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The hospital room is becoming intelligent.
In this episode of Boombostic Health, Bradley Bostic sits down with Adam McMullin, CEO of AvaSure, to discuss how AI-enabled virtual care is helping health systems improve patient safety, support nurses, and extend clinical capacity without losing the human touch.
AvaSure pioneered virtual safety and is now helping hospitals move beyond pilots into scalable, ROI-driven care transformation. Adam shares how intelligent room technology, computer vision, virtual nursing, and open platform integrations are changing what care teams can see, how quickly they can act, and where scarce clinical resources can be used most effectively.
The conversation gets into the real pressures facing health systems today: patient falls, ED boarding, documentation burden, specialty access, workforce shortages, and the rising issue of violence against care teams.
This is not a conversation about AI replacing clinicians.
It is about using AI and virtual care infrastructure to give clinicians better visibility, better support, and more time with patients.
Key TopicsVirtual safety and the future of patient observation
How intelligent rooms can reduce risk and improve workflow
Why hard-dollar ROI matters for scaling healthcare technology
The role of AI, computer vision, and virtual nursing in care delivery
How AvaSure is helping health systems bring more human connection back into care
Key TakeawayThe future of hospital innovation is not more disconnected technology. It is intelligent infrastructure that helps care teams act sooner, work smarter, and care better.
In this episode of Boombostic Health, Bradley Bostic sits down with Robert Michel, founder of Executive War College and editor-in-chief of The Dark Report, for a wide-ranging conversation on the past, present, and future of laboratory diagnostics.
From the origin story behind Executive War College to the rise of genomics, AI, remote monitoring, and personalized medicine, Robert shares why diagnostics are far more than a line item in healthcare spending. They are one of the most powerful levers for improving outcomes, reducing cost, and helping health systems act earlier.
The conversation explores how lab data can move from being underused information to a strategic asset that supports better decisions across maternal health, chronic disease, medication optimization, aging in place, and preventive care.
In this episodeBradley and Robert discuss:
Diagnostics are no longer just about test results. They are becoming a strategic intelligence layer for healthcare.
Lab data has the potential to help health systems identify risk earlier, intervene sooner, and reduce avoidable cost.
The future of healthcare will be shaped by the convergence of diagnostics, AI, remote monitoring, personalized medicine, and more proactive care models.
Timestamps00:00 — Why "Executive War College" became the name and what it signals about lab leadership
02:09 — The evolution of genomics technology since 1995
04:49 — From genetic research to practical diagnostic applications
06:14 — Unlocking the value of lab data for outcomes and cost savings
09:57 — How proactive lab testing can improve maternal and neonatal health
12:56 — Addressing anemia, medication optimization, and other preventable gaps
16:54 — The future of diagnostics, AI, and rapid medical insight
17:43 — Biometric wearables, holistic health, and extending healthspan
20:08 — Nutrition, microbiome, and the shift toward preventive care
25:38 — Lessons from Blue Zones on diet, longevity, and lifestyle
27:24 — Robotics, AI, and aging-in-place care models
32:02 — The future of pharmaceuticals, longevity, and space-age innovation
33:08 — Why innovation communities and early adopters drive progress
Are we really close to catching pancreatic cancer early?
This silent killer still kills 75% within the first year of diagnosis. But what if we could spot clues before it becomes deadly?
Transforming Pancreatic Cancer Detection with Amplified SciencesIn this episode, Bradley Bostic hosts Diana Caldwell, CEO and co-founder of Amplified Sciences, to explore groundbreaking advancements in early detection of pancreatic cancer. Given the devastating prognosis of late-stage diagnosis, their discussion highlights how innovative diagnostics can shift the paradigm towards earlier, less invasive screening—saving lives and improving outcomes.Main insights:
Timestamps: 00:11 - Introduction and personal story highlighting the importance of early cancer detection
01:08 - Diana Caldwell's background and motivation to improve gastroenterology diagnostics
04:38 - The science behind Amplified Sciences' diagnostic platform and research origins
07:27 - Current challenges in pancreatic cancer diagnosis and the limitations of standard tests
09:18 - Understanding the brutal statistics and silent progression of pancreatic cancer
10:12 - How genetic factors and incidental screening can identify high-risk individuals
12:41 - The patient journey: from incidental detection to invasive procedures and unmet needs
14:15 - The role of the PANSIS Pro test, regulatory milestones, and sample requirements
16:03 - Differentiating between benign cysts and pre-malignant lesions like IPMN
17:24 - The significance of multi-omic diagnostics and reducing unnecessary surgeries
21:18 - Screening strategies: incidentally detected lesions and the importance of size and location
24:04 - Limitations of current biomarkers like CA 19-9 and the promise of multi-marker panels
26:02 - The unique approach of liquid-focused diagnostics versus traditional blood tests
29:18 - Reimbursement hurdles and the importance of demonstrating clinical utility
32:13 - The mental health impact of uncertain diagnoses and proactive testing benefits
33:55 - The vision for a future where early detection becomes routine and standard careResources & Links:
Resources & Links: Amplified Sciences Official Website: https://amplifiedsciences.com/
Connect with Diana Caldwell on LinkedIn: https://www.linkedin.com/in/dianathompsoncaldwell/
This episode underscores the power of innovative diagnostics to intercept pancreatic cancer early, transforming a deadly prognosis into manageable health outcomes. It highlights the collaborative effort needed across research, regulation, and healthcare platforms to ensure these breakthroughs reach patients.
