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by HLTH
The Beat, powered by HLTH, is a weekly interview series dedicated to paving a better path forward for the future of health. Each week a variety of hosts bring you authentic conversations with prominent thought leaders. Through these interviews with people at the forefront of change in healthcare, we hope to spark new ideas and encourage new collaborations among listeners.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- Yesterday17 min
How AI Can Help Healthcare Practices Fight Back Against Denials
Healthcare practices face a growing revenue cycle challenge as payers use AI to process and deny claims faster and more aggressively. In this episode, host Sandy Vance chats with Rob Ware, the SVP & General Manager at ModMed, about the hidden cost he calls the "RCM tax" and how practices can use AI to fight back. They discuss the disconnect between clinical documentation and financial billing, how AI-powered scribes can improve the flow of information from the patient encounter into the claim, and why keeping a human in the loop remains critical for healthcare revenue cycle automation. Rob also explains how real-time AI can help practices identify denial trends faster, reduce administrative burden, and build a more agile financial infrastructure.In this episode, they talk about:What the "RCM tax" really means and where revenue, time, and resources are lost throughout the billing process.Why gaps between clinical documentation, coding, and billing can lead to denials, lost revenue, and patient frustration.How AI-powered clinical documentation can capture information that might otherwise be missed and carry it directly into the revenue cycle.Why healthcare organizations need a human-in-the-loop approach to AI-powered billing, particularly when accuracy and compliance are critical.How provider organizations can use AI to respond to payer AI and identify denial trends in near real time.Why Rob believes fully integrated systems will ultimately outperform a collection of point solutions.The first practical step practice leaders can take to identify where their RCM tax is coming from and determine which tools can address it.A Little About Rob:Rob Ware serves as the Senior Vice President and General Manager of Revenue Cycle Management (RCM) at ModMed®. In this role, Rob leads the Business and Office Operations Services and Technology (BOOST) team and is focused on delivering a consistent, high-quality RCM experience to ModMed BOOST customers. Rob has spent more than 20 years driving strategic and operational improvement. Before joining ModMed, Rob served as the Senior Vice President and General Manager at Curae Finance, a fintech company that enables flexible patient payment options. Rob was responsible for post-sales operations and driving operational improvements, which included product strategy, implementation and service delivery processes, customer success management, and technology integration. Prior to Curae, Rob was the Vice President and General Manager of RCM at Greenway Health, where he led the RCM leadership team to double the scale of the RCM business, while improving customer outcomes and KPIs. In the first half of his career, Rob was in private equity as a member of the operations team at Vista Equity Partners and held numerous consulting roles, where he focused on go-to-market strategy creation, merger and acquisition management, and process and operational improvements. Rob holds a Bachelor of Science degree in mechanical engineering from Cornell University and earned his Master of Business Administration degree from MIT Sloan School of Management.
- 2 days ago23 min
How AI Built on Behavioral Science Reveals the “Why” Behind Health Decisions
Healthcare has become increasingly sophisticated at tracking what patients do. But understanding why they make certain health decisions remains a major challenge.In this episode of Health's Beat, host Sandy Vance talks with Dr. Sema Sgaier, Co-Founder and CEO of Surgo Health, about how behavioral science, artificial intelligence, and predictive analytics can help healthcare organizations understand and act on the human factors behind patient decisions.Sema and Sandy chat about responsible AI adoption, transparency, patient trust, and the growing opportunity to make healthcare more personalized by understanding people as individuals rather than simply collections of diagnoses and medical records. The next frontier of healthcare AI is not knowing more about what patients do. It is understanding why they do it.In this episode, they talk about:Why healthcare data reveals what patients do, but often not whyHow AI built on behavioral science reveal hidden barriers to adherenceWhat a breast cancer study revealed about patients discontinuing therapyWhy personalized interventions can outperform one-size-fits-all outreachHow AI interviews can uncover deeper patient insightsWhy clinical trials need to consider recruitability and retention, not just eligibilityHow behavioral data helped address maternal health transportation barriersWhy transparency and trust are essential to responsible healthcare AIA Little About Sema:Dr. Sema Sgaier is CEO and co-founder of Surgo Health, a Public Benefit Corporation building the Behavioral Intelligence layer for healthcare: revealing why people make the health decisions they do, predicting what they will do next, and shaping behavior for better health. Surgo’s suite of products includes Derin, which talks to people at depth and scale to reveal the why behind their health decisions, and BehavioralPulse, a proprietary behavioral data foundation built from primary research and modeled to population scale. Together they help life sciences companies, health systems, payers, and public health agencies act on what actually drives outcomes, from clinical trial design to care delivery and program strategy. Sema previously co-founded Surgo Foundation and Surgo Ventures, and was Initiative Lead at the Bill & Melinda Gates Foundation, where she brought innovations in data, consumer insights, and product introduction into large-scale health programs globally. A neuroscientist by training (Ph.D., NYU; genomics fellowship, Harvard), she has authored 60+ publications, has written op-eds for The New York Times, The Economist, and Harvard Business Review, and serves on the boards of United States of Care and Results for Development.
