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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Pages (from-to) | 1378-1379 |
Number of pages | 2 |
Journal | Studies in health technology and informatics |
Volume | 310 |
DOIs | |
State | Published - Jan 25 2024 |
Keywords
- Decision support
- mortality
- prolonged QT
- survival analysis
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management