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Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study
eHealth apps often fail to improve clinical outcomes due to poor integration with clinical workflow—the sequence and personnel needed to undertake a series of tasks for clinical care. Our central thesis is that eHealth interventions will be more effective if the clinical workflow is studied and take...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047797/ https://www.ncbi.nlm.nih.gov/pubmed/33626016 http://dx.doi.org/10.2196/18534 |
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author | Staras, Stephanie Tauscher, Justin S Rich, Natalie Samarah, Esaa Thompson, Lindsay A Vinson, Michelle M Muszynski, Michael J Shenkman, Elizabeth A |
author_facet | Staras, Stephanie Tauscher, Justin S Rich, Natalie Samarah, Esaa Thompson, Lindsay A Vinson, Michelle M Muszynski, Michael J Shenkman, Elizabeth A |
author_sort | Staras, Stephanie |
collection | PubMed |
description | eHealth apps often fail to improve clinical outcomes due to poor integration with clinical workflow—the sequence and personnel needed to undertake a series of tasks for clinical care. Our central thesis is that eHealth interventions will be more effective if the clinical workflow is studied and taken into consideration for intervention implementation. This paper aims to provide an introductory tutorial on when and how to use a clinical workflow analysis to guide the implementation of eHealth interventions. The tutorial includes a step-by-step guide to conducting a clinical workflow analysis in planning for eHealth implementation. We began with a description of why a clinical workflow analysis is best completed before the implementation of eHealth interventions. Next, we described 4 steps needed to perform the clinical workflow analysis: the identification of discrete workflow components, workflow assessment, triangulation, and the stakeholder proposal of intervention implementation. Finally, we presented a case study of a clinical workflow analysis, which was conducted during patient visits of patients aged 11 or 12 years from 4 diverse pediatric or family medicine clinics to plan the implementation of a tablet-based app for adolescent vaccination. Investigators planning the implementation of new eHealth interventions in health care settings can use the presented steps to assess clinical workflow, thereby maximizing the match of their intervention with the clinical workflow. Conducting a prospective workflow study allows for evidence-based planning, identifying potential pitfalls, and increasing stakeholder buy-in and engagement. This tutorial should aid investigators in increasing the successful implementation of eHealth interventions. |
format | Online Article Text |
id | pubmed-8047797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80477972021-04-22 Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study Staras, Stephanie Tauscher, Justin S Rich, Natalie Samarah, Esaa Thompson, Lindsay A Vinson, Michelle M Muszynski, Michael J Shenkman, Elizabeth A JMIR Mhealth Uhealth Tutorial eHealth apps often fail to improve clinical outcomes due to poor integration with clinical workflow—the sequence and personnel needed to undertake a series of tasks for clinical care. Our central thesis is that eHealth interventions will be more effective if the clinical workflow is studied and taken into consideration for intervention implementation. This paper aims to provide an introductory tutorial on when and how to use a clinical workflow analysis to guide the implementation of eHealth interventions. The tutorial includes a step-by-step guide to conducting a clinical workflow analysis in planning for eHealth implementation. We began with a description of why a clinical workflow analysis is best completed before the implementation of eHealth interventions. Next, we described 4 steps needed to perform the clinical workflow analysis: the identification of discrete workflow components, workflow assessment, triangulation, and the stakeholder proposal of intervention implementation. Finally, we presented a case study of a clinical workflow analysis, which was conducted during patient visits of patients aged 11 or 12 years from 4 diverse pediatric or family medicine clinics to plan the implementation of a tablet-based app for adolescent vaccination. Investigators planning the implementation of new eHealth interventions in health care settings can use the presented steps to assess clinical workflow, thereby maximizing the match of their intervention with the clinical workflow. Conducting a prospective workflow study allows for evidence-based planning, identifying potential pitfalls, and increasing stakeholder buy-in and engagement. This tutorial should aid investigators in increasing the successful implementation of eHealth interventions. JMIR Publications 2021-03-31 /pmc/articles/PMC8047797/ /pubmed/33626016 http://dx.doi.org/10.2196/18534 Text en ©Stephanie Staras, Justin S Tauscher, Natalie Rich, Esaa Samarah, Lindsay A Thompson, Michelle M Vinson, Michael J Muszynski, Elizabeth A Shenkman. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 31.03.2021. 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 JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Tutorial Staras, Stephanie Tauscher, Justin S Rich, Natalie Samarah, Esaa Thompson, Lindsay A Vinson, Michelle M Muszynski, Michael J Shenkman, Elizabeth A Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title | Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title_full | Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title_fullStr | Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title_full_unstemmed | Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title_short | Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study |
title_sort | using a clinical workflow analysis to enhance ehealth implementation planning: tutorial and case study |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047797/ https://www.ncbi.nlm.nih.gov/pubmed/33626016 http://dx.doi.org/10.2196/18534 |
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