BAO, Ona and VillageReach will showcase a proof of concept integration at the Global Digital Health Forum in December 2017.
Time/Date: December 6 at 1:30 - 4:00pm
The following page is the notes and discussion of putting that lab together.
Integration lab description
Many countries considering their health information system (HIS) strategy have expressed a growing interest in integrating systems and incorporating systematic analysis of Logistic Management Information System (LMIS) and Health Management Information System (HMIS) data to improve supply chain performance and service delivery. Specifically for immunization supply chains, interest is rapidly growing in data for management and the provision of high-quality data for accurate and informed decision-making. For this lab session, participants will see a demonstration environment on three systems: DHIS 2, OpenLMIS and OpenSRP, all of which manage both LMIS and HMIS data within immunization supply chains across countries.
The OpenLMIS, DHIS 2, and OpenSRP Integration Lab aims to present a proof-of-concept for systems integration, demonstrating how supply chain and health information systems can bring data together for decision-making and reporting while maximizing data capture and reducing redundancies. The lab will hold a discussion on the key steps, data governance decisions, and technical requirements behind a DHIS 2 (HMIS), OpenLMIS (LMIS), and OpenSRP (point of care vaccine registry) integration. The lab will demonstrate how data captured in varying systems can be visualized together in another system to drive better decision making. During the lab, participants will see how an electronic LMIS (OpenLMIS) feeds stock level and inventory data into the HMIS (DHIS 2) where it can be compared against vaccine coverage information reported by a digital registry (OpenSRP). Additionally, participants will see how stock levels of vaccines can be viewed side-by-side for a particular facility or geographic area. Throughout the lab, participants will be asked to share experiences and join the discussion to identify lessons learned and additional opportunities.
Specific indicators that leverage data from BOTH HMIS and LMIS:
Vaccine utilization rate = vaccines administered / vaccines available for consumption
Not in Scope: Classification from DVDMT. Wastage comes from LMIS, Coverage/Targetted comes from HMIS
For details and an example of classification please see the "Class" tab in the DVDMT attached below.
Classification: presents by facility/district the trend of performance in term of categorization. Four (4) performance categories (which are by vaccine) are defined as follow:
a) clas_A: for a facility/district with coverage >= targetted and wastage rate <= expected.
b) clas_B: for a facility/district with coverage >= targetted and wastage rate > expected.
c) clas_C: for a facility/district with coverage < targetted and wastage rate <= expected.
d) clas_D: for a facility/district with coverage < targetted and wastage rate > expected.
Example DVDMT (District Vaccine Data Management Tool) for Maputo: DropBox
2. If time, populate relevant vaccination reports/indicators (potentially portions of the DVDMT) leveraging data from DHIS 2, OpenSRP and OpenLMIS.
LMIS reports = Full Stock Availability and Closed Vial wastage
HMIS reports = WHO DHIS 2 module (there are quite a few charts)
The meeting went great and we hope to obtain access to the module and apps for the POC. The following presentation was shared by Knut. We focused on the Routine Immunization piece.
Routine health facility information system (RHIS)
WHO wants to provide guidance on how it should be used better.
Address critical gaps/harmonize and disseminate standards
Catalyse join support
Align investments
Global deliverables
Master facility lists, analytical outputs, package of data standards & tools, indicators metadata
A standard health app
Uganda and DRC for testing the Routine Immunization application
Ghana has mapped their indicators from DHIS to the DVDMT so the excel file is populated.
DHIS 2 Applications
WHO meta data browser
Immunization analysis module (to support more graphs)
Coverage vs dropout rate (box plot
The following presentation was shared by Knut and is NOT the final module/application details. Please make sure to contact Knut or DHIS 2 directly for information on the module and applications. The information below is prior to release and still in the piloting phase.
Next Steps
Mary Jo sent out the GDHF blurb and DISC indicators to Knut
Knut to share the PPT he presented
Steffen to follow up with Knut to see if we can gain early access to the module
