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An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines

Clinical practice guidelines (CPGs) support individual and population health by translating new, evidence-based knowledge into recommendations for health practice. CPGs can be provided as computable, machine-readable guidelines that support the translation of recommendations into shareable, interope...

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Autores principales: Tailor, Amrita, Robinson, Susan J., Matson-Koffman, Dyann M., Michaels, Maria, Burton, Matthew M., Lubin, Ira M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476596/
https://www.ncbi.nlm.nih.gov/pubmed/37668272
http://dx.doi.org/10.1097/JMQ.0000000000000140
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author Tailor, Amrita
Robinson, Susan J.
Matson-Koffman, Dyann M.
Michaels, Maria
Burton, Matthew M.
Lubin, Ira M.
author_facet Tailor, Amrita
Robinson, Susan J.
Matson-Koffman, Dyann M.
Michaels, Maria
Burton, Matthew M.
Lubin, Ira M.
author_sort Tailor, Amrita
collection PubMed
description Clinical practice guidelines (CPGs) support individual and population health by translating new, evidence-based knowledge into recommendations for health practice. CPGs can be provided as computable, machine-readable guidelines that support the translation of recommendations into shareable, interoperable clinical decision support and other digital tools (eg, quality measures, case reports, care plans). Interdisciplinary collaboration among guideline developers and health information technology experts can facilitate the translation of written guidelines into computable ones. The benefits of interdisciplinary work include a focus on the needs of end-users who apply guidelines in practice through clinic decision support systems as part of the Centers for Disease Control and Prevention’s (CDC’s) Adapting Clinical Guidelines for the Digital Age (ACG) initiative, a group of interdisciplinary experts proposed a process to facilitate the codevelopment of written and computable CPGs, referred to as the “integrated process (IP).”(1) This paper presents a framework for evaluating the IP based on a combination of vetted evaluation models and expert opinions. This framework combines 3 types of evaluations: process, product, and outcomes. These evaluations assess the value of interdisciplinary expert collaboration in carrying out the IP, the quality, usefulness, timeliness, and acceptance of the guideline, and the guideline’s health impact, respectively. A case study is presented that illustrates application of the framework.
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spelling pubmed-104765962023-09-05 An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines Tailor, Amrita Robinson, Susan J. Matson-Koffman, Dyann M. Michaels, Maria Burton, Matthew M. Lubin, Ira M. Am J Med Qual Adapting Clinical Guidelines for the Digital Age Clinical practice guidelines (CPGs) support individual and population health by translating new, evidence-based knowledge into recommendations for health practice. CPGs can be provided as computable, machine-readable guidelines that support the translation of recommendations into shareable, interoperable clinical decision support and other digital tools (eg, quality measures, case reports, care plans). Interdisciplinary collaboration among guideline developers and health information technology experts can facilitate the translation of written guidelines into computable ones. The benefits of interdisciplinary work include a focus on the needs of end-users who apply guidelines in practice through clinic decision support systems as part of the Centers for Disease Control and Prevention’s (CDC’s) Adapting Clinical Guidelines for the Digital Age (ACG) initiative, a group of interdisciplinary experts proposed a process to facilitate the codevelopment of written and computable CPGs, referred to as the “integrated process (IP).”(1) This paper presents a framework for evaluating the IP based on a combination of vetted evaluation models and expert opinions. This framework combines 3 types of evaluations: process, product, and outcomes. These evaluations assess the value of interdisciplinary expert collaboration in carrying out the IP, the quality, usefulness, timeliness, and acceptance of the guideline, and the guideline’s health impact, respectively. A case study is presented that illustrates application of the framework. Lippincott Williams & Wilkins 2023-09-05 2023 /pmc/articles/PMC10476596/ /pubmed/37668272 http://dx.doi.org/10.1097/JMQ.0000000000000140 Text en © The Authors 2023. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Adapting Clinical Guidelines for the Digital Age
Tailor, Amrita
Robinson, Susan J.
Matson-Koffman, Dyann M.
Michaels, Maria
Burton, Matthew M.
Lubin, Ira M.
An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title_full An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title_fullStr An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title_full_unstemmed An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title_short An Evaluation Framework for a Novel Process to Codevelop Written and Computable Guidelines
title_sort evaluation framework for a novel process to codevelop written and computable guidelines
topic Adapting Clinical Guidelines for the Digital Age
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476596/
https://www.ncbi.nlm.nih.gov/pubmed/37668272
http://dx.doi.org/10.1097/JMQ.0000000000000140
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