2018 DHIS2 Symposium
Schedule
https://dhis2symposium2018.sched.com/
Day 1 (Thursday, March 22)
Plenary presentations
From Container to Content: DHIS 2 as Canal to Foster Convergence, Completeness, Commensurability and Quality
Knut Staring
More guidance on how to actually implement → essentially talking about the DHIS 2 Community of Practice (CoP)
UiO department of informatics WHO collaborating centre: Innovation and implementation research for health information systems strengthening
UiO/HISP/WHO → developing better standardized guidance on dashboards based on WHO recommendations
Health data collaborative
WHO/UiO/USAID MEval, PEPFAR, UNICEF + GFATM & Gavi
Packages
Guidance, packages, essentially an implementer’s guide
Have chosen 6 countries for initial testing: Malawi, Myanmar, Pakistan, Tanzania, Uganda, Zimbabwe
Packages - Working at WHO HQ Geneva and UiO to come up with the outputs, the minimums that all countries should pay attention to. Trends = immunization, an important indicator is coverage.
Curriculum - system agnostic, can be used with any system.
Exercises - use with the DHIS2 demo database, building a new environment
A package to “get started” with dashboards and all basic indicators/information a country may need
Packages are designed to be generic. Can fit with existing data. Can download just the outputs (dashboards) and link to your own existing legacy data, or you can download the data elements, categories, etc., to fully guide an implementation. Use generic periods, org units, etc.
Thinking is changing at UiO - they now want to provide guidance for streamlining and standardizing the collection and use of data using DHIS2
International Medical Corps asked a question about logistics systems specifically
Knut on LMIS - a very specialized topic and there are excellent systems out there. Generally we’re talking about integration. The strength that DHIS2 has is that it’s present at the health facility level. For the last mile of data collection, sometimes DHIS2 could potentially serve as an intelligence point that feeds back data on usage. Then, could have more sophisticated backbone systems that manage the actual supply chain. Could have more than one system at the last mile, but needs to appear as one system.
Follow up question from IMC: Do you recommend any sort of open source software that can be adopted into pharmacies and link consumption with patient information. OpenMRS?
Knut says that he didn’t emphasize the word community enough (!)
DHIS 2 Interoperability in the Rwanda Health Data Warehouse
Randy Wilson
Rwanda Health Systems Strengthening Project, Team Lead
MSH
Data is fed into the DHIS 2 instance at the central level, which is used as a data warehouse. Reports and indicators are then generated based on data from a variety of sources. Data comes from the Rwanda HMIS (DHIS 2) instance, the DHS, and others, and visualized in the data warehouse instance.
Made a replica of the first instance of RHMIS (DHIS 2), developed a set of sync tools for the metadata.
Structure
Org units
Data elements
Data values
Created indicators
Created analytical objects and dashboards
Metadata mapping scenarios
One to one
Many to one
Created data element groups and IDs
Problem to maintain, but he says it works
Challenges
Org. unit sync → moving between upgrades, sync breaks
Metadata mapping
Linking data elements between instances without a visual interface is tedious and error prone
Current sync script doesn’t update changed/deleted records
Future plans
Update sync scripts to handle updates and deletions in addition to just copying new records each month
Link to WO’s National health Observatory
Build a GUI for mapping metadata from other DHIS 2 instances
Link with eLMIS
80 tracer drugs are pulled from the Rwanda eLMIS instance
Collected by data managers and collected monthly, but now they use an API to pull that data directly from the eLMIS instance
Questions
Attempting to build a data warehouse community in Uganda
What did you need to say to people to convince them that this is a good idea?
Marketing wasn’t difficult, people knew it could be useful.
The issue comes afterward in its use - we’ll give you data but don’t let this person see it.
Open global data index - Rwanda scores high. MOH scores low.
Breakout Sessions
Streamlining Data Use between Programs and Systems
Tamara Goldschmidt - Bluesquare
Building a dashboard in Benin - mentioned the words “Global Good”
Integrating different sources in DHIS2, including private sector service provision data, health facility assessments, quality of care, etc.
Then enriching that data with population and demographic data - big data sources.
Using DHIS2 as a facility registry
Humanitarian data exchange (HDX) - a way to house data if you’re afraid that you’re going to lose it because a project will no longer be funded, etc.
Tracker 2.0 Roadmap
Mike Frost UiO
Talked about last mile logistics - the “holy grail” of health data, being able to match your logistics and health data to see both who is being immunized (example) and how much product has been used/available/etc.
Relatively new to use Jira to track DHIS2 development. Keep track of the roadmap for tracker.
Able to expand/comment/give feedback on things that DHIS2 is working on. Clear view of what’s coming in next releases.
Useful to capture data at the lowest level (SDP) and feed that into an LMIS
Same with EMR - integrate with OpenSRP
Could add to a patient record that they track over time
Aiming specifically at the CHW/SDP level. Modular basis, focus on MCH, then could add in a vx or pediatric component, etc. Could eventually approximate an EMR. Many settings aren’t ready for a full fledged EMR/LMIS/etc. UiO’s position is that Tracker positions itself to gather the data that they’re ready to capture.
Main message: DHIS2 is not trying to take the place of other purpose-built systems (EMR, LMIS), but Tracker can be used to approximate or provide some of that functionality as an interim solution as supply chains mature.
Questions
Richard Stanley - Intrahealth
Where do you see interoperability in a year from now? Where does this stand in terms of standards? FHIR? As a project implementer we have interoperability obligations
DHIS 2 is actively looking at FHIR - responsible to look at standards
Has been on some working groups (which ones? → follow up with Mike)
IHE group - profiles http://www.ihe.net/
Clinical health data community
IMC
Connectivity/power connection/challenges to SDP level data collection. Offline capable? Sync?
Offline capability approach is through Android. There are existing Android apps for DHIS2. Existing instance in Bangladesh. Decides which data to sync (doesn’t have to be all data, can be configured). Can store locally on the device.
HISP SA
Cost of SMS can be prohibitive. Exploring other ways to message? Whatsapp?
In-app notifications.
The future of the health Network Quality Improvement System (HNQIS)
PSI
Daniel Messer | CIO
Wycliffe Waweru | Evidence Team
Rodolfo Melia | PSI Information Architect
Day 2 (Friday, March 23)
DHIS2 New Generation Mobile App
Rodolfo Melia
DHIS2 Android today
Data Capture
Event Capture
Tracker Capture
One app per data model
Available since 2015.
100s of deployments live, with 1000s of users
Supported for last 3 versions of DHIS 2
New documentation on the website
How did they decide what to do/build next?
Took a public survey
35% responses came from MOH
35% came from iNGOs
15% academic institutions
Results
100% of respondents are using DHIS2 for health
Most users are using Tracker Capture 69%
22% have custom apps
Types of tracked entities were primarily people 85%
Others were lab samples, processes, water points, etc.
Interesting that no one mentioned products ie. LMIS
Future state
A single capture app
Highly visual
No distinction with DHIS2 data model
Android SDK
Responsible to provide offline services
Sychronized metatdata and data with a dhis2 instance
Security
Performance
New API endpoints on the DHIS side
Stress testing - what kind of memory is needed
Using apache kafka instead of having to download all data every time, you will only need to download the single, or few, changes that were made to the metadata
Long term: microservices
Re-architect the backend of DHIS toward microservices.
OpenLMIS: the global initiative for powerful LMIS software