Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge

Satoko Tsuru, Akihiro Nakao, Naohisa Yahagi, Kouichi Tanizaki, Kumiko Sudo, Shizuka Morimatsu, Tomomi Takaki, Nobuko Takakusaki, Tomoko Higashi, Keiko Nakashigeg, Miyuki Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hospitalization expenses account for a high rate of national medical care expenditure in Japan. The Japanese national medical care expenditure was 42 trillion 364.4 billion yen in 2015, in which hospitalization expenses were 15 trillion 575.2 billion yen (36. 8%). Therefore, it is necessary to take measures to reduce hospitalization expenses. The total ratio of the labor cost of physicians and nurses accounted for about 1/3 of all expenditures of general hospitals in 2015. Moreover, the personnel cost of nurses accounted for about 1/5 of all expenditure, showing that the personnel cost of nurses is an element with a large influence on hospital management. The objective of this study was to develop a methodology to reduce the overtime work of nurses accounting for a large rate of personnel expenses by focusing on overtime work, a personnel expense-increasing factor, aiming at hospital cost reduction. First, the cause of overtime work, planning, and recording by nurses were analyzed and an IT application increasing the quality and efficiency of the work was developed. Then, fees for the use and maintenance of the IT system meeting the following conditions were set as a strategy to introduce the system: (1) 50% reduction of the overtime work of nurses and (2) fees 50% or lower than the reduced payment for overtime work. This IT application was introduced to the heads and directors of nursing of 5 hospitals and the strategy was proposed. All heads and directors highly evaluated the system and responded to initiate the process for the introduction. It was suggested that the methodology to reduce the overtime work of nurses proposed by this study is useful and feasible.

Original languageEnglish
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1061-1064
Number of pages4
ISBN (Electronic)9781643680026
DOIs
Publication statusPublished - 2019 Aug 21
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: 2019 Aug 252019 Aug 30

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
CountryFrance
CityLyon
Period19/8/2519/8/30

Fingerprint

Nursing Records
Nursing
Innovation
Nurses
Personnel
Health Expenditures
Health care
Hospitalization
Fees and Charges
Costs and Cost Analysis
Costs
Head
Cost reduction
Hospital Costs
General Hospitals
Planning
Japan
Maintenance
Physicians

Keywords

  • Health expenditures
  • Hospitalization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Tsuru, S., Nakao, A., Yahagi, N., Tanizaki, K., Sudo, K., Morimatsu, S., ... Takahashi, M. (2019). Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1061-1064). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190387

Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge. / Tsuru, Satoko; Nakao, Akihiro; Yahagi, Naohisa; Tanizaki, Kouichi; Sudo, Kumiko; Morimatsu, Shizuka; Takaki, Tomomi; Takakusaki, Nobuko; Higashi, Tomoko; Nakashigeg, Keiko; Takahashi, Miyuki.

MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1061-1064 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tsuru, S, Nakao, A, Yahagi, N, Tanizaki, K, Sudo, K, Morimatsu, S, Takaki, T, Takakusaki, N, Higashi, T, Nakashigeg, K & Takahashi, M 2019, Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1061-1064, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 19/8/25. https://doi.org/10.3233/SHTI190387
Tsuru S, Nakao A, Yahagi N, Tanizaki K, Sudo K, Morimatsu S et al. Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1061-1064. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI190387
Tsuru, Satoko ; Nakao, Akihiro ; Yahagi, Naohisa ; Tanizaki, Kouichi ; Sudo, Kumiko ; Morimatsu, Shizuka ; Takaki, Tomomi ; Takakusaki, Nobuko ; Higashi, Tomoko ; Nakashigeg, Keiko ; Takahashi, Miyuki. / Reduction of overwork time of nurses by innovation of nursing records using structured clinical knowledge. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1061-1064 (Studies in Health Technology and Informatics).
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