- 3 days ago21 min
Beyond the Hospital: How Connectivity Is Transforming Healthcare Access
As healthcare moves beyond hospital walls, reliable connectivity is becoming essential to patient care.In this episode of The Beat's Interop Now at ViVE series, host Sandy Vance talks with Robin Goldsmith, Practice Leader of Healthcare at Verizon Business, about the networks powering modern healthcare delivery.They explore remote patient monitoring, rural healthcare access, secure hospital connectivity, and business continuity. Robin also discusses how growing AI workloads are changing infrastructure demands and why health systems must plan for future data needs while balancing cost, security, and operational resilience.Better connected healthcare starts with the infrastructure that makes it possible.In this episode, they talk about:Why connectivity is becoming foundational to care delivery inside and outside hospitalsHow private networks and in-building cellular coverage support modern clinical environmentsWhy mobile EHR workflows require reliable, secure connectivityHow wireless backup solutions can help hospitals maintain operations during network disruptionsHow remote patient monitoring can expand access to care at homeWhy rural healthcare requires creative connectivity solutions and partnershipsHow growing AI workloads are increasing demand for network capacity and data transportWhat healthcare CIOs should consider when modernizing legacy infrastructureWhy long-term network planning must balance performance, resilience, and ROI A Little About Robin:Robin Goldsmith is Practice Leader of Healthcare at Verizon Business, where he helps healthcare, insurance, and life sciences organizations address connectivity challenges and support digital transformation. He works with industry leaders on secure network infrastructure, remote patient monitoring, rural healthcare access, and emerging technologies. Robin also hosts Verizon's Healthcare On Air podcast, featuring conversations about the future of healthcare.
- 3 days ago20 min
The Phone Was Always a Cost Center. Voice AI Makes It a Growth Engine
For decades, healthcare phone automation was designed primarily to route calls and contain costs. Today's voice AI is beginning to change all of that.In this episode of Health's Beat, host Sandy Vance talks with Lisa Gohil, Healthcare General Manager at Vapi, about how conversational voice AI is transforming the healthcare front door and creating opportunities that go far beyond traditional call center automation.As voice AI evolves, Lisa argues that the opportunity isn't simply to replace calls handled by people. It's to make getting help easier, more proactive, and more personalized for patients.In this episode, they talk about:How voice AI is moving healthcare beyond the traditional phone treeWhy voice AI can be a growth driver, not just a cost-cutting toolHow proactive outreach can improve scheduling and referral conversionWhy patient satisfaction may challenge assumptions about AI-powered callsHow voice agents use context and knowledge to personalize conversationsWhy successful AI deployments require workflow redesign, not just automationWhere human escalation belongs in an AI-powered patient experienceHow voice AI could make healthcare's front door easier to navigateA Little About Lisa:Lisa Gohil is a healthcare executive leader with 20 years of experience at the intersection of technology and healthcare: evaluating, selling, and buying technology solutions. Lisa specializes in matching problems with the right solutions and designing business models that can support sustainable transformation. Lisa currently leads Healthcare at Vapi, the leading enterprise voice AI technology. Prior to joining Vapi, Lisa spent 4 years at Stanford Medicine Health Care, where she led the Digital Health team and determined the enterprise’s 3-5 year digital health strategy and roadmap (for Adult Hospitals and Clinics). She also led Stanford’s Emerging Applications Laboratory (SEAL), an innovation team that incubates (designs, prototypes, generates user feedback) tech solutions for clinician pain points and de-risks emerging technology for the enterprise. Before Stanford Healthcare, Lisa led commercial and marketing functions for a clinical research startup and spent nearly a decade at Deloitte Consulting partnering with Fortune 500 healthcare companies on growth strategy.