This episode dives into the story of Health Gorilla and its founder, Bob Watson, revealing how innovative approaches are tackling one of healthcare's most persistent problems: data interoperability. With decades of experience, Bob shares strategic insights and the evolving landscape that is shaping the future of healthcare information exchange.In this episode:
Timestamps:00:00 - Introduction to Bob Watson and the origins of Health Gorilla
00:08 - Bob's experience at Cerner and pioneering early health IT initiatives
00:32 - Building the Connected Community and lessons from early EHR adoption
00:58 - Data blocking strategies in the 90s and their impact on interoperability
01:44 - Bob's transition to turnaround leadership and lessons from multiple engagements
02:15 - The importance of the right team and strategic focus for tech companies
02:28 - Narrowing down core customer profiles and target markets
02:43 - Focus on Epic, Cerner, and e-clinical work as key interoperable systems
03:07 - Value-based care and the role of data in Medicare Advantage programs
03:26 - Developing private lab networks and new use cases under TEFCA
03:52 - How TEFCA's implementation increases data exchange traffic
04:21 - Facilitating patient data access and reciprocity in information sharing
04:48 - Industry impact of data blocking lawsuits and regulatory changes
05:13 - The federal push for interoperability akin to the HITECH Act
05:39 - Penalties and non-compliance consequences as enforcement tools
06:01 - Delivering high-quality, actionable data for AI and clinical decision-making
06:23 - Personal story: navigating healthcare data transfer challenges as a patient
06:45 - The future of incentivizing interoperability through economic measures
07:07 - Infrastructure at the endpoints vs. legacy system dependencies
07:25 - Delivering consumable, easy-to-interpret data for busy clinicians
07:53 - Reducing care gaps through comprehensive, uniform health records
08:18 - The importance of high-certainty data for AI training and predictive care
09:02 - How Health Gorilla's curated, accurate data supports advanced AI applications
09:41 - Bob's return from retired life to address relentless interoperability challenges
10:26 - The evolving role of images and challenges in flowing medical imaging data
11:11 - Vendor issues and technical constraints in transmitting medical images
11:27 - The goal to improve data quality and flow from legacy systems like Meditech
11:51 - Connecting all legacy networks for comprehensive data sharing
12:05 - The potential for Health Gorilla to be a significant player in healthcare interoperability
12:29 - The importance of government support—sticks and carrots—in fostering industry change
12:42 - Closing thoughts: the future of seamless, actionable healthcare data
Insights from Eric Strafel of Molecular Testing LabsDiscover how industry veterans are reshaping healthcare through innovative diagnostics, integrating systems thinking, and leveraging AI. In this episode, Eric Strafel discusses the intersection of aerospace principles with healthcare, the future of home testing, and the power of diagnostics as the healthcare data engine.
Key Topics: 00:00 - Introduction to Eric Strafel and his transition from aerospace to healthcare diagnostics
02:24 - The importance of systems thinking and process robustness from aerospace in healthcare
03:17 - Impact of program management practices in healthcare labs
04:37 - The role of diagnostics in addressing barriers to testing and care engagement
05:24 - The evolution and future of home testing post-pandemic
07:15 - The integration of consumer-centered health and traditional care through digital tools
07:35 - How AI automates lab workflows and improves capacity
09:06 - The vision of diagnostics as the data engine powering personalized healthcare
10:24 - The critical role of diagnostics in the future of healthcare data ecosystems
11:13 - The importance of early diagnostics for healthy aging
12:11 - Leaders' focus on innovation, agility, and scaling in the diagnostic industry
Colorectal cancer is rising fast, especially among younger populations, and one of the biggest problems is not treatment. It is missed screening.
Recorded live at ViVE in the Diagnostic Zone, Eliad sits down with Jay Sidgreaves of New Day Diagnostics to talk about ColoHealth, an FDA-approved blood-based colorectal cancer screening test designed to help close one of the most urgent gaps in healthcare: getting more people screened before it is too late.
Jay explains why FDA approval matters, why accessibility matters even more, and how diagnostics is moving toward a future where consumers play a much more active role in their care. This conversation also gets into where healthcare is headed next, from blood-based testing and digital platforms to AI-enabled patient education and a more consumer-driven diagnostic experience.
This is not just a conversation about one test. It is a conversation about where diagnostics, prevention, and patient behavior are heading next.
