Boombostic Health

Bradley Bostic
  • 4.5 (8)
  • Technology
  • Updated Weekly

Welcome to Boombostic Health, where we challenge the business of healthcare and explore bold ideas that drive meaningful change. Each week we bring you candid conversations with top experts, innovators and leaders exploring the latest trends and technologies shaping the future of healthcare.

  1. 5d ago ·  Video

    Why AI Won't Replace Your Doctor (But It Will Change How They Work)

    More people need chronic care. Fewer providers are available to deliver it. The math does not work unless care moves beyond the clinic. Can AI-powered remote care help close the gap without sacrificing safety or human judgment? Live from ViVE, Marcus Gordon sits down with Oren Nissim, CEO and Co-Founder of Brook Health, to examine how technology and human care teams can extend chronic disease management into the home. From hypertension and diabetes to heart failure and complex kidney conditions, Oren explains how Brook uses AI to support monitoring, patient engagement, recommendations, and follow-up between visits. But the technology is only one part of the solution. Scaling remote care will require responsible AI guardrails, sustainable reimbursement, secure data exchange, provider participation, and evidence that these models produce meaningful results. They discuss: • Why an aging population and shrinking provider workforce are creating an urgent access challenge • How remote care can extend the reach of providers serving Medicare patients • Where AI can support monitoring, engagement, and evolving care plans • Why clinical interventions require stronger safeguards than general wellness tools • How reimbursement and policy could accelerate care at home • Why security, compliance, and interoperability remain essential • Why healthcare AI companies must show results, not simply promote use cases The central takeaway: AI will not replace the people delivering chronic care. It can extend their reach, but only when innovation is paired with human oversight, sustainable payment, strong safeguards, and measurable outcomes. Subscribe to Boombostic Health for candid conversations with the leaders shaping the future of diagnostics, technology, and patient care. CHAPTERS 00:00 Live from ViVE with Oren Nissim 00:49 Extending chronic care into the home 01:41 The aging population and provider shortage 02:36 Balancing AI innovation with patient safety 04:48 How reimbursement could expand remote care 06:30 Turning patient data into an evolving care plan 07:02 Building guardrails for clinical AI 08:06 Security, compliance, and data exchange 08:51 Why healthcare AI must prove results

  2. Sep 1 ·  Video

    A Lab's Most Valuable Product Isn't the Test. It's the Data.

    A laboratory receives a specimen. What it produces is data. That data can expose risk, guide treatment, and give patients greater control over their health. But its value depends on whether it can be connected, understood, and acted on at the right moment. Live from ViVE 2026, Boombostic Health host Bradley Bostic sits down with Merve Ozkus, Senior Vice President and Chief Information Officer of BioReference Health, for a candid conversation about the changing role of the diagnostic laboratory. Merve explains how BioReference Health is sharpening its strategic focus while building a more patient-centered technology foundation. She shares why meaningful interoperability requires more than moving information between systems, how consumer-directed testing is changing the relationship between patients and diagnostics, and where artificial intelligence can create real value today. This is not a conversation about AI replacing clinical judgment. It is about using technology to strengthen the people, processes, and data behind better decisions. Bradley and Merve discuss: • Why data is the laboratory's true product • BioReference Health's strategic evolution and market focus • What patient-centered interoperability should actually accomplish • Why patients are becoming more active advocates for their health • The growing demand for consumer testing and functional medicine • How BioReference Health is approaching AI responsibly • Where AI can improve operations without removing human oversight • Why AI education must become as fundamental as cybersecurity training • How technology can help an overstretched healthcare workforce serve patients more effectively The next era of diagnostics will not be defined only by how many tests a laboratory can run. It will be defined by how intelligently healthcare can connect and activate what those tests reveal. CHAPTERS 00:00 Meet BioReference Health CIO Merve Ozkus 01:08 BioReference Health's strategic evolution 02:19 Why the laboratory's real product is data 04:13 The rise of the empowered patient 05:17 Finding signals beyond a single test result 08:33 Meeting patients where they are 10:06 Consumer testing and functional medicine 11:03 Building a secure, patient-centered foundation 11:41 Taking a disciplined approach to AI 12:46 AI as an accelerant, not a replacement 14:56 Why AI literacy is now essential 16:08 Moving from innovation talk to execution Subscribe to Boombostic Health for candid conversations with the leaders shaping the future of diagnostics, technology, and patient care. #Diagnostics #LabData #HealthcareAI #Interoperability #PatientCare #ViVE2026

