Boombostic Health

Summary

Healthcare is racing to be "AI ready." But most of the industry is still trying to turn billing exhaust into strategy.

In this episode, Bradley Bostic sits down with Ryan Leurck, Co-Founder & Chief Analytics Officer at Kythera Labs, to cut through the noise and get blunt about what actually makes AI work in healthcare.

Because the truth is simple—and uncomfortable:
If your data can't be trusted by humans, it can't be trusted by AI.
And in healthcare, much of our data was never designed for the questions we're now demanding it answer.

Takeaways

• Why claims, EHR, and lab data weren't built for strategy—and how that limits AI.
• The risk of modern AI: "AI is not always right, but it always sounds sure."
• Why healthcare data is still optimized for coding and billing, not predictive insight.
• Kythera's mission to "reduce the uncertainty in the use of healthcare data."
• How leaders should think about "AI ready" without falling for hype.
• The reality of claims: a "big bag of receipts" that can mislead without expert context.
• Why data quality and missingness matter as much as the data you do have.
• A practical vision for AI inside provider orgs: agents that function like analysts/interns, not decision-makers.

 

Chapters

00:00 Introduction to AI in Healthcare
01:23 Ryan Leurck's Journey from Aerospace to Healthcare
03:22 The Current AI Landscape and Its Misconceptions
06:54 Kythera Labs: Reducing Uncertainty in Healthcare Data
11:13 Challenges of Healthcare Data and AI Integration
18:03 Opportunities for AI in Healthcare
22:52 Kythera's Target Audience and Solutions
27:41 The Role of AI in Operational Efficiency
31:18 Data Privacy and Accessibility in Healthcare
34:30 The Future of AI in Healthcare

 

Keywords

AI, healthcare, data analytics, machine learning, healthcare technology, Kythera Labs, artificial intelligence, data quality, healthcare providers, operational efficiency

 

Summary

By the time most people hear "dementia," their brain has been sounding the alarm for years.

In this episode of Boombostic Health, Dr. John Showalter shares his journey from internist to healthcare technology innovator. He explains how AI and digital tools can support early detection and intervention for cognitive decline—before daily life starts to fall apart.

The conversation highlights how lifestyle changes can improve cognitive health, why screening the brain should be as routine as checking blood pressure, and how integrating technology into healthcare systems can scale better outcomes. Real-life success stories show what's possible when you catch problems early and give people a path to act.

Takeaways

• Dr. Showalter's journey from medicine to healthcare technology is inspiring.

• AI can enhance caregiver efficiency and patient care.

• Early detection of cognitive decline is crucial for effective intervention.

• Lifestyle changes can significantly impact cognitive health.

• Integration of technology into healthcare systems is essential for scalability.

• Personalized brain health action plans can improve patient outcomes.

• Social isolation and loss of purpose are key factors in cognitive decline.

• Real-life success stories demonstrate the effectiveness of early intervention.

• Healthcare innovation requires collaboration between technology and clinical expertise.

• The future of cognitive health lies in proactive, lifestyle-based approaches.

 

Chapters
00:00 Innovating Healthcare: A Journey into Technology
02:39 The Role of AI in Patient Care
05:34 Cognitive Health: Early Detection and Intervention
08:24 Lifestyle Changes and Cognitive Decline
11:07 Integrating Technology into Healthcare Systems
14:08 The Future of Cognitive Health and AI
17:03 Real-Life Success Stories in Cognitive Health

About Dr. Showalter
Dr. John Showalter is an internist and clinical informatics leader who has been obsessed with the data side of care since his first DNA research job at 14. Trained in biomedical engineering and medical informatics, he went on to lead major EHR implementations and build a state-of-the-art analytics center from a $0 to $6.5M budget, earning a Premier 100 IT Leaders award along the way. Today, he focuses on turning complex data and AI into practical tools clinicians actually use, helping detect disease earlier and improve patient outcomes at scale.

Resources

• Linus Health – digital cognitive assessment and brain health platform: https://www.linkedin.com/company/linus-health/posts/?feedView=all

• Connect with Dr. John Showalter on LinkedIn: https://www.linkedin.com/in/johnshowaltermd/

• Boombostic Health podcast – more episodes on AI, diagnostics, and the future of care: https://www.boombostichealth.com/podcast

Tags
healthcare innovation, artificial intelligence, cognitive health, early detection, lifestyle changes, patient care, technology integration, healthcare systems, dementia, health tech

We talk a lot about "data-driven healthcare," yet we're still blind to one of the most important data layers: the microbiome.

