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

Stud Health Technol Inform. 2015:216:926.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electronic Health Records
  • Humans
  • Informed Consent*
  • Machine Learning*
  • Medical Audit / methods*
  • Medical Records Systems, Computerized