Larasati, Fadhilah Khairuna and Maula, Ahmad Watsiq and Fuad, Anis and Sitaresmi, Mei Neni and Sudadi, null and Mahardinata, Nur Azid (2025) Harnessing E-Claim Data for Research: Building a Sustainable and Ethical Ecosystem in Gadjah Mada Academic Health System, Indonesia. IOS Press BV, 1372 - 1376. ISBN 978-164368608-0
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Abstract
The integration of e-claim data into health research ecosystems represents a pivotal advancement in leveraging big data for population health, as explored in this study of its application within the Academic Health System (AHS) in Yogyakarta, Indonesia. Drawing from global and local examples, including Taiwan's National Health Insurance claims database, we examine the potential of e-claim data in addressing healthcare disparities, informing policy, and fostering innovation. The study examines data preprocessing and governance mechanisms, emphasizing de-identification processes, data standardization, and adherence to ethical principles. We argue that effective governance frameworks are critical for sustaining and scaling the use of e-claim data. These frameworks must balance privacy with utility, integrating stakeholders from academic, clinical, and policy sectors. Finally, the paper outlines strategic pathways for broader data integration and policy alignment with Indonesia's SATUSEHAT system, envisioning a robust, sustainable health informatics ecosystem. © 2025 The Authors.
| Item Type: | Book |
|---|---|
| Additional Information: | Cited by: 0; All Open Access; Hybrid Gold Open Access |
| Uncontrolled Keywords: | Confidentiality; Humans; Indonesia; Artificial intelligence; Big data; Data assimilation; Data integration; Database systems; Ecosystems; Ethical aspects; Health insurance; Medical informatics; Sustainable development; Administrative claim database; Data governances; Health research; Health systems; Indonesia; Insurance claims; ITS applications; Learning health system; National health insurance; Population health; anonymization; big data; conference paper; data base; data integration; drug therapy; ecosystem; health care; health care disparity; human; Indonesia; information science; learning health system; medical informatics; medical research; national health insurance; population health; privacy; public health; standardization; Taiwan; confidentiality; ethics; Indonesia; Population statistics |
| Subjects: | R Medicine > RN Non Surgical Divisions |
| Divisions: | Faculty of Medicine, Public Health and Nursing > Public Health and Nutrition |
| Depositing User: | Ani PURWANDARI |
| Date Deposited: | 06 Oct 2026 00:58 |
| Last Modified: | 06 Oct 2026 00:58 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/30395 |
