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YOKOTA Shinichiroh  横田 慎一郎

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Shinichiroh Yokota  横田 慎一郎

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Researcher Number 90599490
Other IDs
Affiliation (Current) 2025: 千葉大学, 大学院看護学研究院, 教授
Affiliation (based on the past Project Information) *help 2021 – 2025: 東京大学, 医学部附属病院, 講師
2014 – 2018: 東京大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Medical and hospital managemen / Basic Section 58050:Fundamental of nursing-related
Except Principal Investigator
Medium-sized Section 58:Society medicine, nursing, and related fields / Basic Section 62010:Life, health and medical informatics-related / Basic Section 58080:Gerontological nursing and community health nursing-related / Basic Section 58060:Clinical nursing-related
Keywords
Principal Investigator
看護必要度 / 機械学習 / データ二次利用 / 医療安全 / リハビリテーション看護学 / リスクマネジメント / 診療データ二次利用 / 患者転倒予防 / 患者安全 / 医療安全管理 … More / 自然言語処理 / 電子カルテ / 転倒・転落 / ビッグデータ / 入院中の転倒 / 看護管理 / リスクアセスメント / 患者転倒 … More
Except Principal Investigator
質指標 / 機械学習 / 自然言語処理 / 緩和ケア / HL7 FHIR / 標準化 / 医療データ解析 / 医療安全 / Quality Indicator / 継続的質向上 / 長期ケア / 看護サマリー / 入退院支援 / 看護記録 / AI / 家族看護 / 評価 / 人工知能 / 全人的苦痛 Less
  • Research Projects

    (9 results)
  • Research Products

    (12 results)
  • Co-Researchers

    (37 People)
  •  人工知能と標準規格による、看護業務の質と効率向上に資する臨床情報連携に関する研究Principal Investigator

    • Principal Investigator
      横田 慎一郎
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 58050:Fundamental of nursing-related
    • Research Institution
      The University of Tokyo
  •  Development of a Family Nursing Practice Visualization System by Analyzing Clinical Nursing Data Using AI

    • Principal Investigator
      本田 順子
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 58060:Clinical nursing-related
    • Research Institution
      University of Hyogo
  •  高齢患者の入退院支援と在宅継続に寄与する個別最適な看護サマリーの構造化

    • Principal Investigator
      池崎 澄江
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 58080:Gerontological nursing and community health nursing-related
    • Research Institution
      Chiba University
  •  Developing a continuous quality improvement system to enhance both clients and caregives well-being

    • Principal Investigator
      山本 則子
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 58:Society medicine, nursing, and related fields
    • Research Institution
      The University of Tokyo
  •  自然言語処理を用いた電子カルテからの緩和ケアのQuality Indicatorの算出

    • Principal Investigator
      宮下 光令
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 58:Society medicine, nursing, and related fields
    • Research Institution
      Tohoku University
  •  Research on development of data-driven centralized medical incident monitoring system

    • Principal Investigator
      土井 俊祐
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Chiba University
  •  Evaluation of physical, psychological, social and spiritual pain by natural language processing method.

    • Principal Investigator
      Mitsunori Miyashita
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 58:Society medicine, nursing, and related fields
    • Research Institution
      Tohoku University
  •  Research on development of prediction method of fall by large scale clinical nursing data and machine learningPrincipal Investigator

    • Principal Investigator
      Yokota Shinichiroh
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Medical and hospital managemen
    • Research Institution
      The University of Tokyo
  •  A development research of a clinical indicator about patients' falls by secondary use of electronic medical record system data.Principal Investigator

    • Principal Investigator
      Shinichiroh Yokota
    • Project Period (FY)
      2014 – 2015
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Medical and hospital managemen
    • Research Institution
      The University of Tokyo

All 2018 2017 2016 2014 Other

All Journal Article Presentation

  • [Journal Article] Study about Patient Fall Using Real World Data and Information Processing Technology2018

    • Author(s)
      Yokota Shinichiroh
    • Journal Title

      Jpn J Rehabil Med

      Volume: 55 Issue: 11 Pages: 905-909

    • DOI

      10.2490/jjrmc.55.905

    • NAID

      130007544043

    • ISSN
      1881-3526, 1881-8560
    • Year and Date
      2018-11-16
    • Language
      Japanese
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Journal Article] Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing2018

    • Author(s)
      Yokota Shinichiroh, Shinohara Emiko, Ohe Kazuhiko
    • Journal Title

      Studies in Health Technology and Informatics

      Volume: 250 Pages: 159-163

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Journal Article] 転倒・転落リスクアセスメントのあり方をツール開発評価の観点から検討する2018

    • Author(s)
      横田 慎一郎、安延 由紀子、上内 哲男
    • Journal Title

      日本転倒予防学会誌

      Volume: 5 Pages: 51-55

    • NAID

      130007430860

    • Open Access
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Journal Article] 転倒・転落リスクアセスメントに関する諸検討.2017

    • Author(s)
      横田慎一郎, 上内哲夫, 安延由紀子.
    • Journal Title

      日本転倒予防学会誌.

      Volume: 4(2) Pages: 39-39

    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Journal Article] Establishing a classification system for high fall risk among inpatients using support vector machines.2017

    • Author(s)
      Yokota S, Miyoko E, Ohe K.
    • Journal Title

      CIN: Computers, Informatics, Nursing.

      Volume: 印刷中 Issue: 8 Pages: 408-416

    • DOI

      10.1097/cin.0000000000000332

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Journal Article] Evaluating the Effectiveness of a Fall Risk Screening Tool Implemented in an Electronic Medical Record System.2017

    • Author(s)
      Yokota S, Tomotaki A, Mohri O, Endo M, Ohe K.
    • Journal Title

      Journal of Nursing Care Quality.

      Volume: published ahead of print Issue: 4 Pages: 1-6

    • DOI

      10.1097/ncq.0000000000000315

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [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
    • Data Source
      KAKENHI-PROJECT-26870134
  • [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
    • Data Source
      KAKENHI-PROJECT-26870134
  • [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
    • Data Source
      KAKENHI-PROJECT-26870134
  • [Presentation] Evaluation of a Fall Risk Prediction Tool Using Large-Scale Data.2016

    • Author(s)
      Yokota S, Tomotaki A, Mouri 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
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [Presentation] Support Vector Machineを用いた入院患者転倒スクリーニングモデルの構築実験2016

    • Author(s)
      横田慎一郎, 遠藤美代子, 大江和彦.
    • Organizer
      第17回日本医療情報学会看護学術大会
    • Place of Presentation
      兵庫県神戸市
    • Year and Date
      2016-07-08
    • Data Source
      KAKENHI-PROJECT-16K20977
  • [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

    • 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
    • Data Source
      KAKENHI-PROJECT-26870134
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  • 6.  本田 順子 (50585057)
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