  3. Aug 25 ·  Video

    AI Can Hear What Healthcare Misses

    Show Notes AI can make healthcare faster. But can it also make the patient experience more human? Live from ViVE, Marcus Gordon sits down with Ed Flores, VP of Business Development at Teleperformance, to examine how agentic AI is transforming patient and member engagement behind the scenes. From detecting fear in an oncology patient's voice to delivering real-time coaching, sentiment analysis and next-best actions, Ed explains how human-in-the-loop AI can help healthcare teams respond faster without removing the human judgment patients need. They discuss: How AI is improving scheduling and patient engagement Why human-in-the-loop models can accelerate healthcare adoption The rapid rise of autonomous AI agents How workforce shortages are driving operational change Security, interoperability and responsible AI deployment Teleperformance's expanding role in clinical and diagnostic support The central takeaway: efficiency alone is not enough. Healthcare AI must understand the moment, protect the patient and help people make better decisions. Subscribe to Boombostic Health for executive conversations spotlighting diagnostics, healthcare's intelligence layer. Chapters 00:00 Live from ViVE 01:41 Human-in-the-loop AI 02:05 Improving the patient journey 03:19 AI that listens and responds 04:40 Overcoming healthcare's adoption barriers 07:04 The rise of autonomous AI agents 07:57 Security and interoperability 08:47 Expanding clinical and diagnostic support

  4. Jul 21 ·  Video

    When Hospital Alarms Become Dangerous Noise

    Too Many Alarms, Not Enough Signal: How AI Can Make Hospitals Safer | Dr. Darren Klugman Show Notes Hospital alarms are supposed to protect patients. But when nearly every signal becomes background noise, the warning that actually matters may be the one no one hears. Live from ViVE, Marcus Gordon sits down with Dr. Darren Klugman, Chief Clinical Officer at CalmWave, to examine one of healthcare's most overlooked risks: the growing gap between the volume of hospital data and the human capacity to interpret it. Dr. Klugman explains why alarm fatigue is more than an operational nuisance—it is a patient safety problem. Clinicians are being asked to manage increasingly complex patients, devices, scores, and alerts while still delivering the human care that technology cannot replace. The answer is not another dashboard or another point solution. It is a smarter operational foundation that unifies electronic health record and bedside device data, separates meaningful signals from noise, and turns information into recommendations clinicians can act on. The conversation explores how mathematical modeling and data science can improve patient monitoring, give clinical engineering real-time visibility into device performance, inform nursing resources, forecast patient recovery, and help hospitals move patients through the ICU more safely and efficiently. For health system executives, the business case is equally clear: reducing preventable harm, shortening length of stay, improving bed utilization, increasing patient throughput, and allowing clinicians to practice at the top of their expertise. Healthcare does not need to give clinicians more data to interpret. It needs to make the data they already have actionable. In this episode: Why excessive non-actionable alarms can cause clinicians to miss the signals that matter How unified hospital data can improve patient safety, staffing, device management, and patient flow Why health systems must move beyond disconnected point solutions and demand measurable operational value How AI can reduce cognitive burden without replacing clinical judgment Why today's workforce and capacity crisis makes smarter hospital operations essential Timestamps 00:00 — Live from ViVE with Dr. Darren Klugman 00:27 — Unifying EHR and bedside device data 01:38 — When hospital alarms become dangerous background noise 04:20 — Reducing cognitive burden inside the clinical workflow 06:35 — Building one data foundation for hospital operations 08:05 — Patient safety, ICU throughput, and measurable ROI 09:58 — What health systems should demand from technology vendors 12:39 — Why healthcare's workforce and capacity crisis demands action Subscribe to Boombostic Health for candid conversations with the leaders transforming healthcare through better data, smarter technology, and more accountable innovation.

