A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.

Tzu-Chun WuAbraham KimChing-Tzu TsaiAndy GaoTaran GhumanAnne PaulAlexandra CastilloJoseph ChengOwoicho AdogwaLaura B NgwenyaBrandon ForemanDanny T Y Wu

Published in: Applied clinical informatics (2024)

This study reports the successful development and simulation of an ML-based approach for predicting and reducing 30-day hospital readmissions in neurosurgery. The intervention shows feasibility in improving patient outcomes and reducing financial losses.

Keyphrases

machine learning
adverse drug
healthcare
acute care
quality improvement
virtual reality
emergency department
big data