Country in Asia”
“165732”	“Burma”	“Misc”	“N/A”	“Country in Asia”
“165732”	“Myanmar”	“Misc”	“N/A”	“Country in Asia”
“165732”	“MMR”	“Misc”	“N/A”	“Country in Asia”
“165731”	“Brunei Darussalam”	“Misc”	“N/A”	“Country in Asia”
“165731”	“Brunei”	“Misc”	“N/A”	“Country in Asia”
“165731”	“BRN”	“Misc”	“N/A”	“Country in Asia”
“165730”	“UZB”	“Misc”	“N/A”	\N
“165730”	“Uzbekistan”	“Misc”	“N/A”	\N
“165729”	“Turkmenistan”	“Misc”	“N/A”	\N
“165729”	“TKM”	“Misc”	“N/A”	\N
“165728”	“Tajikistan”	“Misc”	“N/A”	“Country in Asia”
“165728”	“TJK”	“Misc”	“N/A”	“Country in Asia”
“165727”	“Mongolia”	“Misc”	“N/A”	“Country in Asia”
“165727”	“MNG”	“Misc”	“N/A”	“Country in Asia”
“165726”	“KGZ”	“Misc”	“N/A”	“Country in Asia”
“165726”	“Kyrgyzstan”	“Misc”	“N/A”	“Country in Asia”
“165725”	“KAZ”	“Misc”	“N/A”	“Country in Asia”
“165725”	“Kazakhstan”	“Misc”	“N/A”	“Country in Asia”
“165724”	“ARE”	“Misc”	“N/A”	“Country in the Middle East”
“165724”	“United Arab Emirates (UAE)”	“Misc”	“N/A”	“Country in the Middle East”

[akanter (Andrew Kanter)]

New concepts Continued:

