A proposal for field-oriented system to support medical risk management. Support of risk management in small and medium sized hospital

Akifumi Hiranuma, Yusaku Okada

研究成果: Conference contribution

抜粋

Nowadays there is increased need for utilizing big data efficiently. In addition to using data to provide new information, combining various data sources can help create value-added information which provides new insights. In medical safety, there is increased attention for big data applications in healthcare and medical safety. Medical safety is supported by applying big data to the medical research fields. After considering the overall configuration of current system different applications were proposed. Because the database environment is not in place, authors could not consider the system in operational use, however researchers examined each application and formulated future policy.

元の言語English
ホスト出版物のタイトルAdvances in Physical Ergonomics and Human Factors - Proceedings of the AHFE 2017 International Conference on Physical Ergonomics and Human Factors, 2017
出版者Springer Verlag
ページ264-270
ページ数7
602
ISBN(印刷物)9783319608242
DOI
出版物ステータスPublished - 2018
イベントAHFE 2017 International Conference on Physical Ergonomics and Human Factors, 2017 - Los Angeles, United States
継続期間: 2017 7 172017 7 21

出版物シリーズ

名前Advances in Intelligent Systems and Computing
602
ISSN(印刷物)2194-5357

Other

OtherAHFE 2017 International Conference on Physical Ergonomics and Human Factors, 2017
United States
Los Angeles
期間17/7/1717/7/21

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • これを引用

    Hiranuma, A., & Okada, Y. (2018). A proposal for field-oriented system to support medical risk management. Support of risk management in small and medium sized hospital. : Advances in Physical Ergonomics and Human Factors - Proceedings of the AHFE 2017 International Conference on Physical Ergonomics and Human Factors, 2017 (巻 602, pp. 264-270). (Advances in Intelligent Systems and Computing; 巻数 602). Springer Verlag. https://doi.org/10.1007/978-3-319-60825-9_29