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The Impact of Perioperative Data Science in Hospital Knowledge Management

  • Systems-Level Quality Improvement
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Abstract

Conservative practices, such as manual registry have limited scope regarding preoperative, intraoperative and postoperative decision making, knowledge discovery, analytical techniques and knowledge integration into patient care. To maximize quality and value, perioperative care is changing through new technological developments. In this context, knowledge management practices will enable future transformation and enhancements in healthcare services. By performing a data science and knowledge management research in the perioperative department at Hospital Dr. Nélio Mendonça between 2013 and 2015, this paper describes its principal results. This study showed perioperative decision-making improvement by integrating data science tools on the perioperative electronic system (PES). Before the PES implementation only 1,2% of the nurses registered the preoperative visit and after 87,6% registered it. Regarding the patient features it was possible to assess anxiety and pain levels. A future conceptual model for perioperative decision support systems grounded on data science should be considered as a knowledge management tool.

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Author information

Authors and Affiliations

  1. Information Technology Research Department, Santiago Compostela University, Santiago, Spain

    Márcia Baptista

  2. Knowledge Management and Engineering Research Group, Universidade Atlântica, Barcarena, Portugal

    José Braga Vasconcelos

  3. Centro de Administração e Políticas Públicas (CAPP) da Universidade de Lisboa, Lisboa, Portugal

    José Braga Vasconcelos

  4. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  5. Bloco Operatório, Hospital Dr. Nélio Mendonça, Madeira, Portugal

    Rita Silva

  6. Politécnico do Porto, ISCAP, CEOS.PP, S. Mamede de Infesta, Portugal

    João Vidal Carvalho

  7. Health Higher School, Madeira University and The Health Sciences Research Unit: Nursing, Coimbra, Portugal

    Helena Gonçalves Jardim

  8. Universidade da Madeira, Madeira, Portugal

    António Quintal

Authors
  1. Márcia Baptista
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  2. José Braga Vasconcelos
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  3. Álvaro Rocha
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  4. Rita Silva
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  5. João Vidal Carvalho
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  6. Helena Gonçalves Jardim
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  7. António Quintal
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Corresponding author

Correspondence to Márcia Baptista.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Baptista, M., Vasconcelos, J.B., Rocha, Á. et al. The Impact of Perioperative Data Science in Hospital Knowledge Management. J Med Syst 43, 41 (2019). https://doi.org/10.1007/s10916-019-1162-3

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  • DOI: https://doi.org/10.1007/s10916-019-1162-3

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