Mental health, early-onset cancer, autoimmunity—much of that risk is already visible in the gut years before a diagnosis code ever hits the chart. Most care models, benefits designs, and longevity strategies simply don't account for it.

In this episode of Boombostic Health, I sit down with Paul Denslow, CEO & co-founder of Intus Bio, to dig into how GutID turns the microbiome into hard infrastructure: high-resolution gut data, a score you can track, and a way to see whether your interventions are actually moving risk—not just spend.

In this episode, we cover:

• Why microbiome disruption often precedes mental health issues and cancer

• How GutID converts millions of bacterial data points into a single, trackable gut score

• Why behavioral health and functional practitioners have been early adopters

• The problem with "just take a probiotic" in the absence of baseline gut data

• How AI + high-resolution microbiome testing open a real prevention window

• What a serious prevention and longevity strategy looks like when gut data is included

If you're responsible for care delivery, benefits strategy, or long-term risk, ignoring this data layer is no longer a neutral decision.

Watch the full conversation to see why mental health, cancer, and your "bacterial you" belong at the center of modern prevention.

 

About our guest:

Paul Denslow is the CEO and co-founder of Intus Bio, the company behind GutID. With a background in finance and big data, Paul partnered with co-founder Mark Driscoll, a pioneer in next-generation sequencing, to build a platform that treats the microbiome as a hard data problem—not a mystery. Intus Bio's GutID test and Titan 1 platform are used by clinicians and practitioners to generate high-resolution microbiome data that can be translated into actionable prevention and disease insights.

Links & Resources:

Learn more about GutID: https://www.gutid.com/collections/all

Learn more about Intus Bio: https://www.intusbio.com/gutid

Watch more Boombostic Health episodes: https://www.boombostichealth.com/podcast

Virtual care is scaling. AI is everywhere.   But when lab completion falls from ~70% in-clinic to ~30% in virtual care, the whole model breaks. Virtual Care Without Labs Is Just Zoom - Even with AI.   In this Boombostic Health in the Wild episode from HLTH 2025, Bradley Bostic sits down with Maitham Dib, founder of Junction, to unpack the "real" bottleneck: turning lab orders into lab results.   They dig into how Junction:   * White-labels lab infrastructure so any virtual or hybrid care model can deploy labs across all 50 states   * Uses data from ~3.4 million lab tests annually to model what actually drives lab completion   * Dynamically routes patients across PSC visits, at-home kits, and at-home phlebotomy - based on real-world behavior   * Plugs into telehealth and AI agents that still need working diagnostic rails to be useful   Chapters     00:00 – Lab in the basement, but core to care   02:00 – 70% in-clinic vs. ~30% virtual: the lab completion cliff   03:30 – Junction's white-label "Amazon-style" lab experience   06:30 – Three modalities: PSC, at-home kits, at-home phlebotomy   08:20 – "Where is the software actually?" Models on 3.4M lab tests   09:40 – Doctors, AI agents, and the diagnostic infrastructure layer   11:00 – Telehealth, pharma, and diagnostics as a new access door   12:40 – Business model: a new cost in a system that hates new costs   Key Takeaways   * Virtual care without completed labs is just Zoom. When fulfillment drops from ~70% in-clinic to ~30% in virtual, diagnosis and revenue leak out.   * The real AI bottleneck is diagnostics.Agents and navigation tools only work if they can talk to lab infrastructure that actually gets tests done.   * Infrastructure beats slogans.White-labeled, data-driven lab rails that convert orders to results are where virtual care and AI either succeed—or quietly fail.   #boombostichealth #virtualcare #telehealth #digitalhealth #digitalhealthcare #healthcareinnovation #aiinhealthcare #patientcare #valuebasedcare #healthcare

Virtual care isn't a feature. It's the future care model nobody in healthcare wants to admit is already here.

At HLTH 2025, we sat down with Michael Dalton, CEO and founder of Ovatient, to unpack the real story behind why rural and urban patients alike are falling through the cracks and how Ovatient built the first truly integrated virtual multi-specialty practice on Epic.

This conversation exposes three uncomfortable truths in healthcare:

1. Access is still broken. Millions delay care because transportation, work schedules, stigma, or geography get in the way.

2. Telemedicine wasn't enough. Single-visit, transactional virtual care doesn't build trusted relationships, close care gaps, or keep patients inside a system of care.

