Using the Electronic Medical Record to Identify Patients at High Risk for Frequent Emergency Department Visits and High System Costs

Machine learning techniques can be applied to analyze free text contained in electronic medical records. This dataset is more predictive of patients who will generate future high costs than future emergency department visits. It remains to be seen whether these predictions can be used to reduce costs by early interventions in this cohort of patients.