@inproceedings{7c9e1ad530da4dcdb443ee4c0eae56d1,
title = "FAIR Principles for Clinical Practice Guidelines in a Learning Health System",
abstract = "The learning health system depends on a cycle of evidence generation, translation to practice, and continuous practice-based data collection. Clinical practice guidelines (CPGs) represent medical evidence, translated into recommendations on appropriate clinical care. The FAIR guiding principles offer a framework for publishing the extensive knowledge work of CPGs and their resources. In this narrative literature review, we propose that FAIR CPGs would lead to more efficient production and dissemination of CPG knowledge to practice.",
keywords = "Data Accuracy, Government Programs, Health Information Systems, Practice Guidelines as Topic, Guidelines as Topic, Delivery of Health Care, Medical Informatics Applications",
author = "Leung, {Tiffany I} and Michel Dumontier",
year = "2019",
month = aug,
day = "21",
doi = "10.3233/SHTI190599",
language = "English",
isbn = "978-1-64368-002-6",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1690--1691",
editor = "Lucila Ohno-Machado and Brigitte S{\'e}roussi",
booktitle = "MEDINFO 2019: Health and Wellbeing e-Networks for All",
address = "Netherlands",
}