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

Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (23) Natural Language Processing (917) Artificial Intelligence (2129) Machine Learning (2076) Safety and Error Prevention in Health (240) Design of Processes and Workflows (187) Clinical Information and Decision Making (1915)

Published on in Vol 11 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53378, first published .
A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

Authors of this article:

Hongbo Chen1 Author Orcid Image ;   Eldan Cohen1 Author Orcid Image ;   Dulaney Wilson2 Author Orcid Image ;   Myrtede Alfred1 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Fantozzi P, Naldi M. The Explainability of Transformers: Current Status and Directions. Computers 2024;13(4):92 View
  2. Pop-Jordanova N. Opportunity to Use Artificial Intelligence in Medicine. PRILOZI 2024;45(2):5 View
  3. Moghadam M, Moghadam Z, Qazani M, Pławiak P, Alizadehsani R. Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review. IEEE Access 2024;12:122557 View
  4. Chen H, Alfred M, Brown A, Atinga A, Cohen E. Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study. JMIR Formative Research 2024;8:e59045 View
  5. De Micco F, Di Palma G, Ferorelli D, De Benedictis A, Tomassini L, Tambone V, Cingolani M, Scendoni R. Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review. Frontiers in Medicine 2025;11 View
  6. Maheshwari A, Motta M, Lui K. Editorial. Newborn 2025;4(1):iv View
  7. Chen H, Cohen E, Alfred M. Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review. Ergonomics 2025:1 View
  8. Liu S, Hao Y, Zhu S, Wan L, Yi Z, Zhang Z. Machine learning in dentistry and oral surgery: charting the course with bibliometric insights. Head & Face Medicine 2025;21(1) View
  9. Chen H, Alfred M, Cohen E. Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study. JMIR Medical Informatics 2025;13:e68955 View
  10. Breckner K, Neumayr T, Mara M, Streit M, Augstein M. The Changing Nature of Human-AI Relations: A Scoping Review on Terminology and Evolvement in the Scientific Literature. International Journal of Human–Computer Interaction 2025;41(22):14248 View
  11. Wang Y, Magrabi F. Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports. BMJ Health & Care Informatics 2025;32(1):e101146 View
  12. Lai H, Ma N, Zhao W, Liu J, Pan B, Tian J, Chen Y, Ma B, Shang H, Liu J, Bian Z, Wu D, Sun X, Du L, Zhang J, Liu X, Zeng F, Sun F, Zhang B, Jin Y, Xia J, Shi N, Liu Q, Yang K, Ge L, Huang L. Digital intelligent evidence-based medicine: new paradigm for evidence-based research and practice in the AI era. Chinese Science Bulletin 2025 View

Conference Proceedings

  1. Ling Z, Aoyama T, Yano K, Cohen E. 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). ROCKET-LRP: Explainable Time Series Classification with Application to Anomaly Prediction in Manufacturing View