Cargando…

Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach

BACKGROUND: Clinical decision support (CDS) design best practices are intended to provide a narrative representation of factors that influence the success of CDS tools. However, they provide incomplete direction on evidence-based implementation principles. OBJECTIVE: This study aims to describe an i...

Descripción completa

Detalles Bibliográficos
Autores principales: Trinkley, Katy E, Kahn, Michael G, Bennett, Tellen D, Glasgow, Russell E, Haugen, Heather, Kao, David P, Kroehl, Miranda E, Lin, Chen-Tan, Malone, Daniel C, Matlock, Daniel D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661234/
https://www.ncbi.nlm.nih.gov/pubmed/33118943
http://dx.doi.org/10.2196/19676
_version_ 1783609171135954944
author Trinkley, Katy E
Kahn, Michael G
Bennett, Tellen D
Glasgow, Russell E
Haugen, Heather
Kao, David P
Kroehl, Miranda E
Lin, Chen-Tan
Malone, Daniel C
Matlock, Daniel D
author_facet Trinkley, Katy E
Kahn, Michael G
Bennett, Tellen D
Glasgow, Russell E
Haugen, Heather
Kao, David P
Kroehl, Miranda E
Lin, Chen-Tan
Malone, Daniel C
Matlock, Daniel D
author_sort Trinkley, Katy E
collection PubMed
description BACKGROUND: Clinical decision support (CDS) design best practices are intended to provide a narrative representation of factors that influence the success of CDS tools. However, they provide incomplete direction on evidence-based implementation principles. OBJECTIVE: This study aims to describe an integrated approach toward applying an existing implementation science (IS) framework with CDS design best practices to improve the effectiveness, sustainability, and reproducibility of CDS implementations. METHODS: We selected the Practical Robust Implementation and Sustainability Model (PRISM) IS framework. We identified areas where PRISM and CDS design best practices complemented each other and defined methods to address each. Lessons learned from applying these methods were then used to further refine the integrated approach. RESULTS: Our integrated approach to applying PRISM with CDS design best practices consists of 5 key phases that iteratively interact and inform each other: multilevel stakeholder engagement, designing the CDS, design and usability testing, thoughtful deployment, and performance evaluation and maintenance. The approach is led by a dedicated implementation team that includes clinical informatics and analyst builder expertise. CONCLUSIONS: Integrating PRISM with CDS design best practices extends user-centered design and accounts for the multilevel, interacting, and dynamic factors that influence CDS implementation in health care. Integrating PRISM with CDS design best practices synthesizes the many known contextual factors that can influence the success of CDS tools, thereby enhancing the reproducibility and sustainability of CDS implementations. Others can adapt this approach to their situation to maximize and sustain CDS implementation success.
format Online
Article
Text
id pubmed-7661234
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-76612342020-11-19 Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach Trinkley, Katy E Kahn, Michael G Bennett, Tellen D Glasgow, Russell E Haugen, Heather Kao, David P Kroehl, Miranda E Lin, Chen-Tan Malone, Daniel C Matlock, Daniel D J Med Internet Res Original Paper BACKGROUND: Clinical decision support (CDS) design best practices are intended to provide a narrative representation of factors that influence the success of CDS tools. However, they provide incomplete direction on evidence-based implementation principles. OBJECTIVE: This study aims to describe an integrated approach toward applying an existing implementation science (IS) framework with CDS design best practices to improve the effectiveness, sustainability, and reproducibility of CDS implementations. METHODS: We selected the Practical Robust Implementation and Sustainability Model (PRISM) IS framework. We identified areas where PRISM and CDS design best practices complemented each other and defined methods to address each. Lessons learned from applying these methods were then used to further refine the integrated approach. RESULTS: Our integrated approach to applying PRISM with CDS design best practices consists of 5 key phases that iteratively interact and inform each other: multilevel stakeholder engagement, designing the CDS, design and usability testing, thoughtful deployment, and performance evaluation and maintenance. The approach is led by a dedicated implementation team that includes clinical informatics and analyst builder expertise. CONCLUSIONS: Integrating PRISM with CDS design best practices extends user-centered design and accounts for the multilevel, interacting, and dynamic factors that influence CDS implementation in health care. Integrating PRISM with CDS design best practices synthesizes the many known contextual factors that can influence the success of CDS tools, thereby enhancing the reproducibility and sustainability of CDS implementations. Others can adapt this approach to their situation to maximize and sustain CDS implementation success. JMIR Publications 2020-10-29 /pmc/articles/PMC7661234/ /pubmed/33118943 http://dx.doi.org/10.2196/19676 Text en ©Katy E Trinkley, Michael G Kahn, Tellen D Bennett, Russell E Glasgow, Heather Haugen, David P Kao, Miranda E Kroehl, Chen-Tan Lin, Daniel C Malone, Daniel D Matlock. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.10.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Trinkley, Katy E
Kahn, Michael G
Bennett, Tellen D
Glasgow, Russell E
Haugen, Heather
Kao, David P
Kroehl, Miranda E
Lin, Chen-Tan
Malone, Daniel C
Matlock, Daniel D
Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title_full Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title_fullStr Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title_full_unstemmed Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title_short Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach
title_sort integrating the practical robust implementation and sustainability model with best practices in clinical decision support design: implementation science approach
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661234/
https://www.ncbi.nlm.nih.gov/pubmed/33118943
http://dx.doi.org/10.2196/19676
work_keys_str_mv AT trinkleykatye integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT kahnmichaelg integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT bennetttellend integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT glasgowrusselle integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT haugenheather integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT kaodavidp integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT kroehlmirandae integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT linchentan integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT malonedanielc integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach
AT matlockdanield integratingthepracticalrobustimplementationandsustainabilitymodelwithbestpracticesinclinicaldecisionsupportdesignimplementationscienceapproach