Application of artificial intelligence to electronic health record data in long-term care facilities: a scoping review protocol.

Journal: BMJ open
Published Date:

Abstract

INTRODUCTION: Although artificial intelligence (AI) has been widely applied to electronic health record (EHR) data in hospital environments, its use in long-term care (LTC) facilities remains unexplored. Limited information technology infrastructure and unique challenges in LTC settings require a comprehensive examination of AI's potential to enhance care quality and operational efficiency. With the aim of examining the application of AI to EHR data in LTC facilities, this scoping review will identify current AI applications for EHR in LTC, informing future research and potential care improvements in LTC settings.

Authors

  • Hirochika Ryuno
    Department of Clinical Nursing, Shiga University of Medical Science Graduate School of Nursing, Otsu, Shiga, Japan hryuno@belle.shiga-med.ac.jp.
  • Tsuyoshi Mukaihata
    Department of Nursing, Hyogo Medical University Graduate School of Nursing, Kobe, Hyogo, Japan.
  • Tadamasa Takemura
    Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
  • Chieko Greiner
    Department of Nursing, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan.
  • Yuko Yamaguchi
    Watarase Research Center, Kyorin Pharmaceutical Co., Ltd., 1848 Nogi, Nogi-machi, Shimotsuga-gun, Tochigi 329-0114, Japan.