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 in...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2025-06-01
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| Series: | BMJ Health & Care Informatics |
| Online Access: | https://informatics.bmj.com/content/32/1/e101128.full |
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| author | Hsuan-Chia Yang Yu-Chuan Li Shuo-Chen Chien Chia-Hui Chien Chun-You Chen Po-Han Chien Chun-Kung Hsu |
| author_facet | Hsuan-Chia Yang Yu-Chuan Li Shuo-Chen Chien Chia-Hui Chien Chun-You Chen Po-Han Chien Chun-Kung Hsu |
| author_sort | Hsuan-Chia Yang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aaf0ca06092341efb6e209f12013cb3f |
| institution | Kabale University |
| issn | 2632-1009 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Health & Care Informatics |
| spelling | doaj-art-aaf0ca06092341efb6e209f12013cb3f2025-08-20T03:31:51ZengBMJ Publishing GroupBMJ Health & Care Informatics2632-10092025-06-0132110.1136/bmjhci-2024-101128Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alertsHsuan-Chia Yang0Yu-Chuan Li1Shuo-Chen Chien2Chia-Hui Chien3Chun-You Chen4Po-Han Chien5Chun-Kung Hsu6Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, TaiwanResearch Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, TaiwanGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, TaiwanGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, TaiwanGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, TaiwanDepartment of Finance, National Taiwan University, Taipei, TaiwanInformation Technology Office, Chuming Hospital, Hsinchu, TaiwanObjective 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.https://informatics.bmj.com/content/32/1/e101128.full |
| spellingShingle | Hsuan-Chia Yang Yu-Chuan Li Shuo-Chen Chien Chia-Hui Chien Chun-You Chen Po-Han Chien Chun-Kung Hsu Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts BMJ Health & Care Informatics |
| title | Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts |
| title_full | Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts |
| title_fullStr | Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts |
| title_full_unstemmed | Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts |
| title_short | Using technology acceptance model to explore physicians’ perspectives of clinical decision support system alerts |
| title_sort | using technology acceptance model to explore physicians perspectives of clinical decision support system alerts |
| url | https://informatics.bmj.com/content/32/1/e101128.full |
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