Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay

Keyphrases

• Length of Hospital Stay 100%
• Hospital Discharge 100%
• Multidisciplinary Rounds 100%
• Machine Learning Based 100%
• Discharge Prediction 100%
• Performance Prediction 42%
• Prediction Model 42%
• Inpatient Unit 28%
• Access to Care 14%
• Length of Stay 14%
• Quality of Care 14%
• Predictive Value 14%
• Area under the Receiver Operating Characteristic Curve 14%
• Electronic Health Records 14%
• Telemetry 14%
• Acute Kidney Injury 14%
• Same-day 14%
• Specific Model 14%
• Hospitalized Patients 14%
• Predictive Models 14%
• Financial Performance 14%
• Electronic Health Record Data 14%
• Surgery Department 14%
• Patient Flow 14%
• Patient Discharge 14%
• Interrupted Time Series 14%
• Model Features 14%
• Mobility Metric 14%
• Real-time Electronics 14%
• Time Series Methods 14%
• Mobility Assessment 14%
• Access Performance 14%
• Avoidable Delay 14%
• Predictive Impact 14%
• Next Day Prediction 14%

Medicine and Dentistry

• Medicine 100%
• Electronic Health Record 100%
• Acute Kidney Injury 50%
• Time Series Analysis 50%
• Unit Surgery 50%

Nursing and Health Professions

• Length of Stay 100%
• Hospital Discharge 100%
• Electronic Health Record 33%
• Predictive Value 16%
• Receiver Operating Characteristic 16%
• Time Series Analysis 16%
• Acute Kidney Failure 16%