ArticleMedical care2026
Investigating the Use of the Fast Health Care Interoperability Resources (FHIR) Standard to Support Data Activities Across the PCORnet® Infrastructure: Lessons Learned From the FHIR Pilots of the Coordinating Center for PCORnet®.
Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- From clinics to discoveries: harnessing national EHR interoperability for research.JAMIA open · 2026Article
- PCORnet®: Accelerating Patient-Centered Comparative Clinical Effectiveness Research.Medical care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundInstitutions that participate in PCORnet® transform their local electronic health record (EHR) data into the PCORnet® Common Data Model (CDM), which is then used to generate data extracts for PCORnet® Studies. PCORnet® Studies can also include institutions that do not participate in PCORnet, and for these organizations, the cost of instantiating a PCORnet® CDM can be prohibitive. Fast Health care Interoperability Resources (FHIR) provides an alternative method of obtaining EHR data.
objectiveTo determine whether data obtained through FHIR might be a viable study solution for those sites that do not participate in PCORnet.® This mixed-methods project had 2 objectives: (1) survey sites participating in PCORnet on the availability of FHIR (FHIR survey); (2) compare the coverage of a FHIR-based data extract using REDCap with one from the PCORnet® CDM across 3 sites (FHIR extract).
methods(1) FHIR survey: A series of questions were asked about the use of FHIR in a production capacity. (2) FHIR extract: REDCap FHIR and PCORnet® CDM extracts were created based on study variables from 2 prior PCORnet® Studies. Data were extracted for 40 patients and concordance measures were computed between the 2 sources.
results(1) FHIR survey: Of responding organizations, 73% (n=49) reported that FHIR was deployed in a production capacity. (2) FHIR extract: Results were highly variable. Cohen kappa ranged from 0.01 to 0.76 for certain diagnoses, 0.24 to 0.84 for laboratory results, and 0.1 to 0.87 for medications.
conclusionsDespite differences in data, certain studies may be well-suited for FHIR-based extracts.
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Registered trials
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.