Failures of care coordination and ineffective treatments waste more than US$175 billion in the USA alone. One of the most challenging problems is matching the right clinician to the right patient at the right time. Dizziness and vertigo exemplify this problem. Symptoms may be caused by illnesses that cross multiple medical specialties, requiring evaluations by well-coordinated teams of experts to achieve the best clinical outcomes. This study reviewed the first steps of a large project to automate and optimize scheduling of multi-disciplinary consultations for patients with dizziness at our center using machine learning techniques.
Attendees will be able to discuss how intelligent algorithms can be applied to the automated triage of dizzy patients.
Attendees will be able to explain the process of how to train and validate a machine learning algorithm.
Participants will be able to describe the effectiveness of a commercial algorithm on automated triage of dizzy patients.