“concept_id”	“name”	“Class”	“Datatype”	“description”
>	“165723”	“Syrian Arab Republic”	“Misc”	“N/A”
>	“165723”	“SYR”	“Misc”	“N/A”
>	“165723”	“Syria”	“Misc”	“N/A”
>	“165722”	“Saudi Arabia”	“Misc”	“N/A”
>	“165722”	“SAU”	“Misc”	“N/A”
>	“165721”	“QAT”	“Misc”	“N/A”
>	“165721”	“Qatar”	“Misc”	“N/A”
>	“165720”	“YEM”	“Misc”	“N/A”
>	“165720”	“Republic of Yemen”	“Misc”	“N/A”
>	“165720”	“Yemen”	“Misc”	“N/A”
>	“165719”	“Oman”	“Misc”	“N/A”
>	“165719”	“OMN”	“Misc”	“N/A”
>	“165718”	“Lebanon”	“Misc”	“N/A”
>	“165718”	“LBN”	“Misc”	“N/A”
>	“165717”	“KWT”	“Misc”	“N/A”
>	“165717”	“Kuwait”	“Misc”	“N/A”
>	“165716”	“Jordan”	“Misc”	“N/A”
>	“165716”	“JOR”	“Misc”	“N/A”
>	“165715”	“ISR”	“Misc”	“N/A”
>	“165715”	“Israel”	“Misc”	“N/A”
>	“165714”	“IRQ”	“Misc”	“N/A”
>	“165714”	“Iraq”	“Misc”	“N/A”
>	“165713”	“BHR”	“Misc”	“N/A”
>	“165713”	“Bahrain”	“Misc”	“N/A”
>	“165712”	“LKA”	“Misc”	“N/A”
>	“165712”	“Sri Lanka”	“Misc”	“N/A”
>	“165711”	“Pakistan”	“Misc”	“N/A”
>	“165711”	“PAK”	“Misc”	“N/A”
>	“165710”	“Nepal”	“Misc”	“N/A”
>	“165710”	“NPL”	“Misc”	“N/A”
>	“165709”	“Maldives”	“Misc”	“N/A”
>	“165709”	“MDV”	“Misc”	“N/A”
>	“165708”	“India”	“Misc”	“N/A”
>	“165707”	“Bhutan”	“Misc”	“N/A”
>	“165707”	“BTN”	“Misc”	“N/A”
>	“165706”	“Bangladesh”	“Misc”	“N/A”
>	“165706”	“BGD”	“Misc”	“N/A”
>	“165705”	“Afghanistan”	“Misc”	“N/A”
>	“165705”	“AFG”	“Misc”	“N/A”
>	“165704”	“Hong Kong”	“Misc”	“N/A”
>	“165703”	“PRK”	“Misc”	“N/A”
>	“165703”	“Democratic People’s Republic of Korea”	“Misc”	“N/A”
>	“165702”	“Taiwan”	“Misc”	“N/A”
>	“165702”	“TWN”	“Misc”	“N/A”
>	“165701”	“SMR”	“Misc”	“N/A”
>	“165701”	“San Marino”	“Misc”	“N/A”
>	“165700”	“Sweden”	“Misc”	“N/A”
>	“165700”	“SWE”	“Misc”	“N/A”
>	“165699”	“ESP”	“Misc”	“N/A”
>	“165699”	“Spain”	“Misc”	“N/A”
>	“165698”	“Ireland”	“Misc”	“N/A”
>	“165698”	“IRL”	“Misc”	“N/A”
>	“165698”	“Republic of Ireland”	“Misc”	“N/A”
>	“165697”	“Portugal”	“Misc”	“N/A”
>	“165697”	“PRT”	“Misc”	“N/A”
>	“165696”	“NOR”	“Misc”	“N/A”
>	“165696”	“Norway”	“Misc”	“N/A”
>	“165695”	“Holland”	“Misc”	“N/A”
>	“165695”	“NLD”	“Misc”	“N/A”
>	“165695”	“Netherlands”	“Misc”	“N/A”
>	“165694”	“MCO”	“Misc”	“N/A”
>	“165694”	“Monaco”	“Misc”	“N/A”
>	“165693”	“Luxembourg”	“Misc”	“N/A”
>	“165693”	“LUX”	“Misc”	“N/A”
>	“165692”	“MLT”	“Misc”	“N/A”
>	“165692”	“Malta”	“Misc”	“N/A”
>	“165691”	“Andorra”	“Misc”	“N/A”
>	“165691”	“AND”	“Misc”	“N/A”
>	“165690”	“Liechtenstein”	“Misc”	“N/A”
>	“165690”	“LIE”	“Misc”	“N/A”
>	“165689”	“Ukraine”	“Misc”	“N/A”
>	“165689”	“UKR”	“Misc”	“N/A”
>	“165688”	“Turkey”	“Misc”	“N/A”
>	“165688”	“TUR”	“Misc”	“N/A”
>	“165687”	“Russia”	“Misc”	“N/A”
>	“165687”	“RUS”	“Misc”	“N/A”
>	“165687”	“Russian federation”	“Misc”	“N/A”
>	“165686”	“ROU”	“Misc”	“N/A”
>	“165686”	“Romania”	“Misc”	“N/A”
>	“165685”	“LTU”	“Misc”	“N/A”
>	“165685”	“Lithuania”	“Misc”	“N/A”
>	“165684”	“LVA”	“Misc”	“N/A”
>	“165684”	“Latvia”	“Misc”	“N/A”
>	“165683”	“GRC”	“Misc”	“N/A”
>	“165683”	“Greece”	“Misc”	“N/A”
>	“165682”	“GEO”	“Misc”	“N/A”
>	“165682”	“Georgia”	“Misc”	“N/A”
>	“165681”	“Estonia”	“Misc”	“N/A”
>	“165681”	“EST”	“Misc”	“N/A”
>	“165680”	“CYP”	“Misc”	“N/A”
>	“165680”	“Cyprus”	“Misc”	“N/A”
>	“165679”	“BGR”	“Misc”	“N/A”
>	“165679”	“Bulgaria”	“Misc”	“N/A”
>	“165678”	“BIH”	“Misc”	“N/A”
>	“165678”	“Bosnia and Herzegovnia”	“Misc”	“N/A”
>	“165677”	“Belarus”	“Misc”	“N/A”
>	“165677”	“Belorussia”	“Misc”	“N/A”
>	“165677”	“BLR”	“Misc”	“N/A”
>	“165676”	“AZE”	“Misc”	“N/A”
>	“165676”	“Azerbaijan”	“Misc”	“N/A”
>	“165675”	“Armenia”	“Misc”	“N/A”
>	“165675”	“ARM”	“Misc”	“N/A”
>	“165674”	“Albania”	“Misc”	“N/A”
>	“165674”	“ALB”	“Misc”	“N/A”
>	“165673”	“CHE”	“Misc”	“N/A”
>	“165673”	“Switzerland”	“Misc”	“N/A”
>	“165672”	“Slovenia”	“Misc”	“N/A”
>	“165672”	“SVN”	“Misc”	“N/A”
>	“165671”	“SVK”	“Misc”	“N/A”
>	“165671”	“Slovakia”	“Misc”	“N/A”
>	“165670”	“POL”	“Misc”	“N/A”
>	“165670”	“Poland”	“Misc”	“N/A”
>	“165669”	“HUN”	“Misc”	“N/A”
>	“165669”	“Hungary”	“Misc”	“N/A”
>	“165668”	“CZE”	“Misc”	“N/A”
>	“165668”	“Czech republic”	“Misc”	“N/A”
>	“165667”	“HRV”	“Misc”	“N/A”
>	“165667”	“Croatia”	“Misc”	“N/A”
>	“165666”	“AUT”	“Misc”	“N/A”
>	“165666”	“Austria”	“Misc”	“N/A”
>	“165665”	“Iceland”	“Misc Order”	“N/A”
>	“165665”	“ISL”	“Misc Order”	“N/A”
>	“165664”	“Republic of Macedonia”	“Misc”	“N/A”
>	“165664”	“MKD”	“Misc”	“N/A”
>	“165663”	“Finland”	“Misc”	“N/A”
>	“165663”	“FIN”	“Misc”	“N/A”
>	“165662”	“ENG”	“Misc”	“N/A”
>	“165662”	“England”	“Misc”	“N/A”
>	“165661”	“DNK”	“Misc”	“N/A”
>	“165661”	“Denmark”	“Misc”	“N/A”
>	“165660”	“BEL”	“Misc”	“N/A”
>	“165660”	“Belgium”	“Misc”	“N/A”
>	“165659”	“Germany”	“Misc”	“N/A”
>	“165659”	“DEU”	“Misc”	“N/A”
>	“165658”	“FRA”	“Misc”	“N/A”
>	“165658”	“France”	“Misc”	“N/A”
>	“165657”	“Country”	“ConvSet”	“N/A”
>	“165656”	“History of recent travel in past two weeks”	“Finding”	“Coded”
>	“165656”	“History of recent travel in past 14 days”	“Finding”	“Coded”
>	“165655”	“Country of employment”	“Question”	“Text”
>	“165654”	“Location of employment (city/town)”	“Question”	“Text”
>	“165654”	“City where employed”	“Question”	“Text”
>	“165653”	“Infection surveillance procedure”	“Procedure”	“N/A”
>	“165652”	“Repatriation”	“Finding”	“Coded”
>	“165651”	“Detected at point of entry”	“Finding”	“Coded”
>	“165651”	“POE detection”	“Finding”	“Coded”
>	“165650”	“Self-referred”	“Finding”	“Coded”
>	“165650”	“Referred by self”	“Finding”	“Coded”
>	“165649”	“Inconclusive”	“Misc”	“N/A”
>	“165648”	“Date of isolation”	“Question”	“Datetime”
>	“165647”	“History of mechanical ventilation”	“Finding”	“Coded”
>	“165647”	“History of artificial respiration”	“Finding”	“Coded”
>	“165646”	“Chronic neurological or neuromuscular disease”	“Finding”	“Coded”
>	“165645”	“Town visited”	“Question”	“Text”
>	“165645”	“City visited (text)”	“Question”	“Text”
>	“165644”	“History of admission to intensive care unit (ICU)”	“Finding”	“Coded”
>	“165643”	“History of extracorporeal membrane oxygenation (ECMO)”	“Finding”	“Coded”
>	“165642”	“Eritrea”	“Misc”	“N/A”
>	“165642”	“State of Eritrea”	“Misc”	“N/A”
>	“165642”	“ERI”	“Misc”	“N/A”
>	“165641”	“ETH”	“Misc”	“N/A”
>	“165641”	“Ethiopia”	“Misc”	“N/A”
>	“165640”	“Madagascar”	“Misc”	“N/A”
>	“165640”	“MDG”	“Misc”	“N/A”
>	“165639”	“Tanzania”	“Misc”	“N/A”
>	“165639”	“TZA”	“Misc”	“N/A”
>	“165639”	“United Republic of Tanzania”	“Misc”	“N/A”
>	“165638”	“Republic of Korea”	“Misc”	“N/A”
>	“165638”	“South Korea”	“Misc”	“N/A”
>	“165638”	“KOR”	“Misc”	“N/A”
>	“165637”	“JPN”	“Misc”	“N/A”
>	“165637”	“Japan”	“Misc”	“N/A”
>	“165636”	“Iran”	“Misc”	“N/A”
>	“165636”	“Islamic Republic of Iran”	“Misc”	“N/A”
>	“165636”	“IRN”	“Misc”	“N/A”
>	“165636”	“Persia”	“Misc”	“N/A”
>	“165635”	“Italy”	“Misc”	“N/A”
>	“165635”	“ITA”	“Misc”	“N/A”
>	“165634”	“CHN”	“Misc”	“N/A”
>	“165634”	“China”	“Misc”	“N/A”

[paynejd (Jonathan Payne)]

FYI we are working to update the CIEL dictionary in the Open Concept Lab now. We will also publish this list of COVID-19 concepts as its own collection. I will provide the links here as soon as it is ready.

