YOKOTA Shinichiroh 横田慎一郎

… Alternative Names

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

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

1. Mitsunori Miyashita (90301142)

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YOKOTA Shinichiroh 横田 慎一郎

Shinichiroh Yokota 横田 慎一郎

Research Projects

Research Products

Co-Researchers

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

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a Family Nursing Practice Visualization System by Analyzing Clinical Nursing Data Using AI

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Project Period (FY)

Research Category

Review Section

Research Institution

Developing a continuous quality improvement system to enhance both clients and caregives well-being

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Project Period (FY)

Research Category

Review Section

Research Institution

Research on development of data-driven centralized medical incident monitoring system

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Evaluation of physical, psychological, social and spiritual pain by natural language processing method.

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research on development of prediction method of fall by large scale clinical nursing data and machine learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

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

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

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

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing2018

Author(s)

Journal Title

Data Source

[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)

Journal Title

NAID

Data Source

[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)

Journal Title

YOKOTA Shinichiroh 横田慎一郎

Shinichiroh Yokota 横田慎一郎