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Pediatric Consent on FHIR

  • Anton Voronov
  • , Mohammad Jafari
  • , Lin Zhao
  • , Melissa Soliz
  • , Qixuan Hong
  • , John Pope
  • , Darwyn Chern
  • , Megan Lipman
  • , Adela Grando

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Standardizing and formalizing consent processes and forms can prevent ambiguities, convey a more precise meaning, and support machine interpretation of consent terms. Objectives: Our goal was to introduce a systematic approach to standardizing and digitizing pediatric consent forms, which are complex due to legal requirements for child and legal guardian involvement. Methods: First, we reviewed the consent requirements from the Arizona regulation, and we used 21 pediatric treatment consents from five Arizona health care organizations to propose and evaluate an implementation-agnostic Consent for Treatment Framework. Second, we assessed the adequacy of the Fast Healthcare Interoperability Resources (FHIR) to support the proposed framework. Results: The resulting Consent for Treatment Framework supports compliance with the state consent requirements and has been validated with pediatric consent forms. We also demonstrated that the FHIR standard has the required expressiveness to compute the framework's specifications and express the 21 consent forms. Conclusion: Health care organizations can apply the shared open-source code and FHIR implementation guidelines to standardize the design of machine-interpretable pediatric treatment consent forms. The resulting FHIR-based executable models may support compliance with the law and support interoperability and data sharing.

Original languageEnglish (US)
Pages (from-to)342-356
Number of pages15
JournalApplied Clinical Informatics
Volume15
Issue number2
DOIs
StatePublished - May 8 2024

Keywords

  • FHIR
  • HL7
  • consent
  • pediatrics
  • privacy

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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