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for April 1, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains additional new concepts and coding updates to support applications required to monitor or treat the novel Coronavirus outbreak (COVID-19). Please be sure to update existing concepts as well since the code maps have changed.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

"concept_id"	"name"	"Class"	"Datatype"	"description"
"165900"	"OMEPRAZOLE SODIUM"	"Drug"	"N/A"	\N
"165899"	"Serum or plasma COVID-19 virus IgM antibody detection by rapid immunoassay"	"Test"	"Coded"	\N
"165899"	"Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgM antibody detection by rapid immunoassay"	"Test"	"Coded"	\N
"165898"	"Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibody detection by rapid immunoassay"	"Test"	"Coded"	\N
"165898"	"Serum or plasma COVID-19 virus IgG antibody detection by rapid immunoassay"	"Test"	"Coded"	\N
"165897"	"Maternal 2019-CoV infection during pregnancy"	"Diagnosis"	"N/A"	\N
"165897"	"Maternal COVID-19 infection during pregnancy"	"Diagnosis"	"N/A"	\N
"165897"	"Maternal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy"	"Diagnosis"	"N/A"	\N
"165896"	"Serum or plasma 2019-nCoV IgA antibody detection by immunoassay"	"Test"	"Coded"	\N
"165896"	"Serum or plasma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgA antibody detection by immunoassay"	"Test"	"Coded"	\N
"165896"	"Serum or plasma COVID-19 virus IgA antibody detection by immunoassay"	"Test"	"Coded"	\N
"165895"	"Roche cobas® SARS-CoV-2 test"	"Test"	"Coded"	"Dual target assay, specific target unique to SARS-Cov-2 (COVID-19 Coronavirus) along with a conserved region of the E-gene"
"165894"	"Disease due to 2019-nCoV, without lab confirmation"	"Diagnosis"	"N/A"	"A clinical or epidemiological diagnosis of COVID-19 where laboratory confirmation is inconclusive or not available."
"165894"	"Disease due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), without lab confirmation"	"Diagnosis"	"N/A"	"A clinical or epidemiological diagnosis of COVID-19 where laboratory confirmation is inconclusive or not available."
"165894"	"2019 novel coronavirus disease (COVID-19), without lab confirmation"	"Diagnosis"	"N/A"	"A clinical or epidemiological diagnosis of COVID-19 where laboratory confirmation is inconclusive or not available."
"165893"	"Provide supplemental oxygen via nasal cannula"	"Procedure"	"N/A"	\N
"165892"	"Pharyngeal exudate"	"Finding"	"Coded"	\N
"165892"	"Throat exudate"	"Finding"	"Coded"	\N
"165891"	"Normal capillary refill time"	"Finding"	"N/A"	\N
"165891"	"Normal capillary filling"	"Finding"	"N/A"	\N
"165890"	"Capillary filling function"	"Finding"	"Coded"	\N
"165889"	"Capillary blood specimen"	"Misc"	"N/A"	\N
"165889"	"Capillary blood"	"Misc"	"N/A"	\N
"165888"	"Venous blood specimen"	"Misc"	"N/A"	\N
"165888"	"Venous blood"	"Misc"	"N/A"	\N
"165887"	"Bronchitis due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165887"	"Bronchitis caused by 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165887"	"Bronchitis due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165887"	"Bronchitis due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165886"	"Otitis media (OM) due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165886"	"Otitis media due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165886"	"Otitis media (OM) due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165886"	"Otitis media (OM) caused by to 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165886"	"Otitis media (OM) due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165885"	"Gastroenteritis due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165885"	"Gastroenteritis due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165885"	"Gastroenteritis caused by to 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165885"	"Gastroenteritis due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165885"	"Gastroenteritis due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165884"	"Encephalopathy due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165884"	"Encephalopathy due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165884"	"Encephalopathy due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165884"	"Encephalopathy caused by 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165884"	"Encephalopathy due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165883"	"Mycocarditis due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165883"	"Myocarditis due by COVID-19 coronavirus"	"Diagnosis"	"N/A"	\N
"165883"	"Myocarditis caused by 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165883"	"Myocarditis due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165882"	"History of positive test for SARS-CoV-2"	"Finding"	"Coded"	\N
"165882"	"History of positive test for severe acute respiratory syndrome corona virus 2"	"Finding"	"Coded"	\N
"165881"	"Pegylated interferon beta-1a"	"Drug"	"N/A"	\N
"165881"	"Peginterferon beta-1a"	"Drug"	"N/A"	\N
"165881"	"Plegridy"	"Drug"	"N/A"	\N
"165880"	"Pegylated interferon alfa-2a"	"Drug"	"N/A"	\N
"165880"	"Pegasys"	"Drug"	"N/A"	\N
"165880"	"Peginterferon alfa-2a"	"Drug"	"N/A"	\N
"165879"	"PegIntron"	"Drug"	"N/A"	\N
"165879"	"Peginterferon alfa-2b"	"Drug"	"N/A"	\N
"165879"	"Pegylated interferon alfa-2b"	"Drug"	"N/A"	\N
"165878"	"Remdesivir"	"Drug"	"N/A"	\N
"165877"	"Avigan"	"Drug"	"N/A"	\N
"165877"	"Favilavir"	"Drug"	"N/A"	\N
"165876"	"Siltuximab"	"Drug"	"N/A"	\N
"165876"	"Sylvant"	"Drug"	"N/A"	\N
"165875"	"Boceprevir"	"Drug"	"N/A"	\N
"165875"	"Victrelis"	"Drug"	"N/A"	\N
"165874"	"Olumiant"	"Drug"	"N/A"	\N
"165874"	"Baricitinib"	"Drug"	"N/A"	\N
"165873"	"Sarilumab"	"Drug"	"N/A"	\N
"165873"	"Kevzara"	"Drug"	"N/A"	\N
"165872"	"Tocilizumab"	"Drug"	"N/A"	\N
"165872"	"RoActemra"	"Drug"	"N/A"	\N
"165872"	"Atlizumab"	"Drug"	"N/A"	\N
"165872"	"Actemra"	"Drug"	"N/A"	\N
"165871"	"Patient condition unresolved"	"Finding"	"N/A"	\N
"165870"	"Patient condition resolved"	"Finding"	"N/A"	\N
"165869"	"Acute bronchitis due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165869"	"Acute bronchitis due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165869"	"Acute bronchitis caused by severe acute respiratory syndrome coronavirus 2"	"Diagnosis"	"N/A"	\N
"165869"	"Acute bronchitis due to 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165869"	"Acute bronchitis due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165868"	"Lower respiratory tract infection due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165868"	"Lower respiratory tract infection due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165868"	"LRTI due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165868"	"Lower respiratory tract infection due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165868"	"Lower respiratory tract infection due to 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165867"	"Acute respiratory distress syndrome (ARDS) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165867"	"Acute respiratory distress syndrome (ARDS) due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165867"	"ARDS due to SARS-CoV-2"	"Diagnosis"	"N/A"	\N
"165867"	"Acute respiratory distress syndrome (ARDS) due to COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165867"	"Acute respiratory distress syndrome (ARDS) due to 2019 novel coronavirus"	"Diagnosis"	"N/A"	\N
"165866"	"History of 2019 novel coronavirus disease (COVID-19)"	"Diagnosis"	"Coded"	\N
"165866"	"History of ARDS due to SARS-CoV-2"	"Diagnosis"	"Coded"	\N
"165866"	"History of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease"	"Diagnosis"	"Coded"	\N
"165865"	"Xpert® Xpress SARS-CoV-2 antigen test"	"Test"	"Coded"	\N
"165865"	"SARS-CoV-2 Xpert, antigen"	"Test"	"Coded"	\N
"165865"	"GeneXpert SARS-CoV-2 ag"	"Test"	"Coded"	\N
"165864"	"History of supplemental oxygen therapy"	"Finding"	"Coded"	\N
"165863"	"NEWS"	"Finding"	"Numeric"	"In the UK, the Royal College of Physicians has introduced a national early warning score (NEWS) to replace local or regional scores. The NEWS score is the largest national EWS effort to date and has been adopted outside the UK.

