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Title: The Impact of Perioperative Data Science in Hospital Knowledge Management
Authors: Baptista, Márcia
Vasconcelos, José Braga
Rocha, Álvaro
Silva, Rita
Carvalho, João Vidal
Jardim, Helena Gonçalves
Quintal, António
Keywords: Perioperative data science
Knowledge management
Clinical decision support systems
Hospital information systems
Issue Date: Jan-2019
Publisher: Journal of Medical System
Citation: Baptista, M.; Vasconcelos, J.B.; Rocha, A.; Silva, R.; Carvalho, J.V.; Jardim, H. G.; Quintal, A. (2019). The Impact of Perioperative Data Science in Hospital Knowledge Management. 41-47.
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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