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Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques.
Leandro, Gabrielle Dos Santos; Miura, Daniella Yuri; Safanelli, Juliana; Borges, Rafaela Mantoan; Moro, Cláudia.
  • Leandro GDS; Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
  • Miura DY; Joinville Stroke Registry, Joinville, Brazil.
  • Safanelli J; Lehigh University, Bethlehem, EUA.
  • Borges RM; Joinville Stroke Registry, Joinville, Brazil.
  • Moro C; Lehigh University, Bethlehem, EUA.
Stud Health Technol Inform ; 294: 48-52, 2022 May 25.
Article in English | MEDLINE | ID: covidwho-1865413
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stroke / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220394

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stroke / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220394