AIMC Topic: Length of Stay
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Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.
Nature medicine
Apr 2, 2025
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-time nursing surveillance documentation patterns in its machine learning algorithm to identify deterioration risk. We conducted a 1-year, multisite, pr...
A comparative study of neuro-fuzzy and neural network models in predicting length of stay in university hospital.
BMC health services research
Mar 27, 2025
BACKGROUND: The time a patient spends in the hospital from admission to discharge is known as the length of stay (LOS). Predicting LOS is crucial for enhancing patient care, managing hospital resources, and optimizing the use of patient beds. Therefo...
Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay.
Journal of healthcare management / American College of Healthcare Executives
Mar 6, 2025
GOAL: Efficient patient flow is critical at Tampa General Hospital (TGH), a large academic tertiary care center and safety net hospital with more than 50,000 discharges and 30,000 surgical procedures per year. TGH collaborated with GE HealthCare Comm...
Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning.
Cardiovascular diabetology
Feb 28, 2025
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atherosclerosis and cardiovascular risk. However, its potential role in predicting length of stay (LOS), especially in patients with atherosclerotic cardiovascular...
Decision Support Techniques
Databases, Factual
Biomarkers
Prognosis
Intensive Care Units
Female
Risk Factors
Retrospective Studies
Critical Illness
Humans
Machine Learning
Cholesterol, HDL
Triglycerides
Length of Stay
Time Factors
Predictive Value of Tests
Aged
Atherosclerosis
Male
Middle Aged
Risk Assessment
Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury.
Spinal cord
Feb 15, 2025
STUDY DESIGN: Retrospective cohort study.
Developing a Novel Artificial Intelligence Framework to Measure the Balance of Clinical Versus Nonclinical Influences on Posthepatectomy Length of Stay.
Annals of surgical oncology
Feb 5, 2025
BACKGROUND: Length of stay (LOS) is a key indicator of posthepatectomy care quality. While clinical factors influencing LOS are identified, the balance between clinical and nonclinical influences remains unquantified. We developed an artificial intel...
A novel artificial intelligence framework to quantify the impact of clinical compared with nonclinical influences on postoperative length of stay.
Surgery
Jan 31, 2025
BACKGROUND: The relative proportion of clinical compared with nonclinical influences on length of stay after colectomy has never been measured. We developed a novel machine-learning framework that quantifies the proportion of length of stay after col...
Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.
The spine journal : official journal of the North American Spine Society
Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model.
BMC oral health
Jan 30, 2025
BACKGROUND: Postoperative fever (POF) is a common occurrence in patients undergoing major surgery, presenting challenges and burdens for both patients and surgeons yet. This study endeavors to examine the incidence, identify risk factors, and establi...
Development and Validation of Machine Learning-Based Model for Hospital Length of Stay in Patients Undergoing Endovascular Interventional Embolization for Intracranial Aneurysms.
World neurosurgery
Jan 27, 2025
OBJECTIVE: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning...
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