BMC Medical Informatics and Decision Making (Nov 2021)

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

  • Scott Laing,
  • Jay Mercer

DOI
https://doi.org/10.1186/s12911-021-01675-8
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 8

Abstract

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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 0.05). 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.

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