Propose Ideas for OMRS17 Unconference Sessions

implementers
omrs17
malawi
Tags: #<Tag:0x00007f23dd63d9b0> #<Tag:0x00007f23dd63d870> #<Tag:0x00007f23dd63d730>

(Jeff Neiman) #1

Suggest topics you’d like to discuss during the meeting here.

Our schedule and venue allows for about 30 unconference 1-hour sessions. Even if you don’t have ideas for sessions to suggest in mind, please take a moment to browse sessions being suggested below and “like” (click the heart) any suggestions that you would like to attend. You may get some ideas for new topics from seeing others’ suggestions.

Please include a title, a short description, who might be interested in the topic, what people should expect to get out of the hour-long discussion, and who you think might be a good facilitator (can be yourself or may be others). Putting “####” in front of your title will highlight it in your post.

  • Please limit replies only to proposed sessions (avoid discussions in this thread) – i.e., if you want to discuss any entry below or this topic in general, click on the timestamp for the post (on the top right edge of it) and then click the “+ New Topic” link to create a linked topic.

  • If you see something you like… vote for it! If someone has suggested an idea you would like to discuss or participate in, please “like” the post by clicking its heart icon.

Example:

#### Implementation Priorities

Discuss what are the priorities for implementations and how we, as a community, can maximize how many we address.

Who may be interested? Anyone in the community.

What you can expect to get out of this discussion: We expect everyone to get a better idea of what implementations are focusing on in 2017, highlight the common parts & differences, and help drive community development priorities in 2017 based on these findings.

Suggested facilitator(s): @janflowers, @burke


Announcing the 2017 Malawi OpenMRS Implementers’ Meeting!
What is workflow OCL uses for updating a local OpenMRS implementation?
(Ellen Ball) #2

Panel discussion: OpenMRS Point of Care - Real World Case Studies of Approaches and Challenges in Kenya, Mozambique, and Haiti

This will be a panel discussion (December 4-6) at the Global Digital Health conference in Washington, DC by @janflowers, @jdick, @ball, @wanyee, @valvijo. The OMRS17 community might also be interested in the combined experiences of these implementations and the panel discussion. Not sure how many from the panel will be attending the Malawi conference, but we can try to repeat.

Who may be interested? Anyone in the community.

What you can expect to get out of this discussion: We expect everyone to get a better idea of what implementations are focusing on in 2017, highlight the common parts & differences, and understand the challenges/wins of point-of-care systems.

Suggested facilitator(s): @janflowers


(Ellen Ball) #3

Non-communicable disease (NCD) implementations

Discuss the current implementations that are used for NCDs. Are they used at point-of-care? What forms, concepts, reports are available? Are there designs for an NCD dashboard.

Who may be interested? Anyone involved in planning and implementing NCD programs.

What you can expect to get out of this discussion: We expect everyone to get a better idea of what implementations are focused on NCDs, highlight the common parts & differences, and help drive community development priorities in 2017.

Suggested facilitator(s): @ball


(Cintia Del Rio) #4

How openmrs changed communities, healthcare, and lives

I will be crafting a talk for the next linuxconf, and I need your help.
Bring me your photos, your stories. Tell me about the difficulties, the nice things, the hospital staff, how openmrs affected lives. I want to show how important OpenMRS has been, and that we do make a difference in the world.

Suggested facilitator(s): @cintiadr

Note: if you’ve made talks about it, articles, books, anything, please send me! Even if this session doesn’t get selected, I still have to create a talk :smiley:


(Stephen Senkomago Musoke) #5

These talks to focus on experiences leveraging OpenMRS distributions at national scale from a Ministry of Health policy, strategy and program management perspective

  1. OpenMRS Implementation At Scale - Strategy and Experiences from National Rollout in Uganda currently targeting 2,500 sites at 25% progress & KenyaEMR. What lessons are learned, what has worked, how is MoH working together with other stakeholders to make this process succeed, how is the global community being leveraged?
  • Members: ​Dr Eddie Mukooyo/MOH Uganda, Evelyn​ Akello​/MakSPH Uganda, @wanyee/Kenya, Vincent Ndazima​/CDC Uganda, WHO Representative Uganda

  • Moderator: @ssmusoke /METS-UCSF

  1. OpenMRS and HIV Case Based Surveillance - How the UgandaEMR distribution being leveraged as a foundation for HIV Case Based surveillance in Uganda to improve patient monitoring and understand the epidemic
  • Members: ​Carol Kyozira/MOH Uganda, Edgar​ Kansime/MakSPH Uganda, District Health Officer Uganda, @ssmusoke/METS-UCSF, Patrick Omiel/CDC Uganda​

  • Moderator: @jmpango/MakSPH Ug​anda


(Evelyn Akello) #6

These should be interesting discussions, the panels are varied with a cross range of experienced speakers and moderators.


(Mike Seaton) #7

Reference application development and collaboration

Bring together the groups that are building upon the reference application and implementing refapp-based distributions to review latest innovations, discuss plans and road map for upcoming enhancements, and identify areas of collaboration.

