Healthcare providers managing front line emergencies face the decision on a daily, if not hourly basis, of whether to place a patient under observation or whether to admit them as an inpatient. Accuracy in making this determination is vital to patient care as well as the time spent on utilization reviews, denials of claims, and reimbursement rates. In this session, we will explore how organizations are using data analytics and machine learning to aid staff in determining the right course of action.
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Quickly assessing and determining a patient’s status in the emergency room is vital to the success of the patient and the organization. Find out how data-driven decision making is enabling faster and more accurate predictions
Colleen Hall, Crowe