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Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today
In this episode, we dive into a first-of-its-kind AI healthcare landscape report built with Gemini and human insight. Based on structured data, stakeholder interviews, and applied LLM analysis, this research identifies what AI solutions are actually in use today and why when deploying AI in healthcare—from the clinic to the boardroom.
We explore:
The top use cases for AI in 2025 across diagnostics, care delivery, operations, and patient engagement
Clinician and hospital pain points: workflow friction, training gaps, EHR overload
Investor signals: where funding is flowing—and where it's not
A breakdown of the "AI Health Stack": Infrastructure, Algorithms, Applications, Ethics
The surprising disconnects between patient expectations and provider adoption
This episode offers a grounded, forward-looking take on which AI solutions are cutting through the hype—and why successful adoption will require more than just great tech.
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By Mike RawsonIn this episode, we dive into a first-of-its-kind AI healthcare landscape report built with Gemini and human insight. Based on structured data, stakeholder interviews, and applied LLM analysis, this research identifies what AI solutions are actually in use today and why when deploying AI in healthcare—from the clinic to the boardroom.
We explore:
The top use cases for AI in 2025 across diagnostics, care delivery, operations, and patient engagement
Clinician and hospital pain points: workflow friction, training gaps, EHR overload
Investor signals: where funding is flowing—and where it's not
A breakdown of the "AI Health Stack": Infrastructure, Algorithms, Applications, Ethics
The surprising disconnects between patient expectations and provider adoption
This episode offers a grounded, forward-looking take on which AI solutions are cutting through the hype—and why successful adoption will require more than just great tech.