How Are Clinicians' Acceptance and Use of Clinical Decision Support Systems Evaluated Over Time? A Systematic Review

被引:1
|
作者
Newton, Nicki [1 ]
Bamgboje-Ayodele, Adeola [1 ]
Forsyth, Rowena [1 ]
Tariq, Amina [2 ,3 ]
Baysari, Melissa T. [1 ]
机构
[1] Univ Sydney, Sch Med Sci, Fac Med & Hlth, Biomed Informat & Digital Hlth, Sydney, Australia
[2] Queensland Univ Technol, Australian Ctr Hlth Serv Innovat, Brisbane, Qld, Australia
[3] Queensland Univ Technol, Ctr Healthcare Transformat, Brisbane, Qld, Australia
来源
关键词
Clinical decision support; implementation; clinician acceptance; system use;
D O I
10.3233/SHTI230967
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Clinical decision support systems (CDSS) can enhance the safety and quality of patient care, but their benefits are often hampered by low acceptance and use by clinicians in practice. Existing research has explored clinicians' experiences with CDSS in a static nature, with limited consideration of how user needs may change over time. This review aimed to identify the methods used to capture clinicians' acceptance and use of CDSS in hospital settings at different time points following implementation and highlight gaps to inform future work. Seventy-six studies met inclusion criteria. Qualitative methods were rarely used during the early implementation phases, particularly in the first 2 months following implementation. Further work is needed to understand clinicians' experiences immediately following implementation of CDSS and how these insights can be used to support use over time.
引用
收藏
页码:259 / 263
页数:5
相关论文
共 50 条
  • [31] How is the use of technology in education evaluated? A systematic review
    Lai, Jennifer W. M.
    Bower, Matt
    COMPUTERS & EDUCATION, 2019, 133 : 27 - 42
  • [32] Clinical decision support in clinical practice: A systematic review
    Esho, A.
    Choy, K. W.
    Loh, T. P.
    CLINICA CHIMICA ACTA, 2024, 558
  • [33] The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review
    Olakotan, Olufisayo Olusegun
    Yusof, Maryati Mohd
    HEALTH INFORMATICS JOURNAL, 2021, 27 (02)
  • [34] Systematic review of the performance evaluation of clinicians with or without the aid of machine learning clinical decision support system
    Nuutinen, Mikko
    Leskela, Riikka-Leena
    HEALTH AND TECHNOLOGY, 2023, 13 (04) : 557 - 570
  • [35] Systematic review of the performance evaluation of clinicians with or without the aid of machine learning clinical decision support system
    Mikko Nuutinen
    Riikka-Leena Leskelä
    Health and Technology, 2023, 13 : 557 - 570
  • [36] Decision Support Systems in Cardiology: A Systematic Review
    Dudchenko, Aleksey
    Kopanitsa, Georgy
    PHEALTH 2017, 2017, 237 : 209 - 214
  • [37] Factors Known to Influence Acceptance of Clinical Decision Support Systems
    Kilsdonk, E.
    Peute, L. W. P.
    Knijnenburg, S. L.
    Jaspers, M. W. M.
    USER CENTRED NETWORKED HEALTH CARE, 2011, 169 : 150 - 154
  • [38] Acceptance of clinical decision support systems in Saudi healthcare organisations
    Aljarboa, Soliman
    Miah, Shah J.
    INFORMATION DEVELOPMENT, 2023, 39 (01) : 86 - 106
  • [39] How Health Systems Decide to Use Artificial Intelligence for Clinical Decision Support
    Gonzalez-Smith, Jonathan
    Shen, Humphrey
    Singletary, Elizabeth
    Silcox, Christina
    NEJM CATALYST INNOVATIONS IN CARE DELIVERY, 2022, 3 (04):
  • [40] Knowledge discovery in clinical decision support systems for pain management: A systematic review
    Pombo, Nuno
    Araujo, Pedro
    Viana, Joaquim
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 60 (01) : 1 - 11