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The impact of perioperative data science in hospital knowledge management

2019Journal article Open access
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dc.contributor.authorBaptista, Márcia
dc.contributor.authorVasconcelos, José Braga
dc.contributor.authorRocha, Álvaro
dc.contributor.authorSilva, Rita
dc.contributor.authorCarvalho, João Vidal
dc.contributor.authorJardim, Helena Gonçalves
dc.contributor.authorQuintal, António
dc.date.accessioned2022-04-06T09:01:25Z
dc.date.available2022-04-06T09:01:25Z
dc.date.issued2019
dc.description.abstractConservative practices, such as manual registry have limited scope regarding preoperative, intraoperative and post operative 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBaptista, M., Vasconcelos, J. B., Rocha, Á., Silva, R., Carvalho, J. V., Jardim, H. G., & Quintal, A. (2019). The impact of perioperative data science in hospital knowledge management. Journal of Medical Systems, 43(2), 1-7. https://doi.org/10.1007/s10916-019-1162-3pt_PT
dc.identifier.doi10.1007/s10916-019-1162-3pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4225
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPerioperative data sciencept_PT
dc.subjectKnowledge managementpt_PT
dc.subjectClinical decision support systemspt_PT
dc.subjectHospital information systemspt_PT
dc.subject.pt_PT
dc.subjectEscola Superior de Saúdept_PT
dc.titleThe impact of perioperative data science in hospital knowledge managementpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2pt_PT
oaire.citation.titleJournal of Medical Systemspt_PT
oaire.citation.volume43pt_PT
person.familyNameRocha
person.familyNamesilva
person.familyNameGonçalves Jardim
person.givenNameÁlvaro
person.givenNamerita
person.givenNameMaria Helena de Agrela
person.identifier.ciencia-id9613-2369-B8C7
person.identifier.ciencia-id3117-FFCD-88BB
person.identifier.ciencia-id5F1B-DA55-D05B
person.identifier.orcid0000-0002-9532-0490
person.identifier.orcid0000-0002-2521-975X
person.identifier.orcid0000-0001-7622-1449
person.identifier.ridK-5353-2014
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication453ddc2b-b0b6-422b-a260-49d84f91e7ca
relation.isAuthorOfPublication0a4af9ae-f3df-43fb-9d4c-74fe596db132
relation.isAuthorOfPublication2db1d5b6-ddde-48d9-90b0-063465d3c40f
relation.isAuthorOfPublication.latestForDiscovery0a4af9ae-f3df-43fb-9d4c-74fe596db132

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