3. Health systems are missing billions in preventable leakage. Ovatient's "digital health home" model quietly fixes that.

Dalton breaks down why:
• A virtual-first care model that's integrated directly into Epic makes specialists accessible within hours, not months
• 95% of patients can be supported at home while still remaining inside their health system
• Weight management, behavioral health, primary care, and specialty care all operate seamlessly across one unified patient journey
• Virtual care isn't cannibalizing brick-and-mortar — it's expanding the funnel

If you care about access, equity, referral management, or the economics of keeping patients connected to a system of care… this episode will challenge everything you think you know about "telemedicine."

Ovatient isn't building a digital front door. They're building the digital health home. And it's changing the game.

 

🎧 Listen now and rethink everything you thought "virtual care" meant.

 

Chapters

00:00 Introduction to Ovatient and Its Purpose

01:49 The Virtual Multi-Specialty Care Model

05:36 Integration with Health Systems

09:19 Building Trust in Healthcare

12:29 Closing Care Gaps with E-Consults

AI will accelerate healthcare — but genomics will rewrite it. The minute DNA drives care decisions for everyone, the current system becomes obsolete.

Gene by Gene quietly runs one of the most advanced, high-throughput genomics labs in the world — powering platforms like MyHeritage and rapidly transforming clinical medicine, oncology, pharmacogenomics, and ancestry. 

This conversation explores what happens when every person leaves the hospital with a genomic passport — a lifelong DNA profile they own, control, and use to prevent disease before it begins. This is preventive medicine at scale. Not someday — now.

What You'll Learn

- Why the genomics industry just flipped overnight

- How AI + sequencing will routinely identify disease risk decades early

- What happens when every patient controls their genomic data

- How pharmacogenomics improves medication safety and outcomes

- Why the healthcare system can't keep up with genomic progress 

Chapters

00:00 – Live at HLTH 2025 00:29 – The quiet giant behind global genomics

01:20 – From physician to entrepreneur

02:45 – Acquiring Gene by Gene

04:19 – The massive shift to whole-genome sequencing 

05:59 – Why more data = better diagnosis and prevention 

07:30 – DecisionRx partnership and real-world outcomes

08:19 – Cost, speed, and modularity as the winning edge

09:52 – Sequencing every newborn at birth

11:00 – Data democratization and genomic ownership

11:59 – AI + 3 billion base pairs: why machines must lead

13:24 – Polygenic risk scoring and preventive cardiology

15:38 – Cognitive health and early-intervention models

16:40 – Nutrition + genomics: personal story

17:50 – Sleep, diet & medication metabolism

18:25 – Closing thoughts and future collaboration

Learn more:

https://www.boombostichealth.com/

https://www.genebygene.com/

#genomics #precisionmedicine #boombostichealth #DNARevolution #healthcareinnovation #futureofhealthcare #preventivemedicine #healthtech #biotechnology #artificialintelligence

Pharma Isn't Broken — Access Is

ixlayer x Sanofi Ventures @ HLTH 2025 Patients don't suffer because we lack medical innovation — they suffer because it takes too long to access it. 

🚀 Why This Matters Patients today are consumers — they expect speed, personalization, and access. Pharma, technology, and venture capital are aligning to deliver it.

The future of healthcare is collaborative, data-driven, and patient-first. Live from HLTH 2025 in the Diagnostic Zone, we dig into the real barriers between patients and lifesaving therapies. This episode covers: 

• How digital platforms reduce barriers to treatment
• How AI is fueling proactive, personalized care
• Why strategic capital accelerates patient-impact innovation

Featuring: Pouria Sanae — Co-Founder & CEO, ixlayer Cris De Luca — Sanofi Ventures ⏱️

Timestamps 

00:00 — Live at HLTH: Rethinking the pharma-patient connection

02:18 — Why patient access is the real bottleneck

04:20 — Sanofi Ventures: inside the strategic innovation model

06:45 — The truth about time-to-treatment in America

08:40 — The evolution of ixlayer & diagnostics infrastructure

10:30 — Can big pharma really go patient-first?

12:00 — Evidence, outcomes & trust in AI + health tech  

Listen & Subscribe Never miss an episode where we challenge the status quo in healthcare and spotlight the innovators building what's next.

Healing Healthcare™ starts with bold ideas — and the courage to build them.

