2021/08/22 by Scott Russpatrick, Russpatrick, Scott, Magnus Li +21
Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare #Computers and Society (cs.CY) #Data Quality and Management #Electronic Health Records Systems #FOS: Computer and information sciences #Mobile Health and mHealth Applications
paper · pdf · doi:10.48550/arxiv.2108.09721
openalex publication_date 2021/08/22 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
This article reports from an ongoing 'evaluation for improvement' action\nresearch and participatory design project in Rwanda, where the aim is to\nimprove data use practices and the capabilities of the District Health\nInformation Software 2 (DHIS2), an open source health information management\nplatform, to support data use. The study of data use at health facility and\ndistrict level showed that while data was used routinely at, for example,\nmonthly coordination meetings, the DHIS2 dashboards and other analytical tools\nwere in limited use because users preferred to use Microsoft Excel for data\nanalysis and use. Given such findings, a major focus of the project has been\ndirected towards identifying shortcomings in data use practices and in the\nsoftware platform and to suggest, design and eventually implement changes.\nWhile the practical work on implementing improvements have been slow due to the\nCOVID-19 pandemic, the suggested design improvements involve many levels of\nsystem design and participation, from the global core DHIS2 software team, the\ncountry DHIS2 team and local app development, the Rwanda Ministry of Health,\nand health workers at local level.\n