Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Apr 19, 2026
Date Accepted: Sep 15, 2026
Standardizing Disaster Health Data Visualization With Fast Healthcare Interoperability Resources in Indonesia: Dashboard Development and Technical Evaluation
ABSTRACT
Background:
Health data management during disasters enables responders to assess the needs of survivors, efficiently allocate resources, and monitor survivors’ health conditions. However, it is essential for government agencies to interpret health data in real time during disasters, as the volume and complexity of such data can hinder timely decision-making.
Objective:
In this study, we aimed to develop a visual interface for Fast Healthcare Interoperability Resources (FHIR)-based data from various sources, using the daily report form of the World Health Organization (WHO) Emergency Medical Teams Minimum Dataset (EMT MDS) as a template and ensuring compliance with the SATUSEHAT platform.
Methods:
The proposed solution involves creating a dashboard application within a web-based system to visualize health data using FHIR, leveraging the WHO EMT MDS disaster profile. The interface includes overview, location, and demographic pages that display information in tables, graphs, and maps. This application was developed using JavaScript and React. The dataset consisted of 13,300 patients, generated using GPT-5 based on the Synthea and stored on the HAPI FHIR server.
Results:
We developed a dashboard application based on the WHO EMT MDS daily reporting form comprising three main pages: Overview, Demography, and Location. The Demography page contains several sections, including the total number of patients, health conditions, outcomes, relationships, and protection. The location lists all healthcare facilities and their corresponding positions on a map. Each location page displays detailed information regarding the organization and demographics of each location.
Conclusions:
The dashboard application demonstrates that health data collected in accordance with FHIR standards can be integrated and presented in a form suitable for disaster response. This system has the potential to support disaster management agencies by enabling real-time, data-driven decision-making during disaster response.
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