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Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot

Purpose: This research aimed to evaluate medication software for a healthcare robot. Study I compared two software versions (RoboGen and RoboGen2) for system usability, speed and accuracy of medication entry; Study II evaluated system usability and community pharmacists’ views of RoboGen2. Methods:...

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Autores principales: Martini, Nataly, Broadbent, Elizabeth, Koo, Jasmine, Lam, Laurence, Verches, Diane, Zeng, Sophie, Montgomery-Walsh, Rhea, Sutherland, Craig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821944/
https://www.ncbi.nlm.nih.gov/pubmed/35146001
http://dx.doi.org/10.3389/frobt.2022.814268
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author Martini, Nataly
Broadbent, Elizabeth
Koo, Jasmine
Lam, Laurence
Verches, Diane
Zeng, Sophie
Montgomery-Walsh, Rhea
Sutherland, Craig
author_facet Martini, Nataly
Broadbent, Elizabeth
Koo, Jasmine
Lam, Laurence
Verches, Diane
Zeng, Sophie
Montgomery-Walsh, Rhea
Sutherland, Craig
author_sort Martini, Nataly
collection PubMed
description Purpose: This research aimed to evaluate medication software for a healthcare robot. Study I compared two software versions (RoboGen and RoboGen2) for system usability, speed and accuracy of medication entry; Study II evaluated system usability and community pharmacists’ views of RoboGen2. Methods: Study I had a within-subjects experimental design and recruited 40 Health Sciences students to enter different, comparable sets of prescriptions into the two systems, in randomized order, within a limit of 15 min. Screen activity was recorded to observe prescription errors. Study II had a cross-sectional observational design and recruited 20 community pharmacists using convenience sampling. Pharmacists entered three prescriptions using RoboGen2. Participants in both studies completed the System Usability Scale (SUS) following each task. Study I participants completed a questionnaire on system preference, and Study II participants a semi-structured interview. Results: Study I participants preferred Robogen2 (p < 0.001) due to its sleek and modern layout, good flow, ease of use, and intuitive design. SUS scores [t (40) = −3.40, p = 0.002] and speed of medication entry favored Robogen2 (t = 3.65, p < 0.001). No significance was found in accuracy (t = 1.12, p = 0.27). In study 2, pharmacists rated the usability of RoboGen2 below average. Themes from interviews were navigation and streamlining the system, ease of use, and integration with pharmacy software systems. Conclusion: Adding safety features and better aesthetics can improve the usability and safety of a medication prescription system. Streamlining workflow and pre-populating data can increase speed of prescription entry without compromising patient safety. However, a better approach is integration with pre-existing pharmacy systems to reduce workload while incorporating safety features built into existing dispensing systems.
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spelling pubmed-88219442022-02-09 Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot Martini, Nataly Broadbent, Elizabeth Koo, Jasmine Lam, Laurence Verches, Diane Zeng, Sophie Montgomery-Walsh, Rhea Sutherland, Craig Front Robot AI Robotics and AI Purpose: This research aimed to evaluate medication software for a healthcare robot. Study I compared two software versions (RoboGen and RoboGen2) for system usability, speed and accuracy of medication entry; Study II evaluated system usability and community pharmacists’ views of RoboGen2. Methods: Study I had a within-subjects experimental design and recruited 40 Health Sciences students to enter different, comparable sets of prescriptions into the two systems, in randomized order, within a limit of 15 min. Screen activity was recorded to observe prescription errors. Study II had a cross-sectional observational design and recruited 20 community pharmacists using convenience sampling. Pharmacists entered three prescriptions using RoboGen2. Participants in both studies completed the System Usability Scale (SUS) following each task. Study I participants completed a questionnaire on system preference, and Study II participants a semi-structured interview. Results: Study I participants preferred Robogen2 (p < 0.001) due to its sleek and modern layout, good flow, ease of use, and intuitive design. SUS scores [t (40) = −3.40, p = 0.002] and speed of medication entry favored Robogen2 (t = 3.65, p < 0.001). No significance was found in accuracy (t = 1.12, p = 0.27). In study 2, pharmacists rated the usability of RoboGen2 below average. Themes from interviews were navigation and streamlining the system, ease of use, and integration with pharmacy software systems. Conclusion: Adding safety features and better aesthetics can improve the usability and safety of a medication prescription system. Streamlining workflow and pre-populating data can increase speed of prescription entry without compromising patient safety. However, a better approach is integration with pre-existing pharmacy systems to reduce workload while incorporating safety features built into existing dispensing systems. Frontiers Media S.A. 2022-01-25 /pmc/articles/PMC8821944/ /pubmed/35146001 http://dx.doi.org/10.3389/frobt.2022.814268 Text en Copyright © 2022 Martini, Broadbent, Koo, Lam, Verches, Zeng, Montgomery-Walsh and Sutherland. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Martini, Nataly
Broadbent, Elizabeth
Koo, Jasmine
Lam, Laurence
Verches, Diane
Zeng, Sophie
Montgomery-Walsh, Rhea
Sutherland, Craig
Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title_full Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title_fullStr Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title_full_unstemmed Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title_short Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
title_sort investigating the usability, efficacy and accuracy of a medication entering software system for a healthcare robot
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821944/
https://www.ncbi.nlm.nih.gov/pubmed/35146001
http://dx.doi.org/10.3389/frobt.2022.814268
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