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Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay

Kiran Kittur et al.

Journal of Healthcare Management2025https://doi.org/10.1097/jhm-d-23-00252article
ABDC C
Weight
0.37

What the paper says

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.

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https://doi.org/https://doi.org/10.1097/jhm-d-23-00252

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@article{kiran2025,
  title        = {{Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay}},
  author       = {Kiran Kittur et al.},
  journal      = {Journal of Healthcare Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1097/jhm-d-23-00252},
}

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Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.