
The Beat Trust Is the Foundation of Healthcare AI with Solventum
Mar 2, 2026
Hari Bala, CTO for Health Information Systems at Solventum with 25+ years building scalable AI and data systems in healthcare. He discusses why trust is the foundation for AI adoption, clinical and workflow trust factors, speeding up care without sacrificing quality, cultural shifts needed for safe rollout, and practical use cases that reduce clinician burden and improve patient experience.
AI Snips
Chapters
Transcript
Episode notes
Three Pillars Of Trust Drive AI Adoption
- Trust is multidimensional and essential for AI adoption in healthcare.
- Hari Bala breaks trust into clinical accuracy/explainability, workflow time-savings, and emotional respect for clinician judgment.
Reality Versus Myths About Healthcare AI
- Common misconceptions: AI will replace clinicians, speed must sacrifice quality, and AI is only a tech problem.
- Hari Bala reframes reality: AI augments decision-making, can improve consistency/safety, and is a cultural/management issue.
Clinicians In The Loop During Model Building
- Solventum embeds clinicians throughout model development to prevent hallucinations and ensure accuracy.
- Hari Bala describes using in-house clinicians in pre-prod and prod to fine-tune models and build trust before release.
