JSI Research & Training Institute, Inc., partnered with RTI International to develop a District Health Information Software 2. The DHIS2 is helping the Regional Health Directorate in Faranah, Guinea to better understand the health services and needs of its communities.
With USAID’s support, MEASURE Evaluation has revised the Performance of Routine Information Systems Management (PRISM) tools to help countries identify gaps in their routine health information system.
The state of available data on TB prevalence, programs, and their results differs from place to place. To ensure that data are reliable, all health information systems and studies need means of assessing and ensuring data quality.
In an ever-changing public health landscape, knowledge exchange is crucial to overcome challenges and utilize new opportunities to improve health.
In many countries, at both community and facility levels, it is often under-resourced frontline health workers who enter duplicative data into paper-based systems—data which is then not used effectively for decision-making. Workshop attendees learned how digital tools are being used to collect data as part of service provision and shared across interoperable information systems. This interoperability allows development of people-centered information systems and facilitates continuity of care.
This summer, Protichi Basak and Nikita Gupta are working with OpenLMIS, which is an initiative to support the development of an open-source software for Logistics Management Information Systems (LMIS). As computer scientists, they believe that technology has the power to provide an automated solution to any real-world problem. In this blog, they share their coding for public health story.
Having deployed OpenLMIS in three countries, JSI has experienced first-hand how dynamic the environment is. A more modular version with plug and play features will provide much needed flexibility to meet the evolving demands of tomorrow’s health supply chains.
Countries and development partners have made progress in strengthening data collection and deploying technologies to move data up the health system for monitoring and evaluating performance. But to realize the transformative power of information, it is the frontline healthcare workers—the doctors, nurses, community health workers, etc.—who require information to make informed, intelligent decisions.
To prevent future outbreaks of Ebola and other diseases, high-quality health information system data must be readily available.