Machine learning algorithm for predicting the risk of ICU readmission
Machine learning algorithm for predicting the risk of ICU readmission within 48 hours of initial ICU discharge
- Clinical Condition
- ICU patient could be discharged prematurely.
- Inadequate levels of monitoring and interventions.
- Preventable clinical deterioration, increased mortality, morbidity and healthcare costs.
- Current Practice
- Care team makes all readmission decisions.
- NO generally accepted decision algorithm for re-admissions to the ICU at MGH.
- Decision parameters are subjective and variable.
- Solution
- We propose to develop a machine algorithm based on MGH and BWU ICU data from 61,184 of patients from the last five years.
- Determine the predictors of readmission.
- Build a ML algorithm to predict patients at risk for readmission based on the vast previous data.
