Speakers

Azalea Kim, MD, MBA

Medical Director for Applied Health Data Science, Duke Forge

Azalea Kim MD, MBA, MPA is a primary care physician and Medical Director for Applied Health Data Science and Strategy for Duke Forge, Duke’s center for health data science and Duke Health Technology Solutions. She drives collaboration across Duke to develop and execute strategy for analytics in high value care and to support performance in value-based contracts. She oversees development and application of data science models to ensure alignment with high value care, and provides clinical leadership on development of models related to advance care planning and social determinants of health.
Azalea is a practicing primary care physician who co-directs innovation at Duke Outpatient Clinic, including data-driven design and implementation of advanced primary care models for complex patients with a focus on serious illness planning, behavioral health, and addressing social drivers of health. Azalea has prior management and innovation experience in accountable care organizations and population health management operations.
Azalea received her MD from the Icahn School of Medicine at Mount Sinai, MBA from Harvard Business School, MPA from the George Washington University, and training in Internal Medicine at Duke University Health System. Twitter: @azaleakim.

Speaker Sessions

Getting to Data-Driven Population Health Management: Four Innovative Outliers (Panel)

Few organizations are actively using analytics for population health management (PHM). In this panel, we’ll speak with PHM thought leaders from the ‘innovative outliers’—health systems, payer groups, and other organizations that are leveraging data and analytics in diverse ways to support transformational improvement in care and costs. Discussion may touch on questions such as:

  • What is your approach to using data and analytics to stratify the right patients for the right interventions?
  • What innovation have you done in the end-of-life care space?
  • How is Medicare different? How do you adjust your interventions for this population?
  • How do you think about payer-provider partnerships? How about provider-industry partnerships? Where have you seen these work well in the PHM space?
  • How have your organizations tackled social determinants of health (SDOH)?
  • Have you used machine learning, or seen creative applications of machine learning, in the PHM space?