Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay
This work is uniquely innovative as it shows AI can be integrated into traditional interdisciplinary rounds and enable accelerated decision-making, continuous monitoring, and real-time alerts. ICU throughput has traditionally relied on direct review of a patient's clinical course executed during clinical rounds. Our methodology adds a dynamic and technologically augmented touchpoint that is available in real time and can prompt a transfer request at any time throughout the day.
Authors
- Kristen Salomon (ORCID: https://orcid.org/0000-0002-8571-9510)
- Lal Bahadur Roy (ORCID: https://orcid.org/0000-0003-4209-6007)
- Jennifer Glover (ORCID: https://orcid.org/0000-0002-8535-5198)
- Torben E. Lund (ORCID: https://orcid.org/0000-0002-9002-4676)
- Keith Dombrowski
- Anish Patel (ORCID: https://orcid.org/0000-0002-1880-7991)
- Karen Fugate
- Kiran Kittur
- Clint Chiodo
Institutions
- University of South Florida (US)
- Tampa General Hospital (US)
Publication Details
- Journal
- Journal of Healthcare Management
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1097/jhm-d-23-00252
- Citations
- 1
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.25