Evidence map›Paper›PMID 41495243›Full record

ArticleScientific reports2026

Development of a FHIR-based Korean IPS Data Pipeline and User-Centered UI Design.

Byeonggu Kim, Jisan Lee

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Byeonggu KimDepartment of Nursing, Gangneung-Wonju National University, 150 Namwon-ro, Heungeop-myeon, Wonju, Gangwon State, Republic of Korea. kbg04405@gmail.com.
Jisan LeeDepartment of Nursing, Gangneung-Wonju National University, 150 Namwon-ro, Heungeop-myeon, Wonju, Gangwon State, Republic of Korea. saan2mari@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International Patient Summary (IPS) is a minimal data standard enabling rapid access to essential health information across institutions and borders. Korea provides Fast Healthcare Interoperability Resources (FHIR) data through the "My Health Record" application, which utilizes an implementation guide (IG) inheriting from the KR Core FHIR profiles.  However, a standardized workflow for transforming these domestic FHIR resources into IPS-compliant data has not yet been established. This study aimed to assess the feasibility of implementing an IPS-compliant patient summary in Korea using existing FHIR-based resources and national profiles. First, a literature review confirmed IPS as a global standard supporting interoperability and patient-centered care. Second, a gap analysis revealed that six of the seven IPS-required and recommended components successfully mapped to ten KR Core profiles. However, the Device component and the MedicationStatement profile remained unmapped due to the lack of corresponding definitions in the KR Core. Third, real-world FHIR data from three individuals were transformed using ChatGPT-4o into IPS-compatible formats and validated via HAPI FHIR and SMART FRED tools. Fourth, user requirements were identified through personas and expert consultations, highlighting the need for summary and timeline-based UI elements. Fifth, a user interface was developed using Figma based on these requirements.Overall, approximately 86% of required IPS data elements were represented using existing Korean FHIR-based resources. These findings demonstrate the technical feasibility of IPS implementation in Korea, while also highlighting current gaps in terminology coverage and profile alignment. Future work should focus on multi-site validation, increased automation of mapping processes, and governance frameworks to support scalable and reproducible IPS deployment.

Indexed as

Electronic Health RecordsHealth Information InteroperabilityHumansPatient-Centered CareRepublic of KoreaUser-Computer InterfaceData analysisDigital healthHealth information interoperabilityUser-Centered design

Identifiers

PMID41495243
PMCPMC12835024

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.