What this episode covers:Transforming Healthcare Access with Simple Health Kit and Mark Cuban Partnership
Discover how Dr. Sheena Menezes and Simple Health Kit are revolutionizing healthcare through community-centered platforms, innovative lab kits, and a strategic partnership with Mark Cuban's Cosplus Pharmacy.
This episode details the vision for equitable access and the integration of technology in healthcare. In this episode:
Timestamps:
00:00 - Welcome and overview of Simple Health Kit's mission
00:36 - How Simple Health Kit puts individuals at the center of care
01:43 - Major announcement: partnership with Mark Cuban's Cosplus Pharmacy
02:08 - Benefits of the partnership for medication access and affordability
02:53 - Sheena Menezes' inspiring origin story
03:21 - The drive to bring care to those who need it most
03:53 - The growth and scale of Simple Health Kit over seven years
04:16 - How patients can access Simple Health Kit products via health plans, stores, and online
04:45 - Physical in-store health kits and direct-to-consumer options
05:04 - The range of lab testing available: diabetes, kidney, cancer, STI
05:24 - Strategic channels: payers, providers, and pharmacies
05:28 - Vision for universal healthcare access in the next decade
06:03 - Focus on high-level, concierge care in underserved areas
06:32 - Exciting future developments and Mark Cuban connection
Resources & Links: https://www.simplehealthkit.com/
Connect with Dr. Sheena Menezes: / sheenamenezes
Show Notes
What if the most valuable data in healthcare has been sitting in plain sight the entire time, buried inside millions of clinical notes no one can actually use?
Live from ViVE, Marcus Gordon sits down with Dr. Tim O'Connell, co-founder and CEO of Emtelligent and a practicing radiologist, for a conversation about one of the biggest blind spots in modern healthcare: unstructured data.
Dr. O'Connell breaks down why health systems are overflowing with information yet still starving for actionable insight, and why unlocking clinical notes at scale could change everything from patient care to cost control to real-world evidence.
This episode gets into the real tension behind AI in healthcare. The technology is moving fast, but the stakes are too high for blind automation. Diagnoses, claims, treatment decisions, and chart review cannot become black-box exercises. Dr. O'Connell makes the case for clinician-led AI, where humans stay firmly in control and technology does what it does best: surface critical information faster, more accurately, and at scale.
The conversation also explores why radiology has long been seen as a digital pioneer, why AI adoption in clinical workflows may actually be moving faster than in imaging, and what it will take for health systems, payers, and life sciences companies to responsibly share data in ways that improve care without compromising trust.
This is a conversation about where healthcare is actually headed, not in theory, but in practice.
In this episode:
Why an estimated 80% of healthcare data lives in unstructured clinical notes
The real reason health systems are data rich but insight poor
Why human-in-the-loop AI is non-negotiable in healthcare
How AI-assisted chart review can reduce friction for clinicians
Why radiology may not be the AI leader people assume it is
What better data sharing could mean for cost, quality, and real-world evidence
Why the future of healthcare depends on turning documentation into decisions
Healthcare has talked about AI for years. What feels different now is that the conversation is finally moving toward practical use cases.
In this episode of Boombostic Health, Marcus Gordon sits down with Dr. Luke Hansen of Arcadia at HIMSS to discuss where AI is beginning to create real value in healthcare. They explore how AI can help expand access, support care teams, surface more meaningful patient context, and identify rising risk earlier.
This conversation goes beyond the usual hype. Dr. Hansen explains the difference between tools that improve efficiency, like summarization and documentation support, and the more meaningful long-term shift toward predictive and agentic capabilities that could reshape care delivery.
For healthcare leaders, operators, and innovators trying to separate real operational value from noise, this is a thoughtful conversation worth watching.
In this episode:
Boombostic Health — Live from ViVE 2026
Healthcare doesn't have a clinical excellence problem.
It has an operations problem.
In this episode of Boombostic Health, Bradley Bostic sits down with Dr. David Atashroo of Qventus to unpack the hidden layer of healthcare that determines whether care actually works: care operations.
The United States leads the world in clinical innovation, yet patients still experience delays, canceled procedures, repeated paperwork, and fragmented care.
Why?
Because the real breakdown in healthcare happens outside the exam room — in scheduling, care coordination, surgical preparation, discharge planning, and the countless operational tasks that surround clinical care.
Dr. Atashroo explains how AI is beginning to transform that operational layer by proactively identifying care gaps, coordinating workflows across the care continuum, and ensuring patients get the right care at the right time.
Instead of adding more dashboards or tools, AI can become the system that orchestrates care itself.
If healthcare is going to improve outcomes, reduce costs, and restore clinician capacity, the next frontier isn't better clinical tools.
It's fixing the operations of healthcare.
In this episode• Why healthcare's biggest failures are operational, not clinical
• How AI can coordinate care across the entire patient journey
• Why value-based care struggles to execute in real health systems
• How AI can proactively close care gaps and identify risk
• The future of AI as the operating layer of healthcare
"If you can make the right thing to do the easy thing to do, you advance value-based care."
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