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Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study

Authors :
Hiro Putra Faisal
Masaharu Nakayama
Source :
JMIR Medical Informatics, Vol 12, Pp e59651-e59651 (2024)
Publication Year :
2024
Publisher :
JMIR Publications, 2024.

Abstract

Abstract BackgroundThe National Disaster Management Agency (Badan Nasional Penanggulangan Bencana ObjectiveThis study aims to implement the WHO EMT MDS to create a disaster profile for the SATUSEHAT platform using FHIR. MethodsWe extracted variables from 2 EMT MDS medical records—the WHO and Association of Southeast Asian Nations (ASEAN) versions—and the daily reporting form. We then performed a mapping process to match these variables with the FHIR resources and analyzed the gaps between the variables and base resources. Next, we conducted profiling to see if there were any changes in the selected resources and created extensions to fill the gap using the Forge application. Subsequently, the profile was implemented using an open-source FHIR server. ResultsThe total numbers of variables extracted from the WHO EMT MDS, ASEAN EMT MDS, and daily reporting forms were 30, 32, and 46, with the percentage of variables matching FHIR resources being 100% (30/30), 97% (31/32), and 85% (39/46), respectively. From the 40 resources available in the FHIR ID core, we used 10, 14, and 9 for the WHO EMT MDS, ASEAN EMT MDS, and daily reporting form, respectively. Based on the gap analysis, we found 4 variables in the daily reporting form that were not covered by the resources. Thus, we created extensions to address this gap. ConclusionsWe successfully created a disaster profile that can be used as a disaster case for the SATUSEHAT platform. This profile may standardize health data collection during disasters.

Details

Language :
English
ISSN :
22919694
Volume :
12
Database :
Directory of Open Access Journals
Journal :
JMIR Medical Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.2a2305863df14daaaf6fd156d0a69a0a
Document Type :
article
Full Text :
https://doi.org/10.2196/59651