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Reducing Cognitive Burden in Primary Care with Artificial Intelligence (Webinar)

The ACP Tech Hub introduces internists to new digital health technologies that seek to improve clinical care or practice operations.

October 12, 2021, 2:00-3:00 pm ET (via webinar)

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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

Yair Lewis, MD, PhD
VP Medical, Navina

Tabassum Salam, MD, MBA, FACP
Chief Learning Officer, Christiana Care

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This webinar is sponsored by Navina, a leading AI-powered patient data platform for primary care. Navina is responsible for the content and statements of presenting speakers. ACP’s hosting of this program does not imply endorsement of the sponsor or its services.