TY  - JOUR
AU  - Faisal, Hiro Putra
AU  - Nakayama, Masaharu
PY  - 2024
DA  - 2024/8/28
TI  - 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
JO  - JMIR Med Inform
SP  - e59651
VL  - 12
KW  - WHO EMT MDS
KW  - FHIR
KW  - SATUSEHAT
KW  - disaster
KW  - implementation
KW  - development
KW  - validation
KW  - emergency medical team
KW  - disaster management
KW  - Indonesia
KW  - Fast Healthcare Interoperability Resources
KW  - resources
KW  - interoperability
KW  - electronic medical records
KW  - EMR
KW  - reporting
KW  - disaster profile
KW  - health data
KW  - health data collection
KW  - World Health Organization
KW  - EMT
KW  - WHO
KW  - MDS
KW  - minimum dataset
AB  - Background: The National Disaster Management Agency (Badan Nasional Penanggulangan Bencana) handles disaster management in Indonesia as a health cluster by collecting, storing, and reporting information on the state of survivors and their health from various sources during disasters. Data were collected on paper and transferred to Microsoft Excel spreadsheets. These activities are challenging because there are no standards for data collection. The World Health Organization (WHO) introduced a standard for health data collection during disasters for emergency medical teams (EMTs) in the form of a minimum dataset (MDS). Meanwhile, the Ministry of Health of Indonesia launched the SATUSEHAT platform to integrate all electronic medical records in Indonesia based on Fast Healthcare Interoperability Resources (FHIR). Objective: This study aims to implement the WHO EMT MDS to create a disaster profile for the SATUSEHAT platform using FHIR. Methods: We 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. Results: The 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. Conclusions: We 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. 
SN  - 2291-9694
UR  - https://medinform.jmir.org/2024/1/e59651
UR  - https://doi.org/10.2196/59651
DO  - 10.2196/59651
ID  - info:doi/10.2196/59651
ER  -