Computable Consent – From Regulatory, Legislative, and Organizational Policies to Security Policies-Reference-Cited by-同舟云学术

Computable Consent – From Regulatory, Legislative, and Organizational Policies to Security Policies

Published:2022 Issue: Volume: Page:3-18
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Milosevic Zoran^ORCID,Pyefinch Frank

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17604-3_1

Reference19 articles.

1. Health Level Seven (HL7®) Fast Health Interoperability Framework (FHIR®). https://build.fhir.org/index.html. Accessed 08 Aug 2022

2. Linington, P., Milosevic, Z. Tanaka, A., Vallecillo, A.: Building Enterprise Systems with ODP, An Introduction to Open Distributed Processing. Chapman Hall/CRC Press (2011)

3. Haas, M.A., Teare, H., Prictor, M., et al.: ‘CTRL’: an online, dynamic consent and participant engagement platform working towards solving the complexities of consent in genomic research. Eur. J. Hum. Genet. 29, 687–698 (2021)

4. Scalable Consent Framework for the Advancement of Interoperability with FHIR-based APIs. https://www.healthit.gov/topic/2019-leap-health-it-projects#Scalable. Accessed 08 Aug 2022

5. HL7 International, Services Functional Model: Consent Management Service, Release 1, January 2021, HL7 STU Ballot

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