FHIR Data Mapping Quality Assessment: A Scoping Review and Expert-Informed Requirements for Future Pre-Mapping Frameworks.
7 affiliations
- 1Department of Electrical Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
- 2PreHospen-Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden.
- 3Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
- 4Center for Digital Health, Sahlgrenska University Hospital, Gothenburg,Region Västra Götaland, Sweden.
- 5Department of Thoracic Surgery and Cardiology, Sahlgrenska University Hospital, Gothenburg,Region Västra Götaland, Sweden.
- 6Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- 7Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Abstract
Background: Healthcare systems increasingly rely on effective data sharing to support safe and efficient care. The fast healthcare interoperability resources (FHIR) standard provides a widely adopted framework for interoperability. However, many existing healthcare information systems predate FHIR and require translation or mapping of their data models and data elements to the FHIR standard to enable interoperability. Despite growing FHIR adoption, robust approaches for assessing mapping quality remain limited. Objective: This scoping review aimed to identify and synthesize existing tools and approaches for evaluating FHIR data mapping quality, examine methodological challenges and gaps, and formulate and refine requirements for more consistent and transparent assessment. Methods: A scoping review was conducted across IEEE Xplore, ACM Digital Library, PubMed, and the JMIR journal family. Studies were screened using predefined eligibility criteria and analyzed through thematic synthesis focusing on mapping tools, validation approaches, challenges, and quality assessment dimensions. FHIR mapping quality was conceptualized using 7 quality dimensions adapted from data quality literature. Candidate framework requirements were formulated and refined through expert consultation (n = 4). Results: A total of 742 studies were screened and 39 included. The literature revealed fragmented practices with limited consensus on FHIR mapping quality assessment. Most studies relied on manual evaluation of the transformed data, while few considered source-to-target relationships before transformation. Six requirements for future pre-mapping quality assessment frameworks were formulated and refined. Conclusions: Current FHIR mapping quality assessment approaches remain fragmented and largely rely on manual evaluation. The findings highlight the need for more transparent and formalized pre-mapping assessment approaches to support future FHIR implementations.
Related
- Systematic assessment of sequencing depth requirements for Hi-C-derived metrics
- A protective hybrid protein vaccine informed by mapping major histocompatibility class II epitopes in Cryptococcus neoformans chitin deacetylases that stimulate CD4 ⁺ T-cell responses
- Influence of cargo size on Ran and energy requirements for nuclear protein import
- Ubiquitin isopeptidase and esterase activities have distinct catalytic requirements
- Interfacial Solvent Engineering of Zinc Porphyrin Hydrogen-Bonded Organic Frameworks Enables Aggregation-Enhanced Electrochemiluminescence for Synthetic Cannabinoid Sensing
BibTeX
@article{seth2026fhir,
title = {{FHIR Data Mapping Quality Assessment: A Scoping Review and Expert-Informed Requirements for Future Pre-Mapping Frameworks.}},
author = {Mattias Seth and Fanny Apelgren and Anna Bakidou and Peter Lundgren and Hans Blomberg and Bengt Arne Sjöqvist and Stefan Candefjord},
journal = {Computational and structural biotechnology journal},
year = {2026},
month = oct,
doi = {10.34133/csbj.0231},
url = {https://europepmc.org/article/MED/42923490},
note = {CC BY},
}
RIS
TY - JOUR
TI - FHIR Data Mapping Quality Assessment: A Scoping Review and Expert-Informed Requirements for Future Pre-Mapping Frameworks.
AU - Mattias Seth
AU - Fanny Apelgren
AU - Anna Bakidou
AU - Peter Lundgren
AU - Hans Blomberg
AU - Bengt Arne Sjöqvist
AU - Stefan Candefjord
PY - 2026
DA - 2026/10/22
JO - Computational and structural biotechnology journal
DO - 10.34133/csbj.0231
UR - https://europepmc.org/article/MED/42923490
AB - Background: Healthcare systems increasingly rely on effective data sharing to support safe and efficient care. The fast healthcare interoperability resources (FHIR) standard provides a widely adopted framework for interoperability. However, many existing healthcare information systems predate FHIR and require translation or mapping of their data models and data elements to the FHIR standard to enable interoperability. Despite growing FHIR adoption, robust approaches for assessing mapping quality remain limited. Objective: This scoping review aimed to identify and synthesize existing tools and approaches for evaluating FHIR data mapping quality, examine methodological challenges and gaps, and formulate and refine requirements for more consistent and transparent assessment. Methods: A scoping review was conducted across IEEE Xplore, ACM Digital Library, PubMed, and the JMIR journal family. Studies were screened using predefined eligibility criteria and analyzed through thematic synthesis focusing on mapping tools, validation approaches, challenges, and quality assessment dimensions. FHIR mapping quality was conceptualized using 7 quality dimensions adapted from data quality literature. Candidate framework requirements were formulated and refined through expert consultation (n = 4). Results: A total of 742 studies were screened and 39 included. The literature revealed fragmented practices with limited consensus on FHIR mapping quality assessment. Most studies relied on manual evaluation of the transformed data, while few considered source-to-target relationships before transformation. Six requirements for future pre-mapping quality assessment frameworks were formulated and refined. Conclusions: Current FHIR mapping quality assessment approaches remain fragmented and largely rely on manual evaluation. The findings highlight the need for more transparent and formalized pre-mapping assessment approaches to support future FHIR implementations.
SN - 2001-0370
ER -