Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality

Pedro J. Caraballo, Johan M. Bos, Ray Qian, Karen M. Fischer, Paul J. Johnsen, Diana J. Schreie, Gyorgy Simon, Michael J. Ackerman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Prolonged QT interval is an independent risk factor for all-cause mortality. However, evaluation of mortality associated to the implementation of a clinical decision support system to increase awareness and provide management recommendations has been challenging. Here we present our attempt to develop a model using only electronic data and different control groups.

Original languageEnglish (US)
Title of host publicationMEDINFO 2023 - The Future is Accessible
Subtitle of host publicationProceedings of the 19th World Congress on Medical and Health Informatics
EditorsJen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
PublisherIOS Press BV
Pages1378-1379
Number of pages2
ISBN (Electronic)9781643684567
DOIs
StatePublished - Jan 25 2024
Event19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia
Duration: Jul 8 2023Jul 12 2023

Publication series

NameStudies in Health Technology and Informatics
Volume310
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference19th World Congress on Medical and Health Informatics, MedInfo 2023
Country/TerritoryAustralia
CitySydney
Period7/8/237/12/23

Bibliographical note

Publisher Copyright:
© 2024 International Medical Informatics Association (IMIA) and IOS Press.

Keywords

  • Decision support
  • mortality
  • prolonged QT
  • survival analysis

Fingerprint

Dive into the research topics of 'Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality'. Together they form a unique fingerprint.

Cite this