Evidence map›Paper›PMID 40104375›Full record

ArticleJournal of education and health promotion2025

Establishing core data elements for colorectal cancer and mapping to FHIR resources: Towards interoperable Iranian health information systems.

Raoof Nopour, Somayeh Nasiri, Maryam Ahmadi, Mohammad Shirkhoda

Abstract read
In one paragraph

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.

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

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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.

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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

4 authors.

Raoof NopourDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Somayeh NasiriDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Maryam AhmadiDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mohammad ShirkhodaCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Colorectal neoplasmscommon data elementshealth information interoperabilityreference standardssystems integration

Identifiers

PMID40104375
PMCPMC11913200

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