The Beat Turning Price Transparency into Strategy with Dilpreet Sahota, CEO and Founder of Trek Health
What if the biggest opportunity in healthcare reimbursement is finally having a clear view of what “fair” actually looks like?
In this episode, Dilpreet Sahota, CEO and founder of Trek Health, discusses how his company is helping health systems and health plans turn price transparency data into a strategic tool for payer negotiations. He explains why publicly available reimbursement data is still difficult to use in practice, how AI can simplify both massive pricing datasets and highly complex payer contracts, and why providers need a clearer benchmarking strategy as reimbursement pressures continue to shift. He also shares his perspective on trust, validation, and explainability in AI, along with a future vision in which providers negotiate with greater clarity, and patients can better predict the true cost of care before receiving services.
Tune in to learn how better reimbursement intelligence could reduce friction, strengthen negotiation strategy, and increase transparency for both providers and patients.
About Dilpreet Sahota:
Dilpreet Sahota is the CEO and founder of Trek Health, a company focused on building healthcare payment products that help organizations better understand reimbursement, contracts, and market benchmarks. Since founding Trek Health in 2022, he has worked to make price transparency data more usable for healthcare finance leaders and provider organizations navigating payer negotiations.
Before launching Trek Health, Dilpreet held roles across healthcare growth, analytics, operations, and research, including work at Big Health, Health IQ, Massachusetts General Hospital, and Stanford University School of Medicine. He holds an M.Sc. from Stanford University and a B.A. from the University of California, Berkeley.
Things You’ll Learn:
- Price transparency data is now public, but it is still difficult for providers and payers to access and use strategically.
- AI can help sift through massive pricing datasets and extract key terms from payer contracts in seconds rather than hours.
- Providers need plan-specific reimbursement strategies instead of treating all payer relationships the same way.
- Trust in AI depends on validation, sourcing, auditability, and the ability to trace outputs back to underlying truth.
- Lower-cost outpatient alternatives will likely play a major role in reducing total cost of care over the next decade.
- A more mature transparency ecosystem could help patients predict healthcare costs much more accurately before treatment.
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