- 4 days ago19 min
From Reactive to Predictive: How AI Is Transforming Hospital Operations
What if hospitals could predict bottlenecks before they disrupt patient care?In this episode of The Beat's AI at HLTH series, host Sandy Vance talks with Bree Bush, General Manager of Command Center and CareIntellect at GE HealthCare, about how AI is helping health systems improve patient flow, capacity, and access to care.Bree explains how CareIntellect for Operations uses predictive analytics to anticipate resource constraints, support discharge planning, and guide operational decisions. They also discuss measurable results, responsible AI, and the importance of integrating technology into existing hospital workflows.The takeaway: Better hospital operations start with anticipating problems, not just reacting to them.In this episode, they talk about:Why rising demand, staffing constraints, and complex care make hospital capacity harder to manageHow AI can help hospitals move from reactive to predictive operationsHow CareIntellect for Operations forecasts bottlenecks up to 72 hours aheadWhy imaging, discharge planning and departmental coordination affect patient flowHow predictive tools can help health systems make better use of existing resourcesWhat health systems should measure when evaluating operational AI ROIWhy responsible AI, workflow integration and continuous learning matterHow change management helps hospitals turn new technology into sustained improvementA Little About Bree:Bree Bush is the General Manager for GE HealthCare Command Center software and CareIntellect operations application. Her focus is on helping leading health systems enhance their operations by streamlining patient flow, optimizing capacity, eliminating inefficiencies, and improving access to care. Bree was a founding member of the Command Center software team when the solution launched more than a decade ago. It has since been adopted by nearly 500 hospitals and medical facilities globally. Bree is also General Manager for GE HealthCare’s CareIntellect enterprise applications, including a forthcoming hospital operations application. CareIntellect is GE HealthCare’s family of clinical and operational applications, designed to help customers optimize care delivery and quality across health networks and care settings.Bree has led healthcare organizations through operational transformation initiatives at GE HealthCare for two decades. Whether her efforts were focused on improving the operating room block schedule or reducing length of stay for inpatients, she has implementedsimulation modeling and systems engineering methodology to drive measurable results and create a culture of continuous improvement.
- 5 days ago23 min
Beyond More Data: How BMJ Group Is Building Trustworthy Healthcare AI
Healthcare AI can deliver answers in seconds, but how can clinicians trust the evidence behind them?In this episode of The Beat's AI at ViVE series, host Sandy Vance talks with Yvonne Ridge, Head of Product at BMJ Group, and Dr. Kieran Walsh, Clinical Director at BMJ Group, about bringing trustworthy, evidence-based clinical intelligence into AI-powered healthcare.They explore how BMJ's clinical knowledge graph connects medical evidence to patient care, why more information doesn't always mean better decisions, and how transparent, continually updated recommendations can help address AI's risks. Better healthcare AI starts with reliable evidence, not just more data.In this episode, they talk about:Why faster AI answers aren't enough without trustworthy clinical evidenceHow BMJ Group is evolving from traditional publishing to digital clinical intelligenceHow knowledge graphs connect clinical guidelines, conditions, tests, and treatmentsWhy complex patients need more than rules-based clinical decision supportHow evidence-based recommendations can help address AI hallucinations and explainabilityWhy conflicting clinical guidelines require careful interpretation, not just aggregationHow clinical intelligence can fit into existing healthcare workflowsWhy clinician involvement is essential when designing AI-powered healthcare toolsA Little About Yvonne and Kieran:Yvonne Ridge is Head of Product at BMJ Group, bringing 25 years of experience in healthcare product development. She leads the development of digital health solutions that make trusted clinical evidence more accessible and actionable, helping healthcare organizations integrate reliable medical knowledge into AI-powered tools and clinical workflows.Dr. Kieran Walsh is Clinical Director at BMJ Group and a geriatrician with a background in medical publishing and education. He oversees the safety and quality of BMJ's digital clinical knowledge resources, helping ensure healthcare professionals have access to accurate, evidence-based guidance that supports better clinical decisions.
