MIMIC: Predicting 30-day re-admission rates from EHR data
Unexpected 30-day readmission rates are very costly for hospitals and patients both in terms of healthcare costs and patient outcomes. Identifying patients that may be at risk for bounce-back is important for improving patient outcomes and reducing the burden of cost for these unplanned visits, for both patients and hostpitals.