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Healthcare and life sciences have a unique challenge when it comes to using AI for marketing, sales, and communications: accuracy isn't a nice-to-have. It's a must-have. In this episode of The Beat's AI at Health series, host Sandy Vance talks with Divya Srungaram, VP of Healthcare Solutions at WRITER, about how AI agents are helping healthcare organizations accelerate highly regulated workflows without sacrificing compliance, accuracy, or human oversight. Divya shares why healthcare marketing campaigns can take nine to 12 months to move from brief to launch, and how AI agents can embed legal and compliance requirements directly into the content creation process, reducing the back-and-forth that traditionally slows teams down. Some of the key takeaways include: organizations shouldn't start by trying to automate every step of an existing process. Instead, they should start with the outcome they need to achieve and then determine how AI can orchestrate the work. As healthcare organizations move from experimenting with AI to deploying it at scale, Divya sees an inflection point ahead, one where domain expertise combined with AI fluency could become a significant competitive advantage. In this episode, they talk about:Why healthcare content creation is so slow and how AI agents can change the equationBuilding compliance and legal requirements directly into AI workflowsUsing checker agents and traceability to reduce AI riskHow AI can accelerate complex Medicaid RFPsWhy organizations should start with outcomes rather than existing processesThe importance of data discipline and a clear source of truthPreparing employees for roles that will change as AI adoption growsMeasuring AI ROI through speed, revenue, sales effectiveness, and efficiencyHow AI can make healthcare communications more empathetic and easier to understandWhy healthcare organizations may be approaching an AI inflection point  A Little About Divya:Divya Srungaram is Vice President of Healthcare Solutions at WRITER, where she leads the healthcare vertical, helping health plans and providers deploy generative AI to drive measurable impact across commercial and operational workflows. She is a healthcare AI executive with nearly two decades of experience transforming payer and provider operations through generative AI, machine learning, and advanced analytics. She brings deep expertise across claims, utilization management, care management, and risk adjustment, and has served as a trusted advisor to multi-billion-dollar health plans on enterprise AI strategy, responsible AI governance, and large-scale implementation. Her work focuses on translating data and AI into actionable insights and solutions that help health plans better understand employer populations, manage cost trends, and drive improved engagement and outcomes across Commercial and Medicare lines of business. Divya was a leader in the Healthcare Strategy & Analytics practice at Deloitte, where she advised large healthcare organizations on transformation and led the development of AI-driven products and data platforms. She later served as VP of Product at Blue Health Intelligence, where she led the Employer Analytics platform supporting multiple Blue Cross Blue Shield plans and millions of members. Most recently, as SVP of Provider Growth and Product at Allymar Health, she led product strategy and growth for Medicare solutions, developing AI-enabled capabilities to improve documentation quality, risk adjustment accuracy, and clinical workflows. She holds a Bachelor’s degree in Computer Systems Engineering from Massey University (New Zealand) and an MBA from Harvard Business School.

Millions of people struggle with behavioral health conditions that remain undiagnosed or undertreated. AI could help find those patients sooner and connect them to more effective care. In this episode of the AI at ViVE series on The Beat, host Sandy Vance talks with Jeremy Kreyling, the SVP of Healthcare Informatics at NeuroFlow, about where artificial intelligence genuinely belongs in behavioral health and where clinical judgment and human connection remain irreplaceable. Jeremy explains how NeuroFlow uses machine learning across claims, EHR, assessment, and engagement data to identify hidden behavioral health risk, and why models built around an organization's own population can provide greater confidence than a one-size-fits-all approach. They also discuss how AI can help reduce the number of patients lost between identification, referral, and effective treatment. In this episode, they talk about:How AI can identify behavioral health needs that haven't yet been diagnosedWhy healthcare AI models should reflect the populations they're designed to serveHow machine learning can make behavioral health outreach more targetedWhy finding a provider isn't enough if the patient doesn't stay in careHow AI agents can take administrative work off highly trained care managersWhy behavioral health still lags physical health in analytics and integrationHow measurement-based care can identify when treatment isn't workingWhy AI should create more meaningful patient care, not simply more patient volumeA Little About Jeremy:Jeremy Kreyling is the SVP of Healthcare Informatics at NeuroFlow, the market leader in behavioral healthcare technology infrastructure, where he leads analytics strategy to integrate behavioral health into value-based care models. He brings more than 20 years of leadership in healthcare data and analytics, with prior roles at NOCD, ProgenyHealth, and Change Healthcare. Jeremy holds an MBA from the University of Arizona and a B.S. in Information Systems from Arizona State University.

Healthcare organizations are under increasing pressure to make better use of data, AI, and automation but none of those technologies can reach their full potential without reliable access to the right patient information.  In this episode of Interop Now, host Sandy Vance chats with Dima Goncharov, co-founder & CEO of Metriport, about the evolving healthcare interoperability landscape, health information exchanges, FHIR, QHINs, and the challenge of bringing fragmented clinical data together. They discuss why interoperability is becoming table stakes in modern healthcare, the limits of building connections in-house, and how a stronger data foundation can help providers move from simply exchanging information to using it to improve care. They also explore how AI and large language models answer complex patient questions in real time when the underlying data is trustworthy, accessible, and properly organized. In this episode, they talk about:Why healthcare interoperability continues to evolve and why connecting to a single network still isn't enough to create a complete patient picture.How health information exchanges, national networks, and emerging frameworks such as TEFCA fit into today's interoperability landscape.Why healthcare data transformation, patient matching, record location, and deduplication remain major challenges even after connectivity is established.Why Metriport believes interoperability should be treated as table-stakes infrastructure, rather than a project healthcare organizations have to continually build and maintain themselves.How clean, accessible longitudinal patient data creates the foundation for AI, automation, and modern care models.Why AI and LLMs could help providers synthesize complicated healthcare data and answer patient-specific questions in real time.Real-world examples of interoperability helping providers surface previously unavailable information, avoid unnecessary testing, and make faster treatment decisions.A Little About Dima:Dima Goncharov is the Co-Founder and CEO of Metriport, an open-source platform transforming healthcare data exchange. With a background as a software engineer, Dima has built everything from aerospace and defense mission systems to highly available cloud database services at Amazon Web Services (AWS). Dima’s passion for transparent, secure, and accessible health data solutions is evident in Metriport’s mission and the APIs they’ve developed for seamless medical record retrieval. Dima is an alumnus of both British Columbia Institute of Technology and of Y Combinator’s S22 cohort. Now based in San Francisco, he leads Metriport’s efforts to modernize and open up healthcare interoperability for providers everywhere.

Passwordless authentication sounds like a solved problem, until you try to roll it out across a hospital full of shared clinical workstations.  In this episode, host Sandy Vance sits with Dawud Gordon, Ph.D. Founder & CEO at Twosense.AI, to unpack why passwordless projects in healthcare so often stall out and what it actually takes to get them across the finish line.  Dawud explains how continuous, invisible authentication powered by behavioral biometrics can eliminate passwords for clinicians without adding friction to patient care, and why the real risk in shared workstation environments isn't malicious hackers but accidental session sharing between coworkers.  He also shares hard numbers from a 90-day passwordless deployment at a top 10 U.S. health system, including an 89% drop in login failures and a 79% drop in password-related help desk tickets across 17,000 users. The conversation closes with a look ahead at the next frontier of identity security: verifying not just human users, but the AI agents acting on their behalf.  In this episode, they talk about:Why compliance is finally forcing health systems to ditch passwords for clinical staffWhy passwordless projects stall: what works in the back office breaks on shared clinical workstationsHow Twosense.AI makes authentication fully passive and invisible using behavioral biometricsThe real risk isn't hackers; it's accidental session sharing between clinicians"Is this really you?" A one-click fix that replaces a full compliance investigationThe case study: 17,000 users, 90 days, 89% fewer login failures, 79% fewer help desk tickets, 100% of sessions protectedHow the rollout happened passively in the background, with zero change management painBuilding an AI native security product, from research prototype to enterprise scaleThe next frontier: verifying AI agents, not just humans, on a user's sessionTwosense.AI's new SSF/CAEP support for broadcasting identity risk across the enterpriseDawud's advice: design for clinical and non-clinical together, and win over your loudest skeptics  A Little About Dawud:Dawud Gordon, Ph.D., is the CEO and Co-Founder of Twosense, a cybersecurity company revolutionizing identity security through continuous, invisible authentication. An award-winning researcher with a doctorate in Computer Science from the Karlsruhe Institute of Technology, Dawud leverages deep expertise in machine learning and behavioral biometrics to solve the friction of traditional Multi-Factor Authentication (MFA). Under his leadership, Twosense has developed a platform that automates security challenges on behalf of users, successfully securing millions in venture funding and key partnerships with organizations like the U.S. Department of Defense. His work bridges the gap between rigorous academic research and scalable enterprise solutions, transforming how organizations protect their infrastructure without compromising user experience. Driven by a vision to make security effortless, Dawud is defining the future of passive identity verification for the modern workforce.

