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Learning Health Systems
Article . 2023 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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PubMed Central
Other literature type . 2023
License: CC BY NC
Data sources: PubMed Central
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Learning Health Systems
Article . 2023
Data sources: DOAJ
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Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria

Authors: Brian S. Alper; Joanne Dehnbostel; Khalid Shahin; Neeraj Ojha; Gopal Khanna; Christopher J. Tignanelli;

Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria

Abstract

AbstractInputs and OutputsThe Strike‐a‐Match Function, written in JavaScript version ES6+, accepts the input of two datasets (one dataset defining eligibility criteria for research studies or clinical decision support, and one dataset defining characteristics for an individual patient). It returns an output signaling whether the patient characteristics are a match for the eligibility criteria.PurposeUltimately, such a system will play a “matchmaker” role in facilitating point‐of‐care recognition of patient‐specific clinical decision support.SpecificationsThe eligibility criteria are defined in HL7 FHIR (version R5) EvidenceVariable Resource JSON structure. The patient characteristics are provided in an FHIR Bundle Resource JSON including one Patient Resource and one or more Observation and Condition Resources which could be obtained from the patient's electronic health record.ApplicationThe Strike‐a‐Match Function determines whether or not the patient is a match to the eligibility criteria and an Eligibility Criteria Matching Software Demonstration interface provides a human‐readable display of matching results by criteria for the clinician or patient to consider. This is the first software application, serving as proof of principle, that compares patient characteristics and eligibility criteria with all data exchanged using HL7 FHIR JSON. An Eligibility Criteria Matching Software Library at https://fevir.net/110192 provides a method for sharing functions using the same information model.

Keywords

clinical phenotyping, Medicine (General), Computable Knowledge Publications, R5-920, FHIR, eligibility criteria, computable knowledge, trial matching, Public aspects of medicine, RA1-1270

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold