Learn how to reduce cognitive burden in primary care using AI
Too much patient data can be overwhelming. As interoperability, remote monitoring, and patient-generated data make growing amounts of data available from a wide range of sources, physicians can feel burdened by yet another technological change to the practice of medicine. How can the data work for you, instead of becoming another barrier to optimal patient care?
Artificial Intelligence can help reduce the burden on physicians by transforming scattered patient data into an intuitive summary - delivering much-needed insights at the point of care. A good AI-supported system can present physicians with what matters most, based on the entirety of each patient's data and history - organized categorically, for easy review and discovery.
This webinar will offer insights into AI’s impact on diagnosis and care, physician satisfaction, revenue and value-based outcomes.Join our distinguished panel of speakers to:
Learn about the causes of cognitive burden at the point of care and how they can be reduced through AI
Discover a revolutionary way of looking at patients - beyond EMRs
Dive into how AI works to make sense of data
Hear first-hand how clinical teams at Beth Israel Lahey Health are using AI for chart review
Julia Adler-Milstein, PhD
Professor of Medicine, Director of the Center for Clinical Informatics and Improvement Research (CLIIR), UCSF
Nancy Cibotti, MD
Chief Innovation Officer, Beth Israel Lahey Health Primary Care