Developing a facility register combined with an infrastructure dashboard and access system

The facility register—or Master Facility List—is a key component of this integration work (as shown in Fig. 4.2). To provide access for other systems to the same facility register through the web API (Application Programming Interface) in a standardized way (as in OpenHIE) is a centrally required functionality. Facility infrastructure systems covering resources and services are easily developed using facility register access and information, and are now given high priority in future global health.

The Global Fund has identified the DHIS 2 as an open source data warehouse (http://www.dhis2.org) to serve as a national reference application to support these various integration efforts for both aggregate and case-based reporting.

Indonesia is one of the countries where several of the above integration efforts are currently being implemented as a coordinated effort of various actors, involving the Global Fund, government, University of Oslo, University of Gadjah Madah, HISP India, HISP Vietnam, and others, whose parallel systems are being integrated by transferring key aggregate data from the individual systems to the data warehouse, which again feeds the dashboard. The architecture in the making is presented in Figure 4.2.

Integration of parallel systems in Indonesia. The health facility register is mapping the different codes for facilities used by the systems so that data can be shared

Fig. 4.2 Integration of parallel systems in Indonesia. The health facility register is mapping the different codes for facilities used by the systems so that data can be shared.

In Indonesia, as will be the case for many countries, most of the parallel systems are using their own codes for the health facilities. In order to be able to share facility-based data, it is therefore necessary to map the different codes used for the same facility into one unique ID. The health facility register, as shown in the figure, is maintaining a table of all codes used by the different systems and maps them into the correct facility, so that the data warehouse can combine data from the the different systems that have data on the same facility. We see that several of the priorities listed by the Global Fund are combined into these efforts; integrating parallel systems, such as HIV/AIDS, malaria, as well as also logistics systems (LMIS). In addition, integration with the universal health coverage insurance system is targeted in this effort. We also see that once data is being integrated in the data warehouse for statistical data, the dashboards are relatively easy to design and develop.

 
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