运用技术接受模型探讨医生对临床决策支持系统预警的看法。

IF 4.4 Q1 HEALTH CARE SCIENCES & SERVICES
Shuo-Chen Chien, Chia-Hui Chien, Chun-You Chen, Po-Han Chien, Chun-Kung Hsu, Hsuan-Chia Yang, Yu-Chuan Li
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引用次数: 0

摘要

目的:采用技术接受模型(TAM)探讨影响医生对临床决策支持系统(CDSS)预警的看法的因素,重点关注感知易用性(PEOU)、感知有用性(PU)、使用态度(AT)、用户满意度(US)和行为使用意向(BI)。方法:本研究在台湾北部单一学术医疗中心的门诊部进行,涉及72名医生,他们完成了结构化的基于tam的问卷调查。分析7个医师特征(年龄、临床经验、CDSS操作情况、患者数量、就诊次数、性别和专科)对PEOU和PU的影响。多元回归分析评估TAM结构与外部因素的关系。结果:患者数量和年龄对PU和PEOU有负面影响(例如,年龄与PU: β=-2.38, p)。讨论:研究结果表明,PEOU显著影响医生使用警报的行为意愿,由于警报疲劳,患者数量多和年龄大降低了接受度。自适应、上下文感知的CDSS警报可以提高可用性,更好地与临床工作流程保持一致,从而提高高需求环境中的效率。结论:本研究强调需要情境感知、频率优化的警报设计,以提高CDSS的接受度,改善用户体验并简化临床工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using technology acceptance model to explore physicians' perspectives of clinical decision support system alerts.

Using technology acceptance model to explore physicians' perspectives of clinical decision support system alerts.

Using technology acceptance model to explore physicians' perspectives of clinical decision support system alerts.

Objective: To examine factors influencing physicians' perspectives of clinical decision support system (CDSS) alerts using the Technology Acceptance Model (TAM), focusing on perceived ease of use (PEOU), perceived usefulness (PU), attitude towards usage (AT), user satisfaction (US) and behavioural intention to use (BI).

Methods: This study was conducted in the outpatient departments of a single academic medical centre in northern Taiwan, involving 72 physicians who completed a structured TAM-based questionnaire. Seven physician's characteristics (age, clinical experience, CDSS operating status, patient volume, consultation frequency, gender and specialty) were analysed for their influence on PEOU and PU. Multiple regression analysis assessed relationships among TAM constructs and external factors.

Results: Patient volume and age negatively affected PU and PEOU (eg, age vs PU: β=-2.38, p<0.05; patient volume vs PEOU: β=-2.64, p<0.01), while clinical experience positively influenced them (PEOU: β=2.11, p<0.05). TAM construct analysis revealed that PEOU positively influenced PU (β=0.67, p<0.001), AT (β=0.31, p<0.01), and US (β=0.35, p<0.001). No significant correlation was found between US and BI (p=0.96).

Discussion: Findings suggest that PEOU significantly affects physicians' behavioural intention to use alerts, with high patient volume and older age lowering acceptance due to alert fatigue. Adaptive, context-aware CDSS alerts can improve usability and align better with clinical workflows, enhancing efficiency in high-demand environments.

Conclusion: This study highlights the need for context-aware, frequency-optimised alert designs to enhance CDSS acceptance, improve user experience and streamline clinical workflows.

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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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