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

Brian S. Alper, Joanne Dehnbostel, Khalid Shahin, Neeraj Ojha, Gopal Khanna, Christopher J. Tignanelli

Research output: Contribution to journalArticlepeer-review


Inputs and Outputs: The 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. Purpose: Ultimately, such a system will play a “matchmaker” role in facilitating point-of-care recognition of patient-specific clinical decision support. Specifications: The 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. Application: The 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 provides a method for sharing functions using the same information model.

Original languageEnglish (US)
Article numbere10368
JournalLearning Health Systems
Issue number4
StatePublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.


  • FHIR
  • clinical phenotyping
  • computable knowledge
  • eligibility criteria
  • trial matching

PubMed: MeSH publication types

  • Journal Article


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