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Standardizing patient consent forms and answers using HL7 FHIR resources enables automated verification. This research explores methods like Extensions and CDS Hooks for efficient data capture in healthcare research.

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Area of Science:

  • Health Informatics
  • Clinical Research Administration

Background:

  • Informed consent is crucial for healthcare research, but managing consent forms and data incurs significant administrative overhead.
  • Standardizing the capture of patient consent information is essential for streamlining research processes and ensuring data integrity.

Purpose of the Study:

  • To demonstrate a standardized, structured method for capturing patient consent forms and their answers.
  • To enable automated verification of informed consent data within research studies.

Main Methods:

  • Exploration of HL7 FHIR (Health Level Seven Fast Healthcare Interoperability Resources) resources, specifically Questionnaire and QuestionnaireResponse.
  • Evaluation of implementation options including Extensions, POST Interceptors, FHIR Operations, and CDS Hooks for data capture.
  • Assessment of standard compliance and integration capabilities for each described approach.

Main Results:

  • All discussed approaches (Extensions, POST Interceptors, FHIR Operations, CDS Hooks) offer distinct advantages and disadvantages for capturing consent data.
  • The suitability of each method is dependent on the specific requirements and context of the healthcare research use case.

Conclusions:

  • Standardized, structured capture of patient consent data using HL7 FHIR resources facilitates automated verification.
  • The selection of the optimal implementation strategy requires careful consideration of the specific use case, balancing benefits and drawbacks.