A second version of the score was introduced in 2017. The revised version was optimised for the identification of sepsis, alternative oxygen targets in people with underlying lung disease, and the onset of delirium.

REF: https://en.wikipedia.org/wiki/Early_warning_score"
"165863"	"National early warning score"	"Finding"	"Numeric"	"In the UK, the Royal College of Physicians has introduced a national early warning score (NEWS) to replace local or regional scores. The NEWS score is the largest national EWS effort to date and has been adopted outside the UK.

A second version of the score was introduced in 2017. The revised version was optimised for the identification of sepsis, alternative oxygen targets in people with underlying lung disease, and the onset of delirium.

REF: https://en.wikipedia.org/wiki/Early_warning_score"
"165862"	"Sepsis-related organ failure assessment score"	"Finding"	"Numeric"	"The sequential organ failure assessment score (SOFA score), previously known as the sepsis-related organ failure assessment score, is used to track a person's status during the stay in an intensive care unit (ICU) to determine the extent of a person's organ function or rate of failure. The score is based on six different scores, one each for the respiratory, cardiovascular, hepatic, coagulation, renal and neurological systems. REF: https://en.wikipedia.org/wiki/SOFA_score"
"165862"	"Sequential organ failure assessment score"	"Finding"	"Numeric"	"The sequential organ failure assessment score (SOFA score), previously known as the sepsis-related organ failure assessment score, is used to track a person's status during the stay in an intensive care unit (ICU) to determine the extent of a person's organ function or rate of failure. The score is based on six different scores, one each for the respiratory, cardiovascular, hepatic, coagulation, renal and neurological systems. REF: https://en.wikipedia.org/wiki/SOFA_score"
"165862"	"SOFA score"	"Finding"	"Numeric"	"The sequential organ failure assessment score (SOFA score), previously known as the sepsis-related organ failure assessment score, is used to track a person's status during the stay in an intensive care unit (ICU) to determine the extent of a person's organ function or rate of failure. The score is based on six different scores, one each for the respiratory, cardiovascular, hepatic, coagulation, renal and neurological systems. REF: https://en.wikipedia.org/wiki/SOFA_score"
"165861"	"Hologic Panther Fusion® SARS-CoV-2 test"	"Test"	"Coded"	\N
"165860"	"CDC SARS-CoV-2 RT-PCR Panel"	"Test"	"N/A"	"Used for ordering CDC COVID-19 panel"
"165860"	"Centers for Disease Control and Prevention (CDC) 2019-Novel Coronavirus (2019-nCoV) Real-Time Reverse Transcriptase (RT)-PCR Diagnostic Panel"	"Test"	"N/A"	"Used for ordering CDC COVID-19 panel"
"165859"	"Abbott RealTime SARS-CoV-2 test"	"Test"	"Coded"	"The Abbott RealTime SARS-CoV-2 assay is a real-time (rt) reverse transcriptase (RT) polymerase chain reaction (PCR) test intended for the qualitative detection of nucleic acid from the SARS-CoV-2 in nasopharyngeal (NP) and oropharyngeal (OP) swabs from patients suspected of COVID-19 by their health care provider."
"165858"	"Sweating"	"Finding"	"N/A"	\N
"165858"	"the sweats"	"Finding"	"N/A"	\N

[sanjayap (Sanjaya Poudel)]

Thank you @akanter, link you have mentioned https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary11 seems to be broken.

[akanter (Andrew Kanter)]

Somehow you got 11 appended to the end of the link. If you remove it, the link works.

[sanjayap (Sanjaya Poudel)]

My Bad.

[mozzy (Moses Mutesasira)]

@akanter

165900

Great work @akanter

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for May 3, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains additional new concepts and coding updates to support applications required to monitor or treat the novel Coronavirus outbreak (COVID-19). Please be sure to update existing concepts as well since the code maps have changed It includes updated maps to ICPC2 and concepts to support MSF.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