 #healthcareinnovation #digitalhealth #patientaccess #boombostichealth #aiinhealthcare #healthtech #pharmainnovation #futureofhealthcare #hlth2025 #hlthusa #PrecisionMedicine

Prescription costs are broken — and patients are the ones paying the price.

In this episode of Boombostic Health, host Bradley Bostic sits down with Lathe Bigler of First Data Bank to unpack why e-prescribing hasn't evolved in decades, how opaque pricing keeps patients in the dark, and why the next wave of pharmacy network innovation could flip the power dynamic back to patients.

 

💡 What We Cover:

• Why patients are frustrated with rising prescription costs
• How transparency empowers patients with real choices
• What most people don't know about paying cash for prescriptions
• How e-prescribing networks can break pharmacy bottlenecks 
• The role of technology in creating competition — and lowering costs 
• This isn't just about convenience. It's about rebuilding trust in the healthcare system.

Chapters

00:00 Introduction to Boombostic Health and Conference Atmosphere

08:23 Innovations in e-Prescribing Networks

14:59 The Importance of Transparency and Choice in Healthcare

 

#boombostichealth #healthcareinnovation #PrescriptionTransparency #digitalhealth #patientempowerment #healthcaretechnology #prescriptioncosts #FirstDataBank #healthcaretechnology #healthcareleadership

Summary

This conversation explores the transformative potential of AI in healthcare, emphasizing the importance of agentic AI, interoperability, and the need for a shift in medical education. The speakers discuss the challenges and opportunities presented by AI technologies, the necessity of upskilling healthcare professionals, and the economic models that must evolve to support these changes. They highlight the importance of viewing information as an asset and the role of AI in enabling personalized, longitudinal care for patients.

 

Takeaways

• There's always a new challenge to overcome in healthcare.
• Mistakes often provide the best learning opportunities.
• Agentic AI is set to transform healthcare significantly.
• AI should enhance, not replace, human interaction in care.
• 80% of clinicians' time is spent on administrative tasks.
• Interoperability is crucial for effective patient care.
• AI can synthesize vast amounts of data for better outcomes.
• Investment in healthcare needs to focus on outcomes, not just costs.
• Medical education must evolve to prioritize preventive care.
• AI can turn healthcare from episodic to longitudinal care.

 

Chapters

00:00 The Knothole Metaphor: Personal Drive and Motivation
02:57 Transformational Technology: The Impact of Agentic AI
05:38 AI in Healthcare: Redefining Roles and Responsibilities
08:43 Interoperability: The Key to Better Clinical Care
11:50 AI Integration: Upskilling and Workflow Automation
14:39 AI Native Applications: The Future of Healthcare Technology
17:42 Longitudinal Care: The Role of AI in Patient Management
20:32 Investment in Healthcare: Shifting Economic Models
23:37 The Future of Medical Education: A New Paradigm
26:31 Conclusion: The Bright Future of AI in Healthcare

Summary

The business of healthcare is broken — but intelligence might finally fix it.

In this episode of Boombostic Health, Bradley Bostic and Jason Wenell reveal how to build an AI-ready healthcare system that learns, adapts, and delivers real value. Jason shares his three-layer framework — upskill people, automate workflows, and build AI-native systems that think.

Discover how AI is becoming the engine behind value-based care and what it means for the future of healthcare innovation.

Takeaways

• AI is revolutionizing healthcare and other industries.
• Value-based care relies heavily on data and predictive analytics.
• AI can help identify social determinants of health.
• Upskilling healthcare professionals is crucial for AI integration.
• AI native applications will define the future of healthcare technology.
• Data is considered the new oil in the healthcare sector.
• Personalized healthcare will improve patient outcomes significantly.
• AI should enhance human capabilities, not replace them. 
• Ethical considerations in AI development are paramount.
• The future of healthcare is promising with the right AI applications.

 

Chapters

00:00 Introduction to AI in Healthcare
03:13 AI Applications in Value-Based Care
06:04 Navigating Change Management in Healthcare
09:00 The Shift to AI Native Applications
11:49 Data as the New Oil in Healthcare
15:00 Personalized Healthcare Through AI
18:05 Transitioning to AI Native Solutions
20:59 Ethical Considerations in AI Development
24:05 The Future of Human-Centric Healthcare

www.boombostichealth.com

https://linktr.ee/BradleyBostic

www.hc1.com

www.linkedin.com/in/bradleybostic 

#boombostichealth #aihealthcare #healthcare #digitalhealth #healthcareinnovation #healthtech #valuebasedcare #ai