The Institute of Medicine estimates that diagnostic errors affect 12 million Americans every year. More accurate and efficient tools for doctors to better handle and analyze data could greatly reduce that number. Every time a doctor sees a patient, they are solving a complex data problem. The goal of each case is to arrive at an optimal diagnostic decision based on many forms of clinical data.
Let’s listen as Kevin Lyman from Enlitic talks about how his history as a championship gamer and toy designer has led him to using deep learning to find medical insights from billions of clinical cases that will help doctors handle patient data more efficiently and successfully. Ultimately bringing better care and outcomes to millions of patients.
Pediatricians are realizing that tech tools such as wearable devices can help form a communication bridge to reluctant patients. Juan Espinoza, MD, FAAP, Attending Physician and Assistant Professor of Clinical Pediatrics at Children’s Hospital of Los Angeles and the Keck School of Medicine of USC believes that using tech tools and medium (such as social media) that young patients are familiar with or excited about is potentially the way to better care and improved outcomes, especially for those who have been traditionally resistant to treatment.