"concept_id"	"name"	"Class"	"Datatype"	"description"
"165972"	"Adenosquamous carcinoma"	"Diagnosis"	"N/A"	\N
"165971"	"Skin graft rejection"	"Diagnosis"	"N/A"	\N
"165971"	"Rejected skin graft"	"Diagnosis"	"N/A"	\N
"165970"	"Infected skin graft"	"Diagnosis"	"N/A"	\N
"165970"	"Skin graft infection"	"Diagnosis"	"N/A"	\N
"165969"	"Skin graft failure"	"Diagnosis"	"N/A"	\N
"165968"	"Severe microstomia"	"Diagnosis"	"N/A"	\N
"165967"	"Malunion of fracture, mandible"	"Diagnosis"	"N/A"	\N
"165967"	"Malunion of fracture, jaw"	"Diagnosis"	"N/A"	\N
"165966"	"SARS coronavirus 2 IgG Ab [Presence] in DBS by Immunoassay"	"Test"	"Coded"	\N
"165966"	"Severe acute respiratory syndrome coronavirus 2 IgG antibody in dried blood specimen by immunoassay"	"Test"	"Coded"	\N
"165966"	"SARS-CoV-2 IgG antibody in dried blood specimen by immunoassay"	"Test"	"Coded"	\N
"165965"	"Conjunctivitis due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165965"	"Conjunctivitis due to disease caused by COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165964"	"Cardiomyopathy due to disease caused by COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165964"	"Cardiomyopathy due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) "	"Diagnosis"	"N/A"	\N
"165963"	"Detection of Severe acute respiratory syndrome coronavirus 2 antigen"	"Question"	"Coded"	\N
"165963"	"History of positive antigen test for SARS-CoV-2"	"Question"	"Coded"	\N
"165963"	"History of positive antigen test for severe acute respiratory syndrome corona virus 2"	"Question"	"Coded"	\N
"165962"	"History of positive antibody test for SARS-CoV-2"	"Question"	"Coded"	\N
"165962"	"History of positive antibody test for severe acute respiratory syndrome corona virus 2"	"Question"	"Coded"	\N
"165962"	"Detection of Severe acute respiratory syndrome coronavirus 2 antibody"	"Question"	"Coded"	\N
"165961"	"Contact dermatitis"	"Diagnosis"	"N/A"	\N
"165961"	"Contact eczema"	"Diagnosis"	"N/A"	\N
"165960"	"Failure of bone graft"	"Diagnosis"	"N/A"	\N
"165959"	"Acute transmural myocardial infarction of anterior wall"	"Diagnosis"	"N/A"	\N
"165959"	"Acute ST elevation myocardial infarction of anterior wall"	"Diagnosis"	"N/A"	\N
"165958"	"Rhabdomyolysis due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165958"	"Rhabdomyolysis due to disease caused by COVID-19"	"Diagnosis"	"N/A"	\N
"165957"	"Acute hypoxaemic respiratory failure due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165957"	"Acute hypoxemic respiratory failure due to disease caused by COVID-19"	"Diagnosis"	"N/A"	\N
"165957"	"Acute hypoxemic respiratory failure due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165956"	"Sepsis due to disease caused by COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165956"	"Sepsis due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165955"	"Acute kidney injury due to disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165955"	"Acute renal injury (AKI) due to disease caused by COVID-19"	"Diagnosis"	"N/A"	\N
"165954"	"IL-6 measurement"	"Test"	"Numeric"	\N
"165954"	"Interleukin 6 measurement, serum/plasma (mass/volume)"	"Test"	"Numeric"	\N
"165953"	"PCT measurement"	"Test"	"Numeric"	\N
"165953"	"Procalcitonin measurement, serum/plasma"	"Test"	"Numeric"	\N
"165952"	"Maroldi x-ray score"	"Test"	"Numeric"	"CXR scoring system for COVID-19 pneumonia includes two steps of imaging analysis.

The first step is to divide the lungs into six zones on frontal chest projection (posteroanterior or anteroposterior projection according to the patient position):

Upper zones (A and D): above the inferior wall of the aortic arch
Middle zones (B and E): below the inferior wall of the aortic arch and above the inferior wall of the right inferior pulmonary vein (i.e. the hilar structures)
Lower zones (C and F): below the inferior wall of the right inferior pulmonary vein (i.e. the lung bases)
For technical reasons (for example bedside CXR in critical patients), it may be difficult to identify some anatomical landmarks. In these cases, we recommend dividing each lung into three equal zones.

The second step is to assign a score (from 0 to 3) to each zone based on the lung abnormalities detected on frontal chest projection as follows:

Score 0: no lung abnormalities
Score 1: interstitial infiltrates
Score 2: interstitial and alveolar infiltrates (interstitial predominance)
Score 3: interstitial and alveolar infiltrates (alveolar predominance)

