A Common Longitudinal Intensive Care Unit data Format (CLIF) to enable multi-institutional federated critical illness research.
Juan C RojasPatrick G LyonsKaveri ChhikaraVaishvik ChaudhariSivasubramanium V BhavaniMuna NourKevin G BuellKevin D SmithCatherine A GaoSaki AmagaiChengsheng MaoYuan LuoAnna K BarkerMark NuppnauHaley BeckRachel BaccileMichael HermsenZewei LiaoBrenna Park-EganKyle A Careynull XuanHanChad H HochbergNicholas E IngrahamWilliam Fiske ParkerPublished in: medRxiv : the preprint server for health sciences (2024)
CLIF facilitates efficient, rigorous, and reproducible critical care research. Our federated case studies showcase CLIF's potential for disease sub-phenotyping and clinical decision-support evaluation. Future applications include pragmatic EHR-based trials, target trial emulations, foundational multi-modal AI models of critical illness, and real-time critical care quality dashboards.
Keyphrases
- electronic health record
- clinical decision support
- intensive care unit
- study protocol
- clinical trial
- high throughput
- artificial intelligence
- phase iii
- current status
- mechanical ventilation
- phase ii
- randomized controlled trial
- cross sectional
- quality improvement
- machine learning
- open label
- clinical evaluation
- double blind