1. Understand current challenges in machine learning to improve healthcare
2. Recognize how model performance characteristics limit how ML can be integrated into clinical workflow
3. Describe how intelligent user interfaces driven by ML can be leveraged to change user behavior
BIO: Dr. Horng is dual board-certified in emergency medicine and clinical informatics with degrees in computer science and biomedical informatics. He is the Associate Director of Emergency Informatics and Associate Fellowship Director in Clinical Informatics at Beth Israel Deaconess Medical Center. He specializes in translational clinical informatics and focuses his research on novel methods of artificial intelligence to improve the quality and efficiency of emergency care. Specifically, he works on applying state-of-the-art machine learning methods to implement automated information retrieval and targeted decision support at the bedside.