The scores of the six lung zones are then added to obtain an overall “CXR SCORE” ranging from 0 to 18."
"165951"	"Administration of parenteral feeding"	"Procedure"	"N/A"	\N
"165951"	"Intravenous feeding"	"Procedure"	"N/A"	\N
"165950"	"Administration of enteral nutrition"	"Procedure"	"N/A"	\N
"165950"	"Enteral nutrition"	"Procedure"	"N/A"	\N
"165949"	"Carbapenems"	"Pharmacologic Drug Class"	"N/A"	\N
"165948"	"Corticosteroids and derivatives"	"Pharmacologic Drug Class"	"N/A"	\N
"165947"	"Provide supplemental oxygen via Venturi mask"	"Procedure"	"N/A"	\N
"165947"	"Oxygen administration via Venturi mask"	"Procedure"	"N/A"	\N
"165946"	"History of invasive mechanical ventilation"	"Finding"	"Coded"	\N
"165945"	"History of noninvasive mechanical ventilation"	"Finding"	"Coded"	\N
"165944"	"Continuous positive airway pressure ventilation"	"Procedure"	"N/A"	\N
"165944"	"CPAP"	"Procedure"	"N/A"	\N
"165943"	"Patient triggered inspiratory assistance"	"Procedure"	"N/A"	\N
"165943"	"Pressure support ventilation"	"Procedure"	"N/A"	\N
"165943"	"Intermittent positive pressure breathing"	"Procedure"	"N/A"	\N
"165942"	"SIMV"	"Procedure"	"N/A"	\N
"165942"	"Synchronized intermittent mandatory ventilation"	"Procedure"	"N/A"	\N
"165941"	"APRV"	"Procedure"	"N/A"	\N
"165941"	"Airway pressure release ventilation"	"Procedure"	"N/A"	\N
"165940"	"Pressure-controlled volume guaranteed ventilation"	"Procedure"	"N/A"	\N
"165940"	"PCV-VG"	"Procedure"	"N/A"	\N
"165940"	"Pressure controlled volume guaranteed ventilation"	"Procedure"	"N/A"	\N
"165939"	"Volume controlled ventilation"	"Procedure"	"N/A"	\N
"165939"	"VCV"	"Procedure"	"N/A"	\N
"165939"	"Volume-controlled ventilation"	"Procedure"	"N/A"	\N
"165938"	"Pressure controlled ventilation"	"Procedure"	"N/A"	\N
"165938"	"Pressure-controlled ventilation"	"Procedure"	"N/A"	\N
"165938"	"PCV"	"Procedure"	"N/A"	\N
"165937"	"Mechanically-assisted spontaneous ventilation"	"Procedure"	"N/A"	\N
"165936"	"Non-invasive ventilation"	"Procedure"	"N/A"	\N
"165936"	"Noninvasive mechanical ventilation"	"Procedure"	"N/A"	\N
"165936"	"NIMV"	"Procedure"	"N/A"	\N
"165935"	"Insertion of endotracheal tube"	"Procedure"	"N/A"	\N
"165935"	"Endotracheal intubation"	"Procedure"	"N/A"	\N
"165935"	"IOT"	"Procedure"	"N/A"	\N
"165934"	"Middle East respiratory syndrome coronavirus"	"Misc"	"N/A"	\N
"165934"	"MERS-CoV"	"Misc"	"N/A"	\N
"165933"	"Severe acute respiratory syndrome coronavirus 2"	"Misc"	"N/A"	\N
"165933"	"SARS-CoV-2"	"Misc"	"N/A"	\N
"165932"	"Ventilatory mode"	"Question"	"Coded"	\N
"165931"	"Continuous veno-venous haemofiltration"	"Finding"	"Coded"	\N
"165931"	"Hx of CVVH"	"Finding"	"Coded"	\N
"165931"	"History of continuous venovenous hemofiltration"	"Finding"	"Coded"	\N
"165930"	"NMBA"	"Pharmacologic Drug Class"	"N/A"	\N
"165930"	"Neuromuscular blocking agent"	"Pharmacologic Drug Class"	"N/A"	\N
"165929"	"Length of procedure"	"Finding"	"Numeric"	\N
"165929"	"Duration of procedure"	"Finding"	"Numeric"	\N
"165928"	"Pronation"	"Procedure"	"N/A"	\N
"165928"	"Place patient in prone position"	"Procedure"	"N/A"	\N
"165927"	"FIO2"	"Finding"	"Numeric"	\N
"165927"	"Inspired oxygen concentration (percent)"	"Finding"	"Numeric"	\N
"165927"	"Inspired fraction oxygen"	"Finding"	"Numeric"	\N
"165926"	"History of treatment with vasopressor medication"	"Finding"	"Coded"	\N
"165925"	"Encephalitis"	"Diagnosis"	"N/A"	\N
"165924"	"Lives with roommate"	"Finding"	"Coded"	\N
"165924"	"Lives with others"	"Finding"	"Coded"	\N
"165923"	"COVID-19 convalescent plasma"	"Drug"	"N/A"	\N
"165922"	"United Kingdom (UK)"	"Misc"	"N/A"	"Country in Europe"
"165922"	"GB"	"Misc"	"N/A"	"Country in Europe"
"165921"	"Exposure to super-spreader event"	"Finding"	"Coded"	\N
"165921"	"Exposure to high-transmission situation or event"	"Finding"	"Coded"	\N
"165920"	"Exposure to case within closed environment for extended period"	"Finding"	"N/A"	\N
"165920"	"Exposure to case within close quarters for extended period"	"Finding"	"N/A"	\N
"165919"	"Close face-to-face contact with case for >= 15 minutes"	"Finding"	"Coded"	\N
"165918"	"Resides in the same household as a case"	"Finding"	"Coded"	\N
"165918"	"Household contact of case"	"Finding"	"Coded"	\N
"165917"	"Health care setting exposure to aerosol-generating procedure on a case"	"Finding"	"Coded"	\N
"165916"	"Exposure to fluids/laboratory specimen from a case"	"Finding"	"Coded"	\N
"165915"	"Country of residence, coded"	"Finding"	"Coded"	\N
"165914"	"Acute diarrhea due to COVID-19"	"Diagnosis"	"N/A"	\N
"165914"	"Acute diarrhea due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165914"	"Acute diarrhea due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165913"	"Venous thromboembolism associated with to COVID-19"	"Diagnosis"	"N/A"	\N
"165913"	"Venous thromboembolism associated with to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165913"	"Gastroenteritis due to 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165913"	"Venous thromboembolism associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165912"	"Asymptomatic COVID-19"	"Diagnosis"	"N/A"	\N
"165912"	"Asymptomatic confirmed infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165912"	"Asymptomatic confirmed infection with 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165911"	"Condition verification status"	"Finding"	"Coded"	\N
"165910"	"Diagnosis refuted"	"Misc"	"N/A"	\N
"165909"	"Differential diagnosis"	"Misc"	"N/A"	\N
"165908"	"Condition clinical status"	"Finding"	"Coded"	\N
"165907"	"Vaccine lot expiration date"	"Finding"	"Date"	\N
"165906"	"Thrombocytopenia associated with 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165906"	"Thrombocytopenia associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165906"	"Thrombocytopenia associated with COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165905"	"Lymphocytopenia associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"	"Diagnosis"	"N/A"	\N
"165905"	"Lymphocytopenia associated with 2019-nCoV"	"Diagnosis"	"N/A"	\N
"165905"	"Lymphocytopenia associated with COVID-19 virus"	"Diagnosis"	"N/A"	\N
"165904"	"History of physical distancing"	"Finding"	"Coded"	\N
"165904"	"History of social distancing"	"Finding"	"Coded"	\N
"165903"	"Social distancing"	"Procedure"	"N/A"	\N
"165903"	"Physical distancing"	"Procedure"	"N/A"	\N
"165902"	"History of self-quarantine"	"Finding"	"Coded"	\N
"165902"	"History of self-isolation"	"Finding"	"Coded"	\N
"165901"	"Self-isolation"	"Procedure"	"N/A"	\N
"165901"	"Self-quarantine"	"Procedure"	"N/A"	\N

[mozzy (Moses Mutesasira)]

great work @akanter

[mozzy (Moses Mutesasira)]

Finished Updating the MdsBuilder with the latest version cc @ball

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for May 17, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1 and 2.2!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains additional new concepts and coding updates to support applications required to monitor or treat the novel Coronavirus outbreak (COVID-19). Please be sure to update existing concepts as well since the code maps have changed. It includes additional concepts for PIH and MSF.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

