Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France.
Medical assistance to stroke patients must start as early as possible; however, several changes have impacted healthcare services during the Covid-19 pandemic. This research aimed to identify the stroke onset-to-door time during the Covid-19 pandemic considering the different paths a patient can tak...
| Published in: | Studies in Health Technology & Informatics Vol. 294; pp. 48 - 53 |
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| Main Authors: | , , , , |
| Format: | proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157268364&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157268364 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2022 vid: 294 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 157268364 157268364 157268364 10.3233/SHTI220394 157268364 ppf: 48 ppct: 5 formats: tig: atl: Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France. aug: au: dos Santos LEANDRO, Gabrielle MIURA, Daniella Yuri SAFANELLI, Juliana BORGES, Rafaela Mantoan MORO, Cláudia affil: Pontifícia Universidade Católica do Paraná, Curitiba, Brazil. sug: subj: Stroke COVID-19 Pandemic Human Stroke Patients Public Assistance Congresses and Conferences France France Retrospective Design Electronic Health Records Cross Sectional Studies ab: Medical assistance to stroke patients must start as early as possible; however, several changes have impacted healthcare services during the Covid-19 pandemic. This research aimed to identify the stroke onset-to-door time during the Covid-19 pandemic considering the different paths a patient can take until receiving specialized care. It is a retrospective study based on process mining (PM) techniques applied to 221 electronic healthcare records of stroke patients during the pandemic. The results are two process models representing the patient's path and performance, from the onset of the first symptoms to admission to specialized care. PM techniques have discovered the patient journey in providing fast stroke assistance. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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