Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review

被引:7
|
作者
Ackerhans, Sophia [1 ]
Huynh, Thomas [1 ]
Kaiser, Carsten [1 ]
Schultz, Carsten [1 ]
机构
[1] Univ Kiel, Kiel Inst Responsible Innovat, Westring 425, D-24118 Kiel, Germany
关键词
Professional identity; Identity threat; Clinical decision support system; Health care; Implementation; Review; ELECTRONIC HEALTH RECORD; PHYSICIAN ORDER ENTRY; INFORMATION-TECHNOLOGY; EMERGENCY-DEPARTMENT; NURSES ACCEPTANCE; USER ACCEPTANCE; CARE; ATTITUDES; ADOPTION; MANAGEMENT;
D O I
10.1186/s13012-024-01339-x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundClinical decision support systems (CDSSs) have the potential to improve quality of care, patient safety, and efficiency because of their ability to perform medical tasks in a more data-driven, evidence-based, and semi-autonomous way. However, CDSSs may also affect the professional identity of health professionals. Some professionals might experience these systems as a threat to their professional identity, as CDSSs could partially substitute clinical competencies, autonomy, or control over the care process. Other professionals may experience an empowerment of the role in the medical system. The purpose of this study is to uncover the role of professional identity in CDSS implementation and to identify core human, technological, and organizational factors that may determine the effect of CDSSs on professional identity.MethodsWe conducted a systematic literature review and included peer-reviewed empirical studies from two electronic databases (PubMed, Web of Science) that reported on key factors to CDSS implementation and were published between 2010 and 2023. Our explorative, inductive thematic analysis assessed the antecedents of professional identity-related mechanisms from the perspective of different health care professionals (i.e., physicians, residents, nurse practitioners, pharmacists).ResultsOne hundred thirty-one qualitative, quantitative, or mixed-method studies from over 60 journals were included in this review. The thematic analysis found three dimensions of professional identity-related mechanisms that influence CDSS implementation success: perceived threat or enhancement of professional control and autonomy, perceived threat or enhancement of professional skills and expertise, and perceived loss or gain of control over patient relationships. At the technological level, the most common issues were the system's ability to fit into existing clinical workflows and organizational structures, and its ability to meet user needs. At the organizational level, time pressure and tension, as well as internal communication and involvement of end users were most frequently reported. At the human level, individual attitudes and emotional responses, as well as familiarity with the system, most often influenced the CDSS implementation. Our results show that professional identity-related mechanisms are driven by these factors and influence CDSS implementation success. The perception of the change of professional identity is influenced by the user's professional status and expertise and is improved over the course of implementation.ConclusionThis review highlights the need for health care managers to evaluate perceived professional identity threats to health care professionals across all implementation phases when introducing a CDSS and to consider their varying manifestations among different health care professionals. Moreover, it highlights the importance of innovation and change management approaches, such as involving health professionals in the design and implementation process to mitigate threat perceptions. We provide future areas of research for the evaluation of the professional identity construct within health care.
引用
收藏
页数:29
相关论文
共 50 条
  • [41] Clinical decision support for therapeutic decision-making in cancer: A systematic review
    Beauchemin, Melissa
    Murray, Meghan T.
    Sung, Lillian
    Hershman, Dawn L.
    Weng, Chunhua
    Schnall, Rebecca
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2019, 130
  • [42] Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review
    Ranji, Sumant R.
    Rennke, Stephanie
    Wachter, Robert M.
    BMJ QUALITY & SAFETY, 2014, 23 (09) : 773 - 780
  • [43] Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems
    Bai, Enze
    Zhang, Zhan
    Xu, Yincao
    Luo, Xiao
    Adelgais, Kathleen
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2025, 25 (01)
  • [44] The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review
    Wiwatkunupakarn, Nutchar
    Aramrat, Chanchanok
    Pliannuom, Suphawita
    Buawangpong, Nida
    Pinyopornpanish, Kanokporn
    Nantsupawat, Nopakoon
    Mallinson, Poppy Alice Carson
    Kinra, Sanjay
    Angkurawaranon, Chaisiri
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [45] Implementation of Electronic Clinical Decision Support for Pediatric Appendicitis
    Kharbanda, Anupam B.
    Madhok, Manu
    Krause, Ernest
    Vazquez-Benitez, Gabriela
    Kharbanda, Elyse O.
    Mize, William
    Schmeling, David
    PEDIATRICS, 2016, 137 (05)
  • [46] Acceptance of clinical decision support systems in Saudi healthcare organisations
    Aljarboa, Soliman
    Miah, Shah J.
    INFORMATION DEVELOPMENT, 2023, 39 (01) : 86 - 106
  • [47] Effects of clinical decision support systems in chronic disease management
    Li, Song
    Liu, Dan
    Lu, Lijun
    Li, Xinjian
    Tan, Xiangru
    Liu, Zaisheng
    Xie, Jing
    Zhu, Yuanzhi
    Kong, Qinglai
    Li, Yuncheng
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2024, 17 (04): : 47 - 57
  • [48] Clinical decision support systems: Need for evidence, need for evaluation
    Ammenwerth, Elske
    Nykanen, Pirkko
    Rigby, Michael
    de Keizer, Nicolette
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2013, 59 (01) : 1 - 3
  • [49] A Comprehensive Review on Smart Decision Support Systems for Health Care
    Moreira, Mario W. L.
    Rodrigues, Joel J. P. C.
    Korotaev, Valery
    Al-Muhtadi, Jalal
    Kumar, Neeraj
    IEEE SYSTEMS JOURNAL, 2019, 13 (03): : 3536 - 3545
  • [50] Combining text mining with clinical decision support in clinical practice: a scoping review
    van de Burgt, Britt W. M.
    Wasylewicz, Arthur T. M.
    Dullemond, Bjorn
    Grouls, Rene J. E.
    Egberts, Toine C. G.
    Bouwman, Arthur
    Korsten, Erik M. M.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 30 (03) : 588 - 603