“concept_id”	“name”	“Class”	“Datatype”	“description”
“166001”	“Thrombophlebitis at site of peripherally inserted central catheter (PICC)”	“Diagnosis”	“N/A”	“”
“166000”	“Pain severity (coded)”	“Question”	“Coded”	\N
“166000”	“Pain level (coded)”	“Question”	“Coded”	\N
“165999”	“Acquired club foot”	“Diagnosis”	“N/A”	\N
“165999”	“Acquired clubfoot”	“Diagnosis”	“N/A”	\N
“165998”	“Mechanical ventilation”	“Procedure”	“N/A”	\N
“165998”	“Artificial respiration”	“Procedure”	“N/A”	\N
“165997”	“Arterial blood lactic acid measurement”	“Test”	“Numeric”	\N
“165997”	“Arterial blood lactate measurement”	“Test”	“Numeric”	\N
“165997”	“Arterial lactate”	“Test”	“Numeric”	\N
“165996”	“Symptom name, uncoded (text)”	“Symptom”	“Text”	\N
“165995”	“Supportive care”	“Question”	“Coded”	\N
“165994”	“Isolation due to infection”	“Procedure”	“N/A”	\N
“165993”	“Date/time of discharge from intensive care unit (ICU)”	“Question”	“Datetime”	\N
“165993”	“Date/time d/c from ICU”	“Question”	“Datetime”	\N
“165992”	“Date/time of admission to intensive care unit (ICU)”	“Question”	“Datetime”	\N
“165992”	“Date/time admit to ICU”	“Question”	“Datetime”	\N
“165991”	“History of antibiotic therapy”	“Finding”	“Coded”	\N
“165990”	“Provide supplemental oxygen via non-rebreather mask”	“Procedure”	“N/A”	\N
“165989”	“Provide supplemental oxygen via simple mask”	“Procedure”	“N/A”	\N
“165988”	“Dual pressure spontaneous ventilation support”	“Procedure”	“N/A”	\N
“165988”	“Administration of bilevel positive airway pressure ventilation (BPAP)”	“Procedure”	“N/A”	\N
“165988”	“BiPAP”	“Procedure”	“N/A”	\N
“165987”	“Intravenous fluid intake rate (mL/hr)”	“Question”	“Numeric”	\N
“165986”	“Delivered oxygen flow rate (L/m)”	“Question”	“Numeric”	\N
“165986”	“O2 flow”	“Question”	“Numeric”	\N
“165985”	“Haemoglobin in arterial blood (mass/volume)”	“Test”	“Numeric”	\N
“165985”	“Hemoglobin in arterial blood (mass/volume)”	“Test”	“Numeric”	\N
“165984”	“Arterial pH”	“Test”	“Numeric”	\N
“165984”	“pH of arterial blood”	“Test”	“Numeric”	\N
“165983”	“Neck examination (text)”	“Finding”	“Text”	\N
“165982”	“COVID-19 virus RNA viral load measurement by probe and target amplification method (log number/volume)”	“Test”	“Numeric”	\N
“165982”	“Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA viral load measurement by probe and target amplification method (log number/volume)”	“Test”	“Numeric”	\N
“165981”	“Saliva COVID-19 virus RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165981”	“Saliva severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165981”	“Oral fluid severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA detection by probe and target amplification method”	“Test”	“Coded”	\N
“165980”	“Infected tissue expander”	“Diagnosis”	“N/A”	\N
“165979”	“Bleeding stress ulcer of stomach”	“Diagnosis”	“N/A”	\N
“165978”	“Occlusion of peripherally inserted central catheter (PICC)”	“Diagnosis”	“N/A”	\N
“165977”	“Postoperative osteomyelitis”	“Diagnosis”	“N/A”	\N
“165976”	“Peri-operative MI”	“Diagnosis”	“N/A”	\N
“165976”	“Perioperative myocardial infarction”	“Diagnosis”	“N/A”	\N
“165975”	“Antibiotic adverse reaction”	“Diagnosis”	“N/A”	\N
“165975”	“Adverse reaction to antibiotic”	“Diagnosis”	“N/A”	\N
“165974”	“Pediatric multisystem inflammatory syndrome associated with COVID-19”	“Diagnosis”	“N/A”	\N
“165974”	“Pediatric multisystem inflammatory syndrome associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection”	“Diagnosis”	“N/A”	\N
“165973”	“PFA”	“Procedure”	“N/A”	\N
“165973”	“Psychological first aid (PFA)”	“Procedure”	“N/A”	\N

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for June 6, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1, 2.2 and 2.3!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release contains additional new concepts and coding updates to support applications required to monitor or treat the novel Coronavirus outbreak (COVID-19). Please be sure to update existing concepts as well since the code maps have changed. It includes additional concepts for PIH, MSF and CPG-IG.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

“concept_id”	“name”	“Class”	“Datatype”	“description”
“166024”	“RIFLE score”	“Question”	“Text”	“Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease classification (RIFLE)”
“166024”	“RIFLE classification of acute kidney injury”	“Question”	“Text”	“Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease classification (RIFLE)”
“166023”	“Calculation of model for end-stage liver disease (MELD) score”	“Test”	“Numeric”	\N
“166022”	“Activated coagulation time”	“Test”	“Numeric”	\N
“166022”	“Activated clotting time (min)”	“Test”	“Numeric”	\N
“166021”	“Nursing care plan”	“Question”	“Text”	\N
“166020”	“Comorbidity present”	“Question”	“Coded”	\N
“166019”	“Immunosuppressed”	“Finding”	“Coded”	\N
“166019”	“Immunosuppression status”	“Finding”	“Coded”	\N
“166018”	“D-dimer”	“Test”	“Numeric”	\N
“166017”	“N-terminal pro brain natriuretic peptide (NT-proBNP) measurement”	“Test”	“Numeric”	\N
“166017”	“NT-proBNP measurement”	“Test”	“Numeric”	\N
“166016”	“Brain natriuretic peptide (BNP) measurement”	“Test”	“Numeric”	\N
“166015”	“Quarantine hospital”	“Misc”	“N/A”	\N
“166015”	“Quarantine facility”	“Misc”	“N/A”	\N
“166015”	“Quarantine institution”	“Misc”	“N/A”	\N
“166014”	“Provider role”	“Question”	“Coded”	\N
“166014”	“Health worker role”	“Question”	“Coded”	\N
“166014”	“Health worker type”	“Question”	“Coded”	\N
“166013”	“Medical technician”	“Misc”	“N/A”	\N
“166013”	“Biomedical technician”	“Misc”	“N/A”	\N
“166012”	“Building maintenance worker”	“Misc”	“N/A”	\N
“166012”	“Building caretaker”	“Misc”	“N/A”	\N
“166012”	“Janitor”	“Misc”	“N/A”	\N
“166011”	“Vaccine, non-coded”	“Question”	“Text”	\N
“166011”	“Immunization, non-coded”	“Question”	“Text”	\N
“166010”	“Nurse assistant”	“Misc”	“N/A”	\N
“166010”	“Nurse aide”	“Misc”	“N/A”	\N
“166010”	“Nursing aide”	“Misc”	“N/A”	\N
“166009”	“COVID-19 program”	“Program”	“N/A”	\N
“166008”	“Administer convalescent plasma”	“Procedure”	“N/A”	\N
“166007”	“Transfuse convalescent plasma (volume)”	“Question”	“Numeric”	\N
“166006”	“Category of site of insertion of intravenous catheter (IV)”	“Question”	“Coded”	\N
“166005”	“General lymph node exam (text)”	“Finding”	“Text”	\N
“166004”	“Insertion of peripheral intravenous catheter (IV)”	“Procedure”	“N/A”	\N
“166004”	"Insertion of catheter into peripheral vein "	“Procedure”	“N/A”	\N
“166003”	“Arterial blood lactate (moles/volume)”	“Test”	“Numeric”	\N
“166002”	“Arterial tCO2”	“Test”	“Numeric”	\N
“166002”	“Arterial blood total carbon dioxide (moles/volume)”	“Test”	“Numeric”	\N
“166002”	“Arterial blood total CO2”	“Test”	“Numeric”	\N

