Abstract
Perioperative care is changing through advances in technology with the aim of maximizing quality and value. Future transformation in care will be enabled by data and consequently by knowledge. This paper describes a knowledge management and data science research project and its results based on a study applied to the perioperative department at Hospital Dr. Nélio Mendonça between 2013 and 2015. Conservative practices, such as manual registry, are limited in their scope for preoperative, intraoperative and postoperative decision making, discovery, extent and complexity of data, analytical techniques, and translation or integration of knowledge into patient care. This study contributed to the perioperative decision making process improvement by integrating data science tools on the perioperative electronic system (PES) assembled. 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Menachemi, N., Collum, T.H.: Benefits and drawbacks of electronic health record systems. Risk Manag. Healthc. Policy 4, 47–55 (2011)
World Health Organization (WHO).: Management of patient information: trends and challenges in Member States: based on the findings of the second global survey on eHealth. Global Observatory for eHealth series, vol. 6 (2012)
Vedula, S.S., et al.: Surgical data science: the new knowledge domain. Innov. Surg. Sci. 2(3), 109–121 (2017). https://doi.org/10.1515/iss-2017-0004. Accessed 20 Apr 2017
St. Jacques, J., Minear, N.: Improving perioperative patient safety through the use of information technology. In: Henriksen, K., Battles, J.B., Keyes, M.A., et al. (eds.) Advances in Patient Safety: New Directions and Alternative Approaches, vol. 4, Technology and Medication Safety. Rockville (MD): Agency for Healthcare Research and Quality, US (2008)
Khalifa, M., Alswailem, O.: Hospital information systems (HIS) acceptance and satisfaction: a case study of a tertiary care hospital. Procedia Comput. Sci. 63(2015), 198–204 (2015)
Doebbeling, B.N., Burton, M.M., Wiebke, E.A., Miller, S., Baxter, L., Miller, D., Pekny, J.: Optimizing perioperative decision making: improved information for clinical workflow planning. In: AMIA Annual Symposium Proceedings, pp. 154–163 (2012)
Sweeney, P.: The effects of information technology on perioperative nursing. AORNJ 92(5), 528–540 (2010)
Bhavnani, S., Muñoz, D., Bagai, A.: Data science in healthcare: implications for early career investigators. circulation: cardiovascular quality and outcomes. 9, CIRCOUTCOMES.116.003081 (2016). https://doi.org/10.1161/circoutcomes.116.003081
Kakabadse, K.A.: From tacit knowledge to knowledge management: leveraging invisible assets (2001)
Cardoso A.: sd
Plessis, M.D.: Drivers of knowledge management in the corporate environment. Int. J. Inf. Manag. 25, 193–202 (2005)
Gupta, B., Iyer, L., Aronson, J.: Knowledge management: practices and challenges. Ind. Manag. Data Syst. 100(1), 17–21 (2000)
Morr, C., Subercaze, J.: Knowledge management in healthcare. In: IGI Global, pp. 490–510 (2010)
Rocha, A., Rocha, B.: Adopting nursing health record standards. Inform. Health Soc. Care 39(1), 1–14 (2014)
Carvalho, J.V., Rocha, Á., van de Wetering, R., Abreu, A.: A maturity model for hospital information systems. J. Bus. Res. 1–12 (2017, in press)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Baptista, M. et al. (2018). Perioperative Data Science: A Research Approach for Building Hospital Knowledge. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_118
Download citation
DOI: https://doi.org/10.1007/978-3-319-77712-2_118
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77711-5
Online ISBN: 978-3-319-77712-2
eBook Packages: EngineeringEngineering (R0)