ArticleJournal of education and health promotion2025
Establishing core data elements for colorectal cancer and mapping to FHIR resources: Towards interoperable Iranian health information systems.
Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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.
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Who cites it
1 citing paper in PubMed.
- Establishing Artificial Intelligence-Powered Virtual Tumor Board Meetings in Pakistan.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) has a high prevalence, threatening public health. Despite the high prevalence, there has not been a proper solution to standardize the data in this domain in Iran. Therefore, this study aims to provide a new approach to standardizing CRC data using Fast Healthcare Interoperability Resources (FHIR). MATERIAL AND
methodsThis study was conducted in five phases. First, a literature review was performed to gain the CRC core data elements based on the scientific databases and thematic websites. Second, we developed a researcher-made questionnaire with a five-choice Likert scale to gain the most important core data elements based on the opinions of specialists. Third, we leveraged the Delphi method to score these elements and develop the minimum data set (MDS) for CRC. Fourth, we used the terminologies to better perceive the concepts and thematic classification of core data elements. Fifth, we leveraged the FHIR to map the CRC core data elements to resources and standardize them.
resultsTen CRC data categories of classes were obtained from the literature review and Delphi, including administrative, diagnosis, therapeutic procedure, follow-up, patient referral, vital status, drug, clinical assessment, signs and symptoms, and history of conditions. The obtained resources were patient, care team, condition, family member history, medication request, adverse event, schedule, procedure, location, observation, diagnostic report, specimen, molecular sequence, genomic study, and service request.
conclusionThis study showed the FHIR-based standardization of the CRC data as an approach for integrating health institutions to facilitate clinical decision-making and secondary use of healthcare data.
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