Risk Never Sleeps – Episode #155

Healthcare’s AI Inflection Point: Why Everything Is About to Accelerate
Guest: Nilesh Bhandari, Chairman & CEO, Advanced Health Academy
Host: Ed Gaudet (joined by Saul, co-host, and Mark Gaudet)
Date: December 9, 2025

Episode Overview

This episode dives into the accelerating transformation of healthcare through artificial intelligence, focusing on why the industry has reached an AI “inflection point.” Host Ed Gaudet and co-host Saul are joined by Nilesh Bhandari, a serial healthcare entrepreneur and Chairman & CEO of Advanced Health Academy. Together, they explore how AI’s application in medicine is shifting from slow, fragmented adoption to an era of widespread excitement, practical deployments, and clinician-led innovation. The discussion is filled with insights on effective use of data, efficiency hurdles, new AI tools—and the real risks and rewards of this next phase.

Key Discussion Points & Insights

1. The Unprecedented Buzz and Participation Around Healthcare AI

[01:31–03:47]

• Nilesh’s Take:
  • For the first time, excitement about AI in medicine is driving innovation at every level, “not just at the level of the innovator or the AI scientist, but all the way up to the boardroom.”
  • Unlike the past, multiple groups (clinicians, executives, scientists) are now collectively pushing boundaries and sharing knowledge.
• Memorable Moment:
  • Nilesh describes the “yin and yang” of clinicians and AI scientists finally “digging into” model development together, rather than talking past one another.

2. Efficiency Stagnation in the EHR Era and the Promise of AI

[04:00–06:21]

• Eye-Opening Statistic:
  • “Over the last generation—20 years—we’ve lived in the EHR era… and the efficiency gains [in healthcare] have been negative.” (Nilesh, [04:28])
  • While other industries saw efficiency gains up to 15% annually, healthcare experienced net losses, partly because digital records remained disconnected from workflow improvement.
• Path Forward:
  • Foundational investments in EHR are now enabling rapid, AI-driven workflow improvements.
  • "Now every clinician, based on their specialty, should have a very specific view... to make their job that much easier and faster." (Nilesh, [05:55])

3. The Personalized, Adaptive Future of Medical Practice

[06:21–07:54]

• By 2030, clinicians will interact with a healthcare system that adapts to and learns from their individual behaviors, bringing personalization and efficiency.
• Quote:
  • "All growth in nature is exponential. It may appear linear, but it’s all exponential. And we are..." (Nilesh, [07:54])
  • Ed and Saul immediately call this the “quote of the event.”

4. Exponentially Accelerating AI Innovation—Inside and Outside Healthcare

[08:07–09:06]

• The pace of change is highlighted by improvements in domains like AI video generation:
  • “Three years ago, [AI-generated] solutions were substandard, awful... today, we’re way closer than we’ve ever been.” (Nilesh, [08:30])

5. Nilesh’s Companies: Real-World AI Tools for Patient Safety

[09:12–13:23]

a. Advanced Health Academy: Demystifying Lab Results with Deterministic Algorithms

• Created tools that analyze lab results, providing demographic-based, standardized explanations for patients and actionable, consolidated data for clinicians.
• Quote:
  • “Our biggest algorithm… is looking at lab results and providing a comprehensive but demographics-based interpretation… not just based on the individual provider.” (Nilesh, [09:53])
• Impact: Patients better engage in care; providers see cross-panel data easily; diagnosis coding and reimbursement accuracy improve.
• Example: Surfacing ICD-10 codes automatically helps ensure full documentation and correct billing—an efficiency win for health systems.

b. Drug-Lab Interaction Checking

• Addresses the gap: “Why is there no drug-lab check?” (Nilesh, [12:37])
• Combines recent lab results and drug prescribing for better safety, avoiding alert fatigue by emphasizing relevant warnings.

6. The Bigger Picture: Deterministic AI Models, Risk, and Whole-Person Care

[13:43–16:03]

• Strong focus on “chain of reasoning” to ensure AI outputs are transparent and reliable (against hallucinations or model drift).
• At Thymos Health, Nilesh is building multidisciplinary, AI-driven care teams for autoimmune diseases:
  • “It is the only specialist for autoimmune care that cuts across all 150 autoimmune diseases. In autoimmune… there's no quarterback of the situation. That’s what our CEO has done for 15 years... We've created all the wraparound care.” (Nilesh, [14:45])
• The challenge: integrating clinical, psychological, emotional, and epigenetic insights in real-time—a massively complex but necessary endeavor.

7. The Lightning Round: Memorable Personal Insights

[16:18–20:16]

a. When Did AI Hit the Mainstream?

• Nilesh: “The thing that changed three years ago was, I think, LLMs and what that meant for the world and the openness to it... The acceptance and the usage has just been accelerating.” ([16:39–17:15])
• Most profound sign: "My parents are asking me about AI. That was the moment I said, wait a minute." (Nilesh, [17:20])

b. Riskiest Thing Done?

• Kitesurfing in Tarifa, Spain, as a way to overcome fear of heights.
  • “If you get the right gust...when I get that fear of heights, I tense up—which is the exact opposite of what you want to do.” (Nilesh, [18:28])

c. Advice for Younger Self:

• “Don't be in a rush, take your time... Think of [your journey] in terms of decades... and to keep taking more risks along the way because that's how we learn." (Nilesh, [19:05])

d. Desert Island Albums:

• “Zeppelin IV, Ed Sheeran’s ‘Play’... Bollywood soundtrack... something EDM, probably Afrobeats.” (Nilesh, paraphrased from [19:36–20:16])

Standout Quotes & Key Timestamps

• “For the first time… excitement about innovating in AI in medicine… at every level… let’s go try a number of things.” – Nilesh Bhandari [01:31]
• “Over the last 20 years, the efficiency gains [in healthcare] have been negative.” – Nilesh Bhandari [04:28]
• “All growth in nature is exponential. It may appear linear, but it’s all exponential.” – Nilesh Bhandari [07:54]
• “Patients can finally understand what the lab results mean… that’s a huge win for the consumers.” – Ed Gaudet [10:32–10:53]
• “My parents are asking me about AI. That was the moment I said, wait a minute.” – Nilesh Bhandari [17:20]

How to Connect

• Contact Nilesh: nilesh@healthacademy.com | LinkedIn (“not that many Nilesh Bhandaris out there!”) [21:05]

Final Thoughts

The episode gives an energizing, insider’s perspective on how healthcare is past its digital “foundation-building” days and entering an age of exponential AI-driven improvement—led by clinicians, operational leaders, and technologists working together. It highlights both the technical advances (from deterministic algorithms to ambient data integration) and the vital cultural shift now permeating the industry.

If you want to understand or help steer the next wave of healthcare innovation, this episode is a must-listen.