Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation.

Journal: Studies in health technology and informatics
Published Date: Jun 6, 2022

Abstract

This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capability and it performed independently by nurses was used for this purpose. In the preliminary evaluation, the model achieved an accuracy of 89%. It can bring positive benefits to clinical care. Only the overfitting issue and image subtraction method remain to be addressed.

Authors

  • Shu-Chen Wu
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Yu-Chuan Jack Li
    Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
  • Hsiao-Ling Chen
    Department of Nursing, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
  • Mei Ling Ku
    Department of Nursing, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
  • Yen-Chen Yu
    Plastic Reconstructive Aesthetic Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
  • Phung-Anh Nguyen
    Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei, Taiwan.
  • Chih-Wei Huang
    Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.

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