- 5 days ago23 min
How Voice AI Could Make Healthcare More Human
Healthcare doesn't necessarily become less human when AI enters the conversation. It can become more human if AI removes the frustrating parts of healthcare that humans aren't particularly good at.Voice AI is moving beyond demos and novelty applications and into the everyday infrastructure of healthcare. From scheduling and intake to wellness checks, translation, and patient communication, AI-powered voice technology is beginning to change how patients interact with hospitals, clinics, and care networks.In this episode of The Beat's AI series, Sandy Vance speaks with Isaiah Granet, co-founder and CEO of Bland, about the evolution of voice AI in healthcare and what it takes to make these systems reliable enough for real-world patient interactions. Isaiah explains why BLAND chose to build its own models rather than rely on frontier model providers, how that approach can help address healthcare's data privacy and security concerns, and why highly specialized AI can outperform general-purpose models for specific healthcare tasks.In this episode, they talk about:How voice AI is moving from novelty to infrastructure across healthcareWhy BLAND chose to build its own AI models instead of relying on frontier model providersHow specialized AI can address healthcare's unique privacy, security, and reliability requirementsWhy AI-powered automation could actually make healthcare more humanHow BLAND is scaling voice AI across scheduling, patient engagement, translation, and other healthcare use casesWhy the quality of the patient interaction has to come firstHow AI could become a more accessible "front door" to healthcareA Little About Isaiah:Isaiah Granet is the CEO and co-founder of Bland, where he’s building production-grade voice AI for real customer conversations. A Y Combinator alum (S23), he has raised $65M to build reliable, enterprise-scale voice systems.Before founding Bland, Isaiah founded San Diego Chill, a nonprofit providing one-on-one ice hockey mentoring for children with developmental disabilities. For this work, he was named a CNN Heroes Young Wonder.
- 1 weeks ago20 min
How Healthcare Moves From AI Insights to Connected Action
Healthcare has made enormous strides in using AI to generate better data, predictions and insights. But generating intelligence is only part of the equation. How do healthcare organizations turn that intelligence into meaningful, coordinated action?In this episode of Health's Beat, host Sandy Vance sits down with Sundar Subramanian, CEO of Zyter, to explore why much of today's healthcare AI transformation may still be functioning as a "Band-Aid" layered over outdated systems and workflows.Sundar explains why organizations need to move beyond isolated AI pilots and rethink processes from end to end. He introduces the idea of "connected action," where AI agents, people, systems and workflows work together to execute complex healthcare processes safely and consistently. They also talk about the challenges of deploying probabilistic generative AI in high-stakes healthcare environments and the importance of domain-specific AI architecture.Sandy and Sundar examine what it will take to move healthcare AI from promising experiments to trusted, scalable transformation.In this episode, they talk about:Why isolated AI use cases can become a "Band-Aid" instead of true healthcare transformationThe shift from AI-generated intelligence to connected actionWhy healthcare workflows must be redesigned, not simply automatedHow AI could transform complex processes like prior authorizationWhy probabilistic AI creates unique challenges in high-stakes healthcareWhat human-in-the-loop governance should actually look likeHow trusted AI can help clinicians focus their judgment where it matters mostWhy end-to-end AI transformation could improve care while helping bend the cost curveA Little About Sundar:Sundar Subramanian is Chief Executive Officer of Zyter, where he leads the company’s strategy and growth as it advances AI-powered transformation across healthcare and other complex, regulated industries. Prior to Zyter, Sundar spent more than 16 years at PwC, where he led strategy consulting and advised Fortune 500 companies on growth, AI-enabled transformation, and operating model redesign. He previously held leadership roles at Booz & Company, WellCare Health Plans, and McKinsey & Company. Sundar holds an MS from MIT, an MBA from The Wharton School, and a B.Tech from IIT (BHU) Varanasi.
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About The Beat
The Beat, powered by HLTH, is a weekly interview series dedicated to paving a better path forward for the future of health. Each week a variety of hosts bring you authentic conversations with prominent thought leaders. Through these interviews with people at the forefront of change in healthcare, we hope to spark new ideas and encourage new collaborations among listeners.
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