The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment
| Autor: | Bernard C. Silenou, Maté Strysewske, Martin Wahnschaffe, Chinedu Chukwujekwu Arinze, Carl Leitner, Juliane Doerrbecker, Daniel Tom-Aba, Gérard Krause, Carl Fourie |
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| Přispěvatelé: | HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Process management
Computer science Health Informatics Context (language use) infectious diseases Global Health contact tracing Disease Outbreaks 03 medical and health sciences 0302 clinical medicine West Africa eHealth Web application case management Humans 030212 general & internal medicine mHealth Ebola Virus Disease 0303 health sciences Disease surveillance Original Paper 030306 microbiology business.industry Public Health Environmental and Occupational Health Civil Defense Maturity (finance) Digital health Capability Maturity Model Population Surveillance epidemiology Public aspects of medicine RA1-1270 business Sentinel Surveillance |
| Zdroj: | JMIR Public Health and Surveillance, Vol 6, Iss 2, p e15860 (2020) JMIR Public Health and Surveillance e15860 JMIR public health and surveillance Canada |
| ISSN: | 2369-2960 |
| Popis: | Background Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. Objective The objective of this study was to evaluate the maturity of SORMAS using Digital Square’s GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. Methods We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity. Results The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity. Conclusions To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity. |
| Databáze: | OpenAIRE |
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