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Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria
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 outp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582208/ https://www.ncbi.nlm.nih.gov/pubmed/37860063 http://dx.doi.org/10.1002/lrh2.10368 |
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author | Alper, Brian S. Dehnbostel, Joanne Shahin, Khalid Ojha, Neeraj Khanna, Gopal Tignanelli, Christopher J. |
author_facet | Alper, Brian S. Dehnbostel, Joanne Shahin, Khalid Ojha, Neeraj Khanna, Gopal Tignanelli, Christopher J. |
author_sort | Alper, Brian S. |
collection | PubMed |
description | 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 https://fevir.net/110192 provides a method for sharing functions using the same information model. |
format | Online Article Text |
id | pubmed-10582208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105822082023-10-19 Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria Alper, Brian S. Dehnbostel, Joanne Shahin, Khalid Ojha, Neeraj Khanna, Gopal Tignanelli, Christopher J. Learn Health Syst Computable Knowledge Publications 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 https://fevir.net/110192 provides a method for sharing functions using the same information model. John Wiley and Sons Inc. 2023-04-18 /pmc/articles/PMC10582208/ /pubmed/37860063 http://dx.doi.org/10.1002/lrh2.10368 Text en © 2023 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Computable Knowledge Publications Alper, Brian S. Dehnbostel, Joanne Shahin, Khalid Ojha, Neeraj Khanna, Gopal Tignanelli, Christopher J. Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title | Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title_full | Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title_fullStr | Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title_full_unstemmed | Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title_short | Striking a match between FHIR‐based patient data and FHIR‐based eligibility criteria |
title_sort | striking a match between fhir‐based patient data and fhir‐based eligibility criteria |
topic | Computable Knowledge Publications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582208/ https://www.ncbi.nlm.nih.gov/pubmed/37860063 http://dx.doi.org/10.1002/lrh2.10368 |
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