Quality Improvement in the Preoperative Evaluation: Accuracy of an Automated Clinical Decision Support System to Calculate CHA<sub>2</sub>DS<sub>2</sub>-VASc Scores.

van Giersbergen, Chantal; Korsten, Hendrikus H M; De Bie Dekker, Ashley J R; Mestrom, Eveline H J; Bouwman, R Arthur

Quality Improvement in the Preoperative Evaluation: Accuracy of an Automated Clinical Decision Support System to Calculate CHA₂DS₂-VASc Scores.

van Giersbergen, Chantal; Korsten, Hendrikus H M; De Bie Dekker, Ashley J R; Mestrom, Eveline H J; Bouwman, R Arthur.

Afiliación

van Giersbergen C; Department of Anesthesiology, Pain Medicine and Intensive Care, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands.
Korsten HHM; Department of Anesthesiology, Maastricht University Hospital, 6229 HX Maastricht, The Netherlands.
De Bie Dekker AJR; Department of Anesthesiology, Pain Medicine and Intensive Care, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands.
Mestrom EHJ; Department of Signal Processing Systems and Electrical Engineering, Signal Processing Systems TU/e University of Technology, 5612 AZ Eindhoven, The Netherlands.
Bouwman RA; Department of Anesthesiology, Pain Medicine and Intensive Care, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands.

Medicina (Kaunas) ; 58(9)2022 Sep 13.

Article en En | MEDLINE | ID: mdl-36143945

Asunto(s)

Fibrilación Atrial; Sistemas de Apoyo a Decisiones Clínicas; Accidente Cerebrovascular; Técnicas de Apoyo para la Decisión; Humanos; Valor Predictivo de las Pruebas; Mejoramiento de la Calidad; Estudios Retrospectivos; Medición de Riesgo; Factores de Riesgo; Accidente Cerebrovascular/prevención & control

Palabras clave

CHA2DS2-VASc; decision support system; perioperative screening; quality

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Fibrilación Atrial / Sistemas de Apoyo a Decisiones Clínicas / Accidente Cerebrovascular Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Medicina (Kaunas) Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

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