Martini Nataly, Broadbent Elizabeth, Koo Jasmine, Lam Laurence, Verches Diane, Zeng Sophie, Montgomery-Walsh Rhea, Sutherland Craig
School of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
School of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Front Robot AI. 2022 Jan 25;9:814268. doi: 10.3389/frobt.2022.814268. eCollection 2022.
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. 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. Study I participants preferred Robogen2 ( < 0.001) due to its sleek and modern layout, good flow, ease of use, and intuitive design. SUS scores [ (40) = -3.40, = 0.002] and speed of medication entry favored Robogen2 ( = 3.65, < 0.001). No significance was found in accuracy ( = 1.12, = 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. 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.
本研究旨在评估一款用于医疗机器人的药物管理软件。研究一比较了两个软件版本(RoboGen和RoboGen2)在系统可用性、药物录入速度和准确性方面的表现;研究二评估了系统可用性以及社区药剂师对RoboGen2的看法。研究一采用了被试内实验设计,招募了40名健康科学专业的学生,让他们在15分钟的时间限制内,以随机顺序在两个系统中录入不同但具有可比性的处方集。记录屏幕活动以观察处方错误。研究二采用了横断面观察设计,通过便利抽样招募了20名社区药剂师。药剂师使用RoboGen2录入三张处方。两项研究的参与者在每项任务完成后都填写了系统可用性量表(SUS)。研究一的参与者完成了一份关于系统偏好的问卷,研究二的参与者进行了一次半结构化访谈。研究一的参与者更喜欢Robogen2(<0.001),因为它的布局简洁现代、流程顺畅、易于使用且设计直观。SUS评分[(40)=-3.40,=0.002]以及药物录入速度都表明Robogen2更具优势(=3.65,<0.001)。在准确性方面未发现显著差异(=1.12,=0.27)。在研究2中,药剂师对RoboGen2的可用性评价低于平均水平。访谈得出的主题包括系统导航与简化、易用性以及与药房软件系统的集成。增加安全功能和提升美观度可以提高药物处方系统的可用性和安全性。简化工作流程和预先填充数据可以提高处方录入速度,同时不影响患者安全。然而,更好的方法是与现有的药房系统集成,以减少工作量,同时融入现有配药系统中的安全功能。