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 language | English (US) |
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Title of host publication | MEDINFO 2023 - The Future is Accessible |
Subtitle of host publication | Proceedings of the 19th World Congress on Medical and Health Informatics |
Editors | Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing |
Publisher | IOS Press BV |
Pages | 1378-1379 |
Number of pages | 2 |
ISBN (Electronic) | 9781643684567 |
DOIs | |
State | Published - Jan 25 2024 |
Event | 19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia Duration: Jul 8 2023 → Jul 12 2023 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 310 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Conference
Conference | 19th World Congress on Medical and Health Informatics, MedInfo 2023 |
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Country/Territory | Australia |
City | Sydney |
Period | 7/8/23 → 7/12/23 |
Bibliographical note
Publisher Copyright:© 2024 International Medical Informatics Association (IMIA) and IOS Press.
Keywords
- Decision support
- mortality
- prolonged QT
- survival analysis