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From Reports to Knowledge for Patient Safety Improvement through Advancements in Artificial Intelligence

Research Project

Project/Area Number 18H03336
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 62010:Life, health and medical informatics-related
Research InstitutionSt. Luke's International University

Principal Investigator

WONG Shui Yee  聖路加国際大学, 専門職大学院公衆衛生学研究科(公衆衛生大学院), 准教授 (70791599)

Co-Investigator(Kenkyū-buntansha) 林 邦好  聖路加国際大学, 専門職大学院公衆衛生学研究科(公衆衛生大学院), 講師 (00793217)
笹野 遼平  名古屋大学, 情報学研究科, 准教授 (70603918)
Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2020: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2019: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2018: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000)
KeywordsWHO Patient Safety / Artificial Intelligence / Incident reports / NLP / NER / Adverse drug events / Deep learning / adverse drug events / deep learning (DL) / Patient Safety / Artifical Intelligence / Incident Reports / Named Entity Recognition / Adverse Drug Events / Named entity recognition / Adverse Drug Event / Deep learning (DL) / Adverse drug events (ADEs) / Named entity / Natural language processing / Named Entities / Deep Learning
Outline of Final Research Achievements

Our research team has successfully completed all three specific research tasks (including 1. developed and validated annotation guidelines for medication errors incident reports, 2. developed and evaluated AI models for named entity recognistion for incident reports and 3. created prototype of AI-empowered incident report system). The FY 2018-2022 Kakenhi B team has successfully achieved optimal research outcomes and the fund has directly (as of today) resulted in 15 major international peer-reviewed publications, supported 5 Ph.D./master students (locally and globally), built our team’s significant roles in global patient safety informatics research, and our work has also drawn attention at the Health AI Acceleration Consortium (Ministry of Health, Labor and Welfare). Furthermore, our team members have disseminated to the WHO Global Patient Safety Network and many global patient safety meetings, such as WHO meeting in Florence (Dec 2019), WHO Policy Makers’ Forum (Feb 2022).

Academic Significance and Societal Importance of the Research Achievements

Our study innovates the way to collect, utilize and retrieve incident reports using the recent advances in AI/NLP methods. Our outcome is beneficial to local and global authorities/hospitals to enhance patient safety through enabling robust medication error detection and effective incident learning.

Report

(5 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (19 results)

All 2022 2021 2020 2019 2018 Other

All Journal Article (7 results) (of which Int'l Joint Research: 7 results,  Peer Reviewed: 7 results,  Open Access: 6 results) Presentation (8 results) (of which Int'l Joint Research: 6 results,  Invited: 1 results) Remarks (2 results) Funded Workshop (2 results)

  • [Journal Article] Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation2022

    • Author(s)
      Wong ZSY and Rigby M
    • Journal Title

      International Journal of Medical Informatics

      Volume: 157 Pages: 104639-104639

    • DOI

      10.1016/j.ijmedinf.2021.104639

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Managing Pandemic Responses with Health Informatics - Challenges for Assessing Digital Health Technologies2021

    • Author(s)
      Farah Magrabi, Elske Ammenwerth, Catherine K Craven, Kathrin Cresswell, Nicolet F De Keizer, Stephanie K Medlock, Philip J Scott, Zoie Shui-Yee Wong, Andrew Georgiou
    • Journal Title

      Yearb Med Inform

      Volume: 4 Issue: 01 Pages: 056-060

    • DOI

      10.1055/s-0041-1726490

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications2019

    • Author(s)
      Magrabi Farah、Ammenwerth Elske、McNair Jytte Brender、De Keizer Nicolet F.、Hypponen Hannele、Nykanen Pirkko、Rigby Michael、Scott Philip J.、Vehko Tuulikki、Wong Zoie Shui-Yee、Georgiou Andrew
    • Journal Title

      Yearbook of Medical Informatics

      Volume: 28 Issue: 01 Pages: 128-134

    • DOI

      10.1055/s-0039-1677903

    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Classification Scheme for Incident Reports of Medication Errors2019

