A development research of a clinical indicator about patients' falls by secondary use of electronic medical record system data.

• Project/Area Number: 26870134
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Fundamental nursing; Medical and hospital managemen
• Research Institution: The University of Tokyo
• Principal Investigator: Shinichiroh Yokota 東京大学, 医学部附属病院, 助教 (90599490)
• Project Period (FY): 2014-04-01 – 2016-03-31
• Project Status: Completed (Fiscal Year 2015)
• Budget Amount: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
• Keywords: 医療安全 / 患者転倒 / リスクアセスメント / 看護管理 / データ二次利用 / 機械学習 / 看護必要度 / 入院中の転倒 / ビッグデータ

Outline of Final Research Achievements

I made a easy-to-use inpatients' fall risk prediction model by using electronic medical record system data. I named this model FiND (Find Fall risk of inpatients From Nursing Data). It can be also useful for predicting number of falls in wards.

Research Products

• [Journal Article] Construction and evaluation of FiND, a fall risk prediction model of inpatients from nursing data. (2016)
  • Author(s): Yokota S, Ohe K.
  • Journal Title: Japan Journal of Nursing Science Volume: 13 Issue: 2 Pages: 247-255
  • DOI: 10.1111/jjns.12103
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] 電子カルテデータを利用した後ろ向きコホートによる患者転倒リスク予測式の構築・評価・実装手法 (2014)
  • Author(s): 横田慎一郎, 遠藤美代子, 平松達雄, 野口貴史, 美代賢吾, 大江和彦.
  • Journal Title: 医療情報学 Volume: 34(3) Pages: 119-128
  • NAID: 130005148391
  • Peer Reviewed / Acknowledgement Compliant
• [Presentation] Evaluation of a Fall Risk Prediction Tool Using Large-Scale Data. (2016)
  • Author(s): Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K.
  • Organizer: 13th International Congress in Nursing Informatics
  • Place of Presentation: Geneva, Switzerland
  • Year and Date: 2016-06-25
  • Int'l Joint Research
• [Presentation] 電子カルテデータを用いた推定式による入院時転倒発生件数の算出 (2014)
  • Author(s): 横田慎一郎, 平松達雄, 美代賢吾, 大江 和彦.
  • Organizer: 第34回医療情報学連合大会（第15回日本医療情報学会学術大会）
  • Place of Presentation: 幕張メッセ国際会議場（千葉県千葉市）
  • Year and Date: 2014-11-06 – 2014-11-08