This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1452) Clinical Information and Decision Making (1790)

Published on in Vol 8, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16912, first published .
Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study

Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study

Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study

Authors of this article:

Liyuan Tao1 Author Orcid Image ;   Chen Zhang2 Author Orcid Image ;   Lin Zeng1 Author Orcid Image ;   Shengrong Zhu2 Author Orcid Image ;   Nan Li1 Author Orcid Image ;   Wei Li2 Author Orcid Image ;   Hua Zhang1 Author Orcid Image ;   Yiming Zhao1 Author Orcid Image ;   Siyan Zhan1, 3 Author Orcid Image ;   Hong Ji2 Author Orcid Image
Article Authors Cited by (27) Tweetations (18) Metrics

Journals

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  8. Wang X, Xi H, Geng X, Li Y, Zhao M, Li F, Li Z, Ji H, Tian H. Artificial Intelligence-Based Prediction of Lower Extremity Deep Vein Thrombosis Risk After Knee/Hip Arthroplasty. Clinical and Applied Thrombosis/Hemostasis 2023;29 View
  9. Zhang D, Xiao L, Duan J, Chang X, Walsh K, Sandars J, Brown J, Dang X, Shen W, Du J, Cao Y. Understanding online self-directed learning using point of care information systems (POCIS): A plot study using a capability approach perspective. Medical Teacher 2022;44(12):1413 View
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  14. Armando L, Miglio G, de Cosmo P, Cena C. Clinical decision support systems to improve drug prescription and therapy optimisation in clinical practice: a scoping review. BMJ Health & Care Informatics 2023;30(1):e100683 View
  15. K N, M․ B M. Fuzzy rule based classifier model for evidence based clinical decision support systems. Intelligent Systems with Applications 2024;22:200393 View
  16. Huang Z, Lim H, Ow J, Sun S, Chow A. Doctors’ perception on the ethical use of AI-enabled clinical decision support systems for antibiotic prescribing recommendations in Singapore. Frontiers in Public Health 2024;12 View
  17. Hatem N. Advancing Pharmacy Practice: The Role of Intelligence-Driven Pharmacy Practice and the Emergence of Pharmacointelligence. Integrated Pharmacy Research and Practice 2024;Volume 13:139 View
  18. Kim B, Ryan K, Kim J. Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study. Journal of Medical Ethics 2025;51(8):541 View
  19. Zhu S, Yang R, Pan Z, Tian X, Ji H. MISDP: multi-task fusion visit interval for sequential diagnosis prediction. BMC Bioinformatics 2024;25(1) View
  20. Azadi A, García-Peñalvo F. A Synergistic Bridge Between Human–Computer Interaction and Data Management Within CDSS. Data 2025;10(5):60 View
  21. Marceau M, Dulgarian S, Cambre J, Garabedian P, Amato M, Seger D, Volk L, Jackson G, Bates D, Rozenblum R, Syrowatka A. Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study. JMIR Medical Informatics 2025;13:e60191 View
  22. Schwalowsky O. Use of clinical decision tools across urgent and primary care: recognising barriers and challenges. International Journal for Advancing Practice 2025:1 View
  23. Wang W, Yang B, Wu H, Che H, Tong Y, Zhang B, Liu H, Chen Y. Auxiliary Diagnosis of Pulmonary Nodules’ Benignancy and Malignancy Based on Machine Learning: A Retrospective Study. Journal of Multidisciplinary Healthcare 2025;Volume 18:3735 View
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Books/Policy Documents

  1. Popolo V, Nyanchama K, Marchesano M. Proceedings of LLEAHMM 2024. View

Conference Proceedings

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  2. Onyeachu P, Bounsall K, Inches J, Hammett K, Hunneman R, Stapleton N, Meinert E, Carroll C. 2025 IEEE International Conference on Digital Health (ICDH). SMaRT-PD CDSS: A Service Improvement Initiative for Self-Management and Clinical Decision Support in Parkinson’s Disease - Development and Initial Validation. View