    • Author(s)
      Shiima, Y., & Wong, Z. S.-Y.
    • Journal Title

      Studies in health technology and informatics

      Volume: 265 Pages: 113-118

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Exploring Hidden In-Hospital Fall Clusters from Incident Reports Using Text Analytics2019

    • Author(s)
      Liu, J., Wong, Z. S., Tsui, K. L., So, H. Y., & Kwok, A.
    • Journal Title

      Stud Health Technol Inform

      Volume: 264 Pages: 1526-1527

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Medication-rights detection using incident reports: A natural language processing and deep neural network approach2019

    • Author(s)
      Wong Zoie Shui-Yee、So HY、Kwok Belinda SC、Lai Mavis WS、Sun David TF
    • Journal Title

      Health Informatics Journal

      Volume: - Issue: 3 Pages: 1-18

    • DOI

      10.1177/1460458219889798

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Framework of Rebalancing Imbalanced Healthcare Data for Rare Events Classification: A Case of Look-Alike Sound-Alike Mix-Up Incident Detection2018

    • Author(s)
      Zhao Y, Wong ZSY, Tsui KL
    • Journal Title

      Journal of Healthcare Engineering

      Volume: 6275435 Pages: 11-11

    • DOI

      10.1155/2018/6275435

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Automatic Patient Fall Outcome Extraction using Narrative Incident Reports. Studies in health technology and informatics2021

    • Author(s)
      Liu J, Wong ZSY, So HY
    • Organizer
      Medinfo 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Annotation Guidelines for Medication Errors in Incident Reports: Validation through A Mixed Methods Approach2021

    • Author(s)
      Wong ZSY, Qiao Y, Sasano R, Zhang H, Taneda K, Ushiro S
    • Organizer
      Medinfo 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 自然言語処理を用いた医療インシデント報告の患者影響度推定2020

    • Author(s)
      Kurii, M., Fujita, K., Wong Z. S. Y.
    • Organizer
      The 82nd National Convention of IPSJ
    • Related Report
      2019 Annual Research Report
  • [Presentation] Developing a Medical Incident Report Corpus with Intention and Factuality Annotation2020

    • Author(s)
      Zhang, H., Sasano, R., Koichi, T., Wong Z. S. Y.
    • Organizer
      LREC 2020
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Exploring Hidden In-Hospital Fall Clusters from Incident Reports using Text Analytics2019

    • Author(s)
      Liu J, Wong ZSY, Tsui KL, So HY, Kwok A
    • Organizer
      Medinfo
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification Scheme for Incident Report of Medication Errors2019

    • Author(s)
      Shiima Y, Wong ZSY
    • Organizer
      Context Sensitive Health Informatics (CSHI)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] From Reports to Knowledge for Patient Safety Improvement through Advancements in Artificial Intelligence2019

    • Author(s)
      Wong ZSY
    • Organizer
      The 7th meeting of Health and medical field AI development acceleration consortium, Ministry of Health, Labour and Welfare (MHLW)
    • Related Report
      2018 Annual Research Report
    • Invited
  • [Presentation] Comparison of Classification Schemes for the Development of Adverse Drug Events Named Entity2018

    • Author(s)
      Wong ZSY
    • Organizer
      Asian Network for Quality (ANQ)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Remarks] AI for Patient Safety

    • URL

      https://www.aiforpatientsafety.com/

    • Related Report
      2021 Annual Research Report 2020 Annual Research Report
  • [Remarks] AI-enabled Incident Reporting and Learning System

    • URL

      https://med-incident-report.link/

    • Related Report
      2021 Annual Research Report
  • [Funded Workshop] IT and Patient Safety: Learning from Incident Reports2019

    • Related Report
      2018 Annual Research Report
  • [Funded Workshop] . Multitask Recurrent Neural Network: An Application on Predicting Depressive Disorders in the Elderly2019

    • Related Report
      2018 Annual Research Report

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Published: 2018-04-23   Modified: 2023-01-30  

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