Boombostic Health

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.

Boombostic Health is a technology podcast hosted by Bradley Bostic, with 89 episodes on record and a Required Pod Score of 80.

Bradley Bostic hosts Boombostic Health, a technology show with 89 episodes published.

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  Boombostic Health

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

  Sep 15, 202610 minS1

  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

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  Boombostic Health

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

  Sep 1, 202617 minS1

  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

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  Boombostic Health

  AI Can Hear What Healthcare Misses

  Aug 25, 202610 minS1

  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

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  When Hospital Alarms Become Dangerous Noise

  Jul 21, 202614 minS1

  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.

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  Boombostic Health

  Healthcare AI Has to Prove Itself Now

  Jul 7, 202614 minS1

  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.

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