A Development of Automatic Audit System for Written Informed Consent using Machine Learning.

Journal: Studies in health technology and informatics
Published Date: Jan 1, 2015

Abstract

In Japan, most of all the university and advanced hospitals have implemented both electronic order entry systems and electronic charting. In addition, all medical records are subjected to inspector audit for quality assurance. The record of informed consent (IC) is very important as this provides evidence of consent from the patient or patient's family and health care provider. Therefore, we developed an automatic audit system for a hospital information system (HIS) that is able to evaluate IC automatically using machine learning.

Authors

  • Hitomi Yamada
    National Cerebral and Cardiovascular Center, Suita, Japan.
  • Tadamasa Takemura
    Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
  • Takahiro Asai
    Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
  • Kazuya Okamoto
    Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Tomohiro Kuroda
    Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Shigeki Kuwata
    National Cerebral and Cardiovascular Center, Suita, Japan.

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