Podnosis A pulse check on AI adoption in healthcare
May 21, 2025
Sofia Guerra, Vice President at Bessemer Venture Partners, delves into the transformative potential of AI in healthcare. While over 80% of leaders express optimism about AI's impact on clinical decision-making, only 30% of projects reach production. The conversation highlights the urgent need to address barriers like talent shortages and security concerns. Guerra also discusses the rise of AI scribes and their limited ROI, alongside strategies for startups to maximize impact in a complex landscape. The future looks promising, yet challenges remain.
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Early AI Adoption Phase
- AI adoption in healthcare is in the early experimentation phase with excitement replacing skepticism.
- Over 80% see AI transforming clinical decision-making, but most projects remain pilots.
Faster AI Adoption Than EHR
- AI adoption in healthcare is happening faster than EHR with providers leading due to daily pain points.
- Recent advancements in large language models greatly improved AI scribe quality and uptake.
Tackle Scaling Barriers Early
- Prioritize early security planning and system integration when scaling AI solutions beyond pilots.
- Ensure internal AI talent for explainability and change management to facilitate adoption.