    When Hospital Alarms Become Dangerous Noise

  5. Jul 7 ·  Video

    Healthcare AI Has to Prove Itself Now

    Healthcare is past the point of being impressed by AI demos. The next phase is harder: proving value. In this episode of Boombostic Health, Bradley Bostic talks with Mike Hollis, co-founder of Optura AI, about what healthcare leaders need to do now: move beyond pilots, cut through AI noise, and focus on the use cases that can actually deliver measurable outcomes. Mike shares why so many organizations are stuck between excitement and execution, how leaders can evaluate AI maturity, and why the future of healthcare AI may be defined less by token usage — and more by trust, transparency, and accountability. This conversation gets into the real work behind AI adoption: aligning teams, measuring ROI, building confidence, and choosing where AI can create both business value and societal impact. Especially in areas like rare disease and underserved conditions, Mike makes the case that AI's biggest opportunity may not be where the hype is loudest. Watch this episode if you're asking: How do we know which AI initiatives are actually worth pursuing? Why are so many healthcare organizations stuck in pilot mode? What does ROI really look like in healthcare AI? How do trust, transparency, and behavior change affect adoption? Where can AI create meaningful impact beyond operational efficiency? Featured moments: 00:00 — Why Optura AI was built 02:43 — AI's economic and societal opportunity in healthcare 03:13 — Why organizations get stuck in AI decision paralysis 05:47 — The metrics that help prove value 06:56 — From token economics to trust economics 10:18 — Why transparency and behavioral science matter 12:23 — The lesson healthcare leaders cannot ignore: ROI matters Guest: Mike Hollis, Co-Founder, Optura AI Host: Bradley Bostic Podcast: Boombostic Health Subscribe to Boombostic Health for conversations with the leaders building the next era of healthcare.

    Healthcare AI Has to Prove Itself Now

  6. Jun 30 ·  Video

    The $19,000 Bill That Exposed Healthcare's Biggest Problem

    Healthcare does not just have a care delivery problem. It has a payment problem. In this episode of Boombostic Health, Bradley Bostic sits down with Nitesh Shroff, CEO and co-founder of Arintra, live from ViVE, to discuss how AI is being used to tackle one of healthcare's most painful and overlooked challenges: revenue cycle management. Arintra's origin story started with a shocking $19,000 hospital bill caused by a coding error. That experience exposed how fragile, confusing, and expensive healthcare billing can be for patients and providers — and led Nitesh and his co-founder to build an AI-powered approach designed to make healthcare payments more accurate, transparent, and efficient. Nitesh explains how Arintra uses explainable AI, clinical and financial agents, and human-in-the-loop learning to automate medical coding, prevent denials, support prior authorization, and help health systems get paid accurately and on time. The company's technology works directly inside EHR workflows, including Epic and athenahealth, helping reduce friction for providers while improving trust and adoption. This conversation goes beyond automation hype. It explores why revenue cycle has become mission-critical for health systems, why denials keep increasing, why the supply of skilled coders cannot keep pace, and why explainability may be the key to making AI work safely in healthcare. In this episode: 00:00 — Live from ViVE with Nitesh Shroff of Arintra 01:36 — The $19,000 hospital bill that sparked Arintra's mission 04:22 — How explainable AI agents understand clinical and financial context 06:58 — Applying safety-first AI lessons from self-driving cars to healthcare 07:57 — Why documentation, coding, and payment must all align 09:04 — How customer pain points guide Arintra's roadmap 10:07 — The ROI opportunity for health systems 11:23 — Why revenue cycle complexity and denials are accelerating 12:38 — What better billing accuracy means for patients 14:58 — The future of prior authorization, compliance, and payment transparency Healthcare revenue cycle is often treated as a back-office function. But as Nitesh and Bradley discuss, it is the financial lifeblood of healthcare — and one of the places where AI may create immediate, measurable impact. Watch the full conversation to hear how Arintra is helping health systems reduce complexity, improve accuracy, and bring more trust into one of healthcare's most broken systems. Subscribe to Boombostic Health for more conversations with the builders, operators, and leaders transforming the future of healthcare.