[mozzy (Moses Mutesasira)]

Great work @akanter , cc @ball

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox for July 20, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1, 2.2 and 2.3!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release is primarily a bug fix release. Three countries were added to the Country set concept, and several concept names were repaired. A few concepts were created for the novel Coronavirus outbreak (COVID-19) for the CPG-IG.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

"concept_id"	"name"	"Class"	"Datatype"	"description"
"166031"	"Quick COVID-19 Severity Index"	"Question"	"Numeric"	\N
"166031"	"qCSI"	"Question"	"Numeric"	\N
"166030"	"DIC score"	"Question"	"Numeric"	"FORMULA
Diagnostic criteria for overt DIC (patient has to have an underlying disorder known to be associated with overt DIC to use this algorithm):
Platelet count, cells x 10^9/L
  ≥100 0 pt
  50 to <100 1 pt
  <50 2 pmts
Elevated levels of a fibrin-related marker* (e.g. D-dimer, fibrin degradation products)
  No increase 0 pt
  Moderate increase 2 pts
  Severe increase 3 pts
Prolonged PT, seconds
  <3 0 pts
  3 to <6 1 pt
  ≥6 2 pts
Fibrinogen level, g/L
  ≥1 0 pt
  <1 1 pt

Add the four variables together. Result 0 to 8.
*Use lab-specific cutoff values."
"166030"	"Disseminated intravascular coagulation score"	"Question"	"Numeric"	"FORMULA
Diagnostic criteria for overt DIC (patient has to have an underlying disorder known to be associated with overt DIC to use this algorithm):
Platelet count, cells x 10^9/L
  ≥100 0 pt
  50 to <100 1 pt
  <50 2 pmts
Elevated levels of a fibrin-related marker* (e.g. D-dimer, fibrin degradation products)
  No increase 0 pt
  Moderate increase 2 pts
  Severe increase 3 pts
Prolonged PT, seconds
  <3 0 pts
  3 to <6 1 pt
  ≥6 2 pts
Fibrinogen level, g/L
  ≥1 0 pt
  <1 1 pt

Add the four variables together. Result 0 to 8.
*Use lab-specific cutoff values."
"166029"	"Heart failure with preserved ejection fraction"	"Diagnosis"	"N/A"	\N
"166028"	"Heart failure with reduced ejection fraction"	"Diagnosis"	"N/A"	\N
"166027"	"Systolic heart failure"	"Diagnosis"	"N/A"	\N
"166026"	"Toussie chest x-ray severity score"	"Question"	"Numeric"	"CXR divided into three zones: lower, middle and upper zones and then divided right and left. Opacity noted in any zone adds 1 point. Range 0-6."
"166025"	"Sex at birth"	"Question"	"Coded"	\N

[akanter (Andrew Kanter)]

New version of CIEL dictionary added to dropbox AND updated on Open Concept Lab for August 22, 2020.

Just wanted to let folks know that I am posting a new version of the CIEL concept dictionary in the dropbox with versions including 1.6.6, 1.7.3, 1.8.3, 1.9.9, 1.10.2, 1.11.4, 2.0, 2.1, 2.2 and 2.3!

Can I please remind everyone using the CIEL dictionary that this is a trust model. We are providing the service to the community and the community assists by providing concepts they require back to CIEL. This also includes translation of CIEL concepts into other languages. If you have added concepts to your dictionary and have not reported them back to CIEL, I strongly encourage you to do so (if guilt doesn’t work, then I will start to harass you :).

If this is the first time you are hearing about the MVP/CIEL concept dictionary which now comes as a standard option with the standalone appliance, you can get updates from the CIEL dropbox. You can send me an email describing your openmrs implementation, version number, country and project… and I will add you to the dropbox.

Be sure to read the wiki: https://wiki.openmrs.org/display/docs/Getting+and+Using+the+MVP-CIEL+Concept+Dictionary

NOTE THAT A NEW DISTRIBUTION METHODOLOGY FOR CIEL USING THE OPEN CONCEPT LAB WILL BE AVAILABLE SOON. PLEASE BEGIN TO TRANSITION TO THE SUBSCRIPTION MODULE.

Each version includes the global property ciel.conceptsVersion which contains the date of the release in YYYYMMDD format. A new global property update was added for 1.11+ which will force recreation of the word index as this is no longer included as part of the CIEL upload.

This release included a few concepts for MSF plus all of the COVID-19 diagnosis concepts included in the COVID-19 collection have had ICD-11-WHO codes provided.

It also includes a separate drug table which contains all of the WHO essential medication list drugs linked to the concept table. The plan is to integrate these two more closely providing concept sets of drugs which parallel the WHO classifications. The drug table may eventually become a superset of international RxNorm encoded medications from which you can select from. For now, it is just the WHO EML. We will keep the SQL separate for now so that you don’t have to overwrite your local drug table when importing the CIEL concept dictionary.

The drug table was NOT updated for this release.

Concepts added for this release:

“concept_id”	“name”	“Class”	“Datatype”	“description”
“166037”	“Upper extremity functional index (UEFI) score”	“Question”	“Numeric”	\N
“166036”	“Upper extremity functional index (UEFI)”	“Procedure”	“N/A”	\N
“166035”	“Lower extremity functional scale (LEFS)”	“Procedure”	“N/A”	\N
“166034”	“Vancouver Scar Scale (VSS) score”	“Question”	“Numeric”	\N
“166033”	“Vancouver Scar Scale (VSS)”	“Procedure”	“N/A”	\N
“166032”	“LEFI score”	“Question”	“Numeric”	\N
“166032”	“Lower extremity functional scale (LEFS) score”	“Question”	“Numeric”	\N

[mozzy (Moses Mutesasira)]

great Job @akanter