Usability of a perioperative medication-related clinical decision support software application : a randomized controlled trial
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissionsoup.com..
OBJECTIVE: We developed a comprehensive, medication-related clinical decision support (CDS) software prototype for use in the operating room. The purpose of this study was to compare the usability of the CDS software to the current standard electronic health record (EHR) medication administration and documentation workflow.
MATERIALS AND METHODS: The primary outcome was the time taken to complete all simulation tasks. Secondary outcomes were the total number of mouse clicks and the total distance traveled on the screen in pixels. Forty participants were randomized and assigned to complete 7 simulation tasks in 1 of 2 groups: (1) the CDS group (n = 20), who completed tasks using the CDS and (2) the Control group (n = 20), who completed tasks using the standard medication workflow with retrospective manual documentation in our anesthesia information management system. Blinding was not possible. We video- and audio-recorded the participants to capture quantitative data (time on task, mouse clicks, and pixels traveled on the screen) and qualitative data (think-aloud verbalization).
RESULTS: The CDS group mean total task time (402.2 ± 85.9 s) was less than the Control group (509.8 ± 103.6 s), with a mean difference of 107.6 s (95% confidence interval [CI], 60.5-179.5 s, P < .001). The CDS group used fewer mouse clicks (26.4 ± 4.5 clicks) than the Control group (56.0 ± 15.0 clicks) with a mean difference of 29.6 clicks (95% CI, 23.2-37.6, P < .001). The CDS group had fewer pixels traveled on the computer monitor (59.5 ± 20.0 thousand pixels) than the Control group (109.3 ± 40.8 thousand pixels) with a mean difference of 49.8 thousand pixels (95% CI, 33.0-73.7, P < .001).
CONCLUSIONS: The perioperative medication-related CDS software prototype substantially outperformed standard EHR workflow by decreasing task time and improving efficiency and quality of care in a simulation setting.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:29 |
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Enthalten in: |
Journal of the American Medical Informatics Association : JAMIA - 29(2022), 8 vom: 12. Juli, Seite 1416-1424 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Nanji, Karen C [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 14.07.2022 Date Revised 17.05.2023 published: Print Citation Status MEDLINE |
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doi: |
10.1093/jamia/ocac035 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM34098631X |
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520 | |a © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissionsoup.com. | ||
520 | |a OBJECTIVE: We developed a comprehensive, medication-related clinical decision support (CDS) software prototype for use in the operating room. The purpose of this study was to compare the usability of the CDS software to the current standard electronic health record (EHR) medication administration and documentation workflow | ||
520 | |a MATERIALS AND METHODS: The primary outcome was the time taken to complete all simulation tasks. Secondary outcomes were the total number of mouse clicks and the total distance traveled on the screen in pixels. Forty participants were randomized and assigned to complete 7 simulation tasks in 1 of 2 groups: (1) the CDS group (n = 20), who completed tasks using the CDS and (2) the Control group (n = 20), who completed tasks using the standard medication workflow with retrospective manual documentation in our anesthesia information management system. Blinding was not possible. We video- and audio-recorded the participants to capture quantitative data (time on task, mouse clicks, and pixels traveled on the screen) and qualitative data (think-aloud verbalization) | ||
520 | |a RESULTS: The CDS group mean total task time (402.2 ± 85.9 s) was less than the Control group (509.8 ± 103.6 s), with a mean difference of 107.6 s (95% confidence interval [CI], 60.5-179.5 s, P < .001). The CDS group used fewer mouse clicks (26.4 ± 4.5 clicks) than the Control group (56.0 ± 15.0 clicks) with a mean difference of 29.6 clicks (95% CI, 23.2-37.6, P < .001). The CDS group had fewer pixels traveled on the computer monitor (59.5 ± 20.0 thousand pixels) than the Control group (109.3 ± 40.8 thousand pixels) with a mean difference of 49.8 thousand pixels (95% CI, 33.0-73.7, P < .001) | ||
520 | |a CONCLUSIONS: The perioperative medication-related CDS software prototype substantially outperformed standard EHR workflow by decreasing task time and improving efficiency and quality of care in a simulation setting | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Randomized Controlled Trial | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a Research Support, U.S. Gov't, P.H.S. | |
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650 | 4 | |a clinical decision support systems | |
650 | 4 | |a drug safety | |
650 | 4 | |a randomized controlled trial | |
650 | 4 | |a usability testing | |
700 | 1 | |a Garabedian, Pamela M |e verfasserin |4 aut | |
700 | 1 | |a Langlieb, Marin E |e verfasserin |4 aut | |
700 | 1 | |a Rui, Angela |e verfasserin |4 aut | |
700 | 1 | |a Tabayoyong, Leo L |e verfasserin |4 aut | |
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700 | 1 | |a Deng, Hao |e verfasserin |4 aut | |
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700 | 1 | |a Minehart, Rebecca D |e verfasserin |4 aut | |
700 | 1 | |a Bates, David W |e verfasserin |4 aut | |
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