    The $19,000 Bill That Exposed Healthcare's Biggest Problem

  7. Jun 24

    AI Won't Save Healthcare If the Data Layer Is Broken

    AI is everywhere in healthcare right now. But Nancy Wright of GE HealthCare makes a sharper point: AI will only be as useful as the infrastructure underneath it. In this episode of Boombostic Health, recorded live at ViVE 2026 in Los Angeles, Bradley Bostic sits down with Nancy Wright, VP of Digital Platforms at GE HealthCare, for a practical conversation about interoperability, cybersecurity, connected devices, workforce shortages, and the operational future of healthcare. Nancy explains why interoperability is no longer just about exchanging clinical data. Health systems now need a more connected view across operations, finance, clinical workflows, biomedical engineering, supply chain, and cybersecurity. The challenge is not replacing every system. It is creating a smarter data layer that allows existing platforms to keep working while giving leaders better visibility, stronger security, and more actionable intelligence. The conversation also explores why healthcare cybersecurity must become proactive, why connected devices are expanding the risk surface, and how agentic AI could help reduce the burden on clinical and technical teams already stretched thin. This is a conversation about what healthcare needs before AI can truly scale: connected infrastructure, secure data, and operational intelligence. In This Episode Bradley and Nancy discuss: Why healthcare's AI future depends on the data layer beneath it What interoperability really means inside modern health systems Why disconnected operational, clinical, and cybersecurity data creates risk How connected devices and IoT endpoints are changing healthcare cybersecurity Why health systems need proactive security partners, not reactive fixes How agentic AI could support biomedical, clinical, and operational teams Why partnership will matter as healthcare innovation accelerates Key Moments 00:00 — Welcome from ViVE 2026 with Nancy Wright of GE HealthCare 01:08 — How AI is changing operations, labor, and interoperability 03:20 — Why interoperability needs a clearer definition 05:28 — Building a smarter layer across existing health system platforms 06:31 — Cybersecurity, bad actors, and healthcare's growing risk surface 08:48 — Connected devices, IoT endpoints, and proactive risk planning 12:09 — Why ViVE creates momentum for healthcare partnerships 14:15 — Agentic AI, workforce shortages, and the future of healthcare operations Why It Matters Healthcare does not need more disconnected technology. It needs infrastructure that helps leaders see across the enterprise, secure connected assets, support overloaded teams, and turn fragmented data into action. That is the foundation required for AI to become more than hype.

    AI Won't Save Healthcare If the Data Layer Is Broken

  8. Jun 18

    The $15 Billion Problem Hiding Inside Hospital Workflows

    The $15 Billion Problem Hiding Inside Hospital Workflows Everyone wants to talk about AI in healthcare. Greg Miller wants to talk about the work no one sees. In this live conversation from ViVE, Greg Miller, VP at Carta Healthcare, joins the Boombostic Health Podcast to expose one of healthcare's most expensive hidden problems: the billions spent manually abstracting clinical data for registries, quality reporting, accreditation, CMS measures, and benchmarking. This is not basic data entry. It is highly skilled clinical work. Nurses and clinical experts are digging through EHRs, interpreting complex patient records, and making judgment calls that directly impact how hospitals measure quality and performance. Greg calls it "swivel chair interoperability," and it is costing U.S. healthcare an estimated $10–$15 billion every year. But the answer is not just "throw AI at it." Greg makes the case for hybrid intelligence: AI powerful enough to accelerate the work, with clinician oversight strong enough to earn trust. Because in healthcare, accuracy is not optional, workflow matters, and the market is moving past AI hype toward solutions that prove ROI fast. The real question is no longer whether healthcare will use AI. It is whether AI can actually solve the messy, expensive, high-stakes problems buried inside the system. Timestamps 00:00 — Why clinical data abstraction is healthcare's hidden cost center 02:16 — Why registry work still requires clinical judgment 04:37 — The trust gap: why AI needs clinician oversight 05:38 — How Carta Healthcare repositioned around "hybrid intelligence" 10:01 — Why the AI hype cycle is giving way to ROI 11:54 — Why healthcare technology fails when it sits outside the workflow Best Moments Greg breaks down why some registry questions cannot be answered by simply searching the EHR. They require clinical inference, context, and expertise. He also explains why healthcare buyers are getting sharper. A year ago, AI was the shiny object. Now, health systems want practical implementation, workflow integration, and measurable financial impact. Key Takeaway AI will not win in healthcare because it sounds impressive. It will win when it removes burden, protects accuracy, fits the workflow, and earns clinician trust. That is the promise of hybrid intelligence. Featured Guest Greg Miller VP, Carta Healthcare Follow Boombostic Health for more conversations with the leaders building the future of healthcare.

    The $15 Billion Problem Hiding Inside Hospital Workflows
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About

Welcome to Boombostic Health, where we challenge the business of healthcare and explore bold ideas that drive meaningful change. Each week we bring you candid conversations with top experts, innovators and leaders exploring the latest trends and technologies shaping the future of healthcare.

Information

  • Creator
    Bradley Bostic
  • Years Active
    2025 - 2026
  • Episodes
    89
  • Rating
    Clean
  • Copyright
    © 2025
  • Show Website
    Boombostic Health