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AI spending in healthcare and life sciences is projected to grow from $11.6 billion in 2024 to $19 billion by 2027, with a five-year CAGR of 16.6%, per Gartner. However, a majority of these investments have focused on Gen AI / LLMs which have delivered limited value and ROI in healthcare, comprising a few use cases like Ambient Clinical Intelligence aka “ambient listening”, capturing physicians notes and customer self-service applications.
This presentation will deliver a forward-looking POV on ‘A Portfolio Management Approach to AI in Healthcare’ and present real-world AI enabled use cases in population health management deployed by leading ACOs and IDNs, that have resulted in over 40% reduction in 30-60-90 day re-admissions while saving $ MM in avoidable costs of care, assuring superior patient outcomes for their Medicaid members.
Learning Objectives:
- Describe the portfolio management approach to applying AI in healthcare
- Identify key real-world AI use cases that have been deployed in population health management
- Assess the impact of AI on reducing readmissions, improving patient outcomes, and lowering healthcare costs.
Presenters:
- Evan Huang is the CTO over the clinical intervention & AI product lines for Lightbeam Health.
- Andy De is the CMO for Lightbeam Health
- Mike Hoxter is the CTO over analytics for Lightbeam Health