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Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries
Background Workflow automation, which involves identifying sequences of tasks that can be streamlined by using technology and modern computing, offers opportunities to address the United States health care system's challenges with quality, safety, and efficiency. Other industries have successf...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318703/ https://www.ncbi.nlm.nih.gov/pubmed/34320683 http://dx.doi.org/10.1055/s-0041-1731744 |
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author | Zayas-Cabán, Teresa Haque, Saira Naim Kemper, Nicole |
author_facet | Zayas-Cabán, Teresa Haque, Saira Naim Kemper, Nicole |
author_sort | Zayas-Cabán, Teresa |
collection | PubMed |
description | Background Workflow automation, which involves identifying sequences of tasks that can be streamlined by using technology and modern computing, offers opportunities to address the United States health care system's challenges with quality, safety, and efficiency. Other industries have successfully implemented workflow automation to address these concerns, and lessons learned from those experiences may inform its application in health care. Objective Our aim was to identify and synthesize (1) current approaches in workflow automation across industries, (2) opportunities for applying workflow automation in health care, and (3) considerations for designing and implementing workflow automation that may be relevant to health care. Methods We conducted a targeted review of peer-reviewed and gray literature on automation approaches. We identified relevant databases and terms to conduct the searches across sources and reviewed abstracts to identify 123 relevant articles across 11 disciplines. Results Workflow automation is used across industries such as finance, manufacturing, and travel to increase efficiency, productivity, and quality. We found automation ranged from low to full automation, and this variation was associated with task and technology characteristics. The level of automation is linked to how well a task is defined, whether a task is repetitive, the degree of human intervention and decision-making required, and the sophistication of available technology. We found that identifying automation goals and assessing whether those goals were reached was critical, and ongoing monitoring and improvement would help to ensure successful automation. Conclusion Use of workflow automation in other industries can inform automating health care workflows by considering the critical role of people, process, and technology in design, testing, implementation, use, and ongoing monitoring of automated workflows. Insights gained from other industries will inform an interdisciplinary effort by the Office of the National Coordinator for Health Information Technology to outline priorities for advancing health care workflow automation. |
format | Online Article Text |
id | pubmed-8318703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-83187032021-08-17 Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries Zayas-Cabán, Teresa Haque, Saira Naim Kemper, Nicole Appl Clin Inform Background Workflow automation, which involves identifying sequences of tasks that can be streamlined by using technology and modern computing, offers opportunities to address the United States health care system's challenges with quality, safety, and efficiency. Other industries have successfully implemented workflow automation to address these concerns, and lessons learned from those experiences may inform its application in health care. Objective Our aim was to identify and synthesize (1) current approaches in workflow automation across industries, (2) opportunities for applying workflow automation in health care, and (3) considerations for designing and implementing workflow automation that may be relevant to health care. Methods We conducted a targeted review of peer-reviewed and gray literature on automation approaches. We identified relevant databases and terms to conduct the searches across sources and reviewed abstracts to identify 123 relevant articles across 11 disciplines. Results Workflow automation is used across industries such as finance, manufacturing, and travel to increase efficiency, productivity, and quality. We found automation ranged from low to full automation, and this variation was associated with task and technology characteristics. The level of automation is linked to how well a task is defined, whether a task is repetitive, the degree of human intervention and decision-making required, and the sophistication of available technology. We found that identifying automation goals and assessing whether those goals were reached was critical, and ongoing monitoring and improvement would help to ensure successful automation. Conclusion Use of workflow automation in other industries can inform automating health care workflows by considering the critical role of people, process, and technology in design, testing, implementation, use, and ongoing monitoring of automated workflows. Insights gained from other industries will inform an interdisciplinary effort by the Office of the National Coordinator for Health Information Technology to outline priorities for advancing health care workflow automation. Georg Thieme Verlag KG 2021-05 2021-07-28 /pmc/articles/PMC8318703/ /pubmed/34320683 http://dx.doi.org/10.1055/s-0041-1731744 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Zayas-Cabán, Teresa Haque, Saira Naim Kemper, Nicole Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title | Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title_full | Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title_fullStr | Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title_full_unstemmed | Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title_short | Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries |
title_sort | identifying opportunities for workflow automation in health care: lessons learned from other industries |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318703/ https://www.ncbi.nlm.nih.gov/pubmed/34320683 http://dx.doi.org/10.1055/s-0041-1731744 |
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