How a Resident Physician Building AI to Fix Broken Healthcare Contracts

Mar 25, 2026 · 30 min

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Show Notes

In this episode of AI with Bry, we explore what happens when clinical expertise meets entrepreneurial execution in the age of AI.

AI is lowering the barrier to building, but access alone is not the advantage. The real edge comes from proximity to real problems and the willingness to solve them. This conversation reframes AI in healthcare not as external disruption, but as innovation from within—when clinicians closest to the pain points become the builders.

Guest: Daniela Dennis

Daniela Dennis is an emergency medicine resident and Founder of Payscope MD, an AI platform that helps physicians understand and optimize employment contracts. She also hosts the Resident Founder podcast and is author of What Med School Didn’t Teach Me About Money.

As a first-generation college graduate, she works at the intersection of medicine, entrepreneurship, and AI, focused on reducing information asymmetry and empowering physicians with tools they were never given in training. She is not theorizing about problems—she is building while living them.

We explore a major shift in healthcare: builders emerging from inside the system.

Daniela explains how Payscope MD originated from firsthand frustration with physician contracts—complex language, high legal costs, and lack of transparency at critical career moments. AI became the bridge to simplify and unlock understanding.

A key insight: AI is only as strong as the data it learns from. In healthcare, much of that data is fragmented or locked in systems and contracts, creating opportunity for domain experts to build better tools through real-world exposure.

We also discuss how AI is already transforming clinical workflows—documentation, dictation, radiology, and patient monitoring. While efficiency gains matter, the biggest impact is time: giving clinicians back attention for patients.

Daniela emphasizes that AI is not replacing physicians—it is augmenting them. But it introduces new challenges as patients increasingly rely on AI-generated medical information, increasing the need for clinician interpretation and guidance.

On the builder side, the barrier to entry has dropped significantly. With modern AI tools, clinicians without technical backgrounds can now prototype, validate, and launch products. This is enabling a new wave of physician entrepreneurs.

We also explore how physicians must shift from passive adoption to active participation—building tools, shaping workflows, and educating patients. Leadership in healthcare is expanding beyond clinical care into creation and communication.

AI in healthcare will not be defined only by institutions or external startups. It will be shaped by clinicians who choose to engage, build, and lead.

What You’ll Learn:

• AI lowers the barrier to building, not the need for insight

• Clinicians are becoming builders within the system

• Healthcare data gaps create opportunity for domain experts

• AI improves workflows and returns time to patients

• Patients are influenced by AI-generated medical information

• Human oversight remains critical in medical decisions

• Entrepreneurship is now more accessible to physicians

• AI tools enable rapid prototyping (“vibe coding”)

• Trust and credibility are evolving in healthcare

• Leadership now includes building and educating with AI

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