Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system

Abstract Background Electronic medical records are widely used in family practices across Canada and can improve health outcomes. However, recent reports indicate that physicians using electronic medical records work longer and have less direct patient contact which may contribute to burnout. Theref...

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Autores principales:	Scott Laing, Jay Mercer
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Clinical-decision support Preventive care Quality improvement Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/e48119a6b6594d9d9c7a04d6749ac8eb
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spelling	oai:doaj.org-article:e48119a6b6594d9d9c7a04d6749ac8eb2021-11-14T12:29:16ZImproved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system10.1186/s12911-021-01675-81472-6947https://doaj.org/article/e48119a6b6594d9d9c7a04d6749ac8eb2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12911-021-01675-8https://doaj.org/toc/1472-6947Abstract Background Electronic medical records are widely used in family practices across Canada and can improve health outcomes. However, recent reports indicate that physicians using electronic medical records work longer and have less direct patient contact which may contribute to burnout. Therefore, new and innovative digital tools are essential to reduce physician workloads and improve patient-physician interaction to address physician burnout. The objective of this study was to assess the efficiency and accuracy of clinical decision-making when using a new preventive care point-of-care clinical decision support system (CDSS). An estimate of the potential annual time savings was also determined. This study also assessed physician reported perceived usefulness and ease of use of the CDSS. Methods Quantitative and qualitative data were collected during this study. Each participant evaluated two simulated patient charts and identified which preventive care metrics were due. The participants recorded their decisions and the time required to assess each chart. Participants then completed a Technology Acceptance Model survey regarding the perceived usefulness and ease of use of the CDSS, which included qualitative feedback. The amount of time saved was determined and participants’ clinical decision-making accuracy was scored against current Canadian preventive care guidelines. The number of preventive care specific visits completed per year was determined using clinic billing data. Results The preventive care CDSS saved an average of 195.7 s of chart review time (249.5 s vs 445.2 s; P < 0.001). A total of 1520 preventive visits were performed at Primrose and Bruyère Family Medicine Centres. Extrapolated across the organization, implementation of the new tool could save 82.6 h per year. Decision-making accuracy was not affected by the new tool (78.4% vs 80.9%, P > 0.05). Participants rated the perceived ease of use and usefulness to be very high. Conclusions New digital tools may reduce providers’ workload without impacting clinical decision-making accuracy. Participants indicated that the preventive care CDSS was useful and easy to use. Further software development and clinical studies are required to further improve and characterize the effect this new CDSS has when implemented in clinical practice.Scott LaingJay MercerBMCarticleClinical-decision supportPreventive careQuality improvementComputer applications to medicine. Medical informaticsR858-859.7ENBMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Clinical-decision support Preventive care Quality improvement Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Clinical-decision support Preventive care Quality improvement Computer applications to medicine. Medical informatics R858-859.7 Scott Laing Jay Mercer Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
description	Abstract Background Electronic medical records are widely used in family practices across Canada and can improve health outcomes. However, recent reports indicate that physicians using electronic medical records work longer and have less direct patient contact which may contribute to burnout. Therefore, new and innovative digital tools are essential to reduce physician workloads and improve patient-physician interaction to address physician burnout. The objective of this study was to assess the efficiency and accuracy of clinical decision-making when using a new preventive care point-of-care clinical decision support system (CDSS). An estimate of the potential annual time savings was also determined. This study also assessed physician reported perceived usefulness and ease of use of the CDSS. Methods Quantitative and qualitative data were collected during this study. Each participant evaluated two simulated patient charts and identified which preventive care metrics were due. The participants recorded their decisions and the time required to assess each chart. Participants then completed a Technology Acceptance Model survey regarding the perceived usefulness and ease of use of the CDSS, which included qualitative feedback. The amount of time saved was determined and participants’ clinical decision-making accuracy was scored against current Canadian preventive care guidelines. The number of preventive care specific visits completed per year was determined using clinic billing data. Results The preventive care CDSS saved an average of 195.7 s of chart review time (249.5 s vs 445.2 s; P < 0.001). A total of 1520 preventive visits were performed at Primrose and Bruyère Family Medicine Centres. Extrapolated across the organization, implementation of the new tool could save 82.6 h per year. Decision-making accuracy was not affected by the new tool (78.4% vs 80.9%, P > 0.05). Participants rated the perceived ease of use and usefulness to be very high. Conclusions New digital tools may reduce providers’ workload without impacting clinical decision-making accuracy. Participants indicated that the preventive care CDSS was useful and easy to use. Further software development and clinical studies are required to further improve and characterize the effect this new CDSS has when implemented in clinical practice.
format	article
author	Scott Laing Jay Mercer
author_facet	Scott Laing Jay Mercer
author_sort	Scott Laing
title	Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
title_short	Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
title_full	Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
title_fullStr	Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
title_full_unstemmed	Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
title_sort	improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
publisher	BMC
publishDate	2021
url	https://doaj.org/article/e48119a6b6594d9d9c7a04d6749ac8eb
work_keys_str_mv	AT scottlaing improvedpreventivecareclinicaldecisionmakingefficiencyleveragingapointofcareclinicaldecisionsupportsystem AT jaymercer improvedpreventivecareclinicaldecisionmakingefficiencyleveragingapointofcareclinicaldecisionsupportsystem
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Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system

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