학술논문
Pediatric Consent on FHIR.
Document Type
Academic Journal
Author
Voronov A; College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.; Jafari M; College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.; Zhao L; HonorHealth, Phoenix, Arizona, United States.; Soliz M; Coppersmith Brockelman PLC, Phoenix, Arizona, United States.; Hong Q; Ira A Fulton School of Engineering, Arizona State University, Phoenix, Arizona, United States.; Pope J; HonorHealth, Phoenix, Arizona, United States.; Chern D; Copa Health, Phoenix, Arizona, United States.; Lipman M; Jewish Family and Children's Services, Phoenix, Arizona, United States.; Grando A; College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.
Source
Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE
Subject
Language
English
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.
Competing Interests: None declared.
(Thieme. All rights reserved.)
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.
Competing Interests: None declared.
(Thieme. All rights reserved.)