Who may be interested? Those who are developing and implementing reference application-based distributions

What you can expect to get out of this discussion: We expect everyone to get a better idea of who is actively developing functionality on top of the reference application, what functionality can be shared, where there are opportunities to generalize and collaborate, and what the future reference application roadmap might look like based on the priorities of the organizations who are actively moving it forward.

Suggested facilitator(s): @mseaton and @ssmusoke


(Mpango Jonathan) #8

Implementation experience with OpenMRS at busy public health facilities within Kampala Capital City, Uganda.

This talk will focus on the experience of implementing OpenMRS in public health facilities located in Urban busy areas. An Implementer’s perspective

  • Members: Edison Katunguka/IDI-Kampala Uganda, Vincent Ndazima/CDC-Uganda, @jmpango/MakSPH Uganda, @carapai/MakSPH Uganda, Maganizo Monawe / MoH - Malawi, Isaac Muwonge/UgandaEMR Trainer/IDI-Kampala Uganda

  • Moderator: @dkayiwa / Uganda OpenMRS Community/ OpenMRS


(Ellen Ball) #9

Concept management and OCL

Discuss the state of Open Concept Lab (OCL) and discuss implementations challenges with concept management.

Who may be interested? Anyone in the community who is interested in metadata and the concept dictionary.

What you can expect to get out of this discussion: Expect a better idea of the state of OCL and moving forward as a community to move this project further.

Suggested facilitator(s): @akanter @ball @paynejd?


(Ellen Ball) #10

Monitoring & Evaluation (M&E)

  • Data quality and data capture.
  • Minimize data entry errors and pop-ups
  • Check completeness and accuracy of data by clinicians
  • Statistical tools and reporting (ie. SAS, R, etc.)

Addressing challenges in a resource-constrained environment

What opportunities are available rather than using paper-based – exploring the possibility of using tablets. Child servers – syncing data, connectivity issues.

Decision support at a point of care by clinicians

Look at how data is captured during patient screening for diseases (HIV, TB, NCDs, Mental health). How do clinicians would use that data for decision support?

Suggested facilitator(s): Alex Preibe, Liberty Neba, George Malunga, Limbani Thengo and the APZU (PIH Malawi) team


(Patience Atukunda) #11

Patient Record Matching using Neural Networks in an African context

Patient Record matching can be very problematic when a unique patient identifier is not available which is common in many African public health settings. This is exacerbated by the fact that addresses are not well coded and used, contact numbers are not very common and a large proportion of the population is migratory, due to search for employment. Methods like probabilistic matching have been used in many cases but have got a limitation when it comes to matching millions of patient records. Machine learning techniques are one of the modern ways that have proved to work effectively and efficiently yet cost effective due to reducing costs of the technology and computing resources.

This presentation sets the groundwork for a Master’s thesis to design an Elman Neural Network with a Back Propagation Algorithm that will be used to match patient records from one health facility to another in an HIV Care setting.I would like to know from the audience if there are counties that have employed machine learning techniques to match patient records and what their experience is.

Presenter: Patience Atukunda


(Jeff Neiman) made this a banner . It will appear at the top of every page until it is dismissed by the user. #12

(Jeff Neiman) removed this banner . It will no longer appear at the top of every page. #13

(Jeff Neiman) pinned globally #14

(Jeff Neiman) unpinned #15

(Stephen Senkomago Musoke) #16

Addressing challenges in using the OpenMRS Reporting Module

  • How to leverage the power and flexibility of the OpenMRS reporting module
  • What is the implementer wish list for adopting this module
  • What next for the reporting module

Members: @mseaton @darius @mksd

Moderators: @k.joseph


(Stephen Senkomago Musoke) #17

Alternate approaches to reporting outside OpenMRS - what options are being used to generate reports outside the platform

  • What tools and platforms are being considered
  • What are the learnings and experiences to-date
  • What does the future hold?

(Burke Mamlin) #18

DHIS2 Integration

Where are we with OpenMRS-DHIS2 integration? Can we, as a community, develop a road map for a shared approach going forward?

Who may be interested? Anyone using OpenMRS and integrating it (or wishing to integrate it) with DHIS2

Objective(s): At least 2-3 implementations aligned and invested on a pragmatic approach to DHIS2 integration that could eventually grow to be widely used within the community.

Suggested facilitator(s): @maurya, @jamesm


(Johnblack Kabukye) #19

Oncology support in OpenMRS ecosystem

There has been some discussions about this. @jeffneiman even created an oncology working group Let’s meet and discuss how to develop forms for standardized but parsimonious data capture, oncology workflow support, chemotherapy management, and reuse of data e.g. for reporting (integration with CanReg)


(Vladimir Choi) #20

CIEL: Past and Future

Discuss the history and accomplishments of CIEL, and where it is headed with regards to concept coverage, mapping, QA, governance, improvement of submission/approval workflow, potential migration to OCL, etc.

Who may be interested? Anyone involved in terminology, metadata, concept management, etc.

What you can expect to get out of this discussion: Clearer expectations of CIEL in the years to come, in particular, governance, QA, and its relationship with OCL.

Suggested facilitator(s): @akanter, @paynejd