Ransomware remains one of the biggest cybersecurity threats facing healthcare, but the threat landscape is changing rapidly. Attackers are becoming more targeted, ransomware-as-a-service is making sophisticated tools more accessible, and artificial intelligence is giving cybercriminals new ways to identify vulnerabilities and craft convincing attacks. In this episode of The Beat's Cybersecurity at ViVE series, Sandy Vance speaks with Dave Bailey, VP of Consulting Solutions & Strategy at Clearwater, about the evolving ransomware threat and what healthcare organizations can do to stay ahead of it. Dave explains why smaller healthcare organizations and specialty practices are increasingly attractive targets, how attackers are using AI to improve social engineering and phishing, and why traditional cybersecurity approaches may not be fast enough for the threats ahead. The conversation also explores why healthcare organizations need to understand their AI risk, establish guardrails, inventory their AI use cases, and prepare defenses that can respond at machine speed. Dave shares practical advice for organizations beginning their AI journey, while emphasizing that cybersecurity can no longer be something organizations assess once a year. It has to become a continuously monitored, evolving process. In this episode, they talk about: Why healthcare continues to be one of the most attractive targets for ransomware How ransomware attacks have shifted toward smaller healthcare organizations and specialty practices Why dental practices and specialty providers can be particularly appealing targets How ransomware-as-a-service has created a more scalable business model for cybercriminals Why cybercriminals increasingly operate like businesses How attackers decide which healthcare organizations to target Why post-COVID healthcare's rapid shift to telehealth changed the threat landscape How AI is making phishing and social engineering attacks more sophisticated Why AI creates new governance and risk-management challenges for healthcare organizations Why healthcare organizations need defenses that can operate at machine speed How frontier AI models could help attackers discover previously unknown software vulnerabilities Why patching needs to become faster as AI-powered attacks evolve Why healthcare organizations need to challenge vendors about their cybersecurity roadmaps How organizations can begin building an AI governance strategy Why organizations should inventory their AI use cases before trying to govern them How healthcare organizations can use a tiered approach to AI risk Why workforce training and communication are essential to responsible AI adoption Why cybersecurity risk assessment can no longer be a once-a-year exercise Why scalability and continuous monitoring will become increasingly important A Little About Dave: Dave Bailey is Vice President of Consulting Solutions & Strategy at Clearwater, where he leads the development and delivery of enterprise-level cybersecurity and risk management services for healthcare organizations nationwide. With more than 24 years of cybersecurity experience, including 14 years focused on healthcare, Dave is a trusted advisor to executive teams navigating complex regulatory, operational, and cyber risk challenges.   A recognized authority in cyber risk management and NIST Cybersecurity Framework assessment and implementation, Dave brings a strategic, business-aligned approach to security transformation. He previously served 13 years as a Communications and Information Officer in the United States Air Force, with leadership assignments spanning the Pentagon, domestic bases, and overseas operations.   Dave holds an Executive MBA from Quantic School of Business and Technology and is a CISSP, blending executive perspective with deep technical expertise.

Healthcare doesn't need more AI pilots. It needs AI that can prove its value. Healthcare organizations are moving beyond experimenting with individual AI tools and beginning to think about AI as enterprise infrastructure. But scaling AI across an entire health system requires more than adding algorithms. It requires integrated workflows, secure technology infrastructure, clinical validation, data governance, and measurable financial and clinical impact. In this episode of The Beat's AI at ViVE series, Sandy Vance sits down with Dr. David Stoffel, Chief Business Officer at RapidAI, to discuss how healthcare AI is evolving from point solutions into enterprise platforms. David explains how RapidAI expanded from its roots in stroke care to a broader clinical AI platform, why health systems are looking to consolidate dozens of AI pilots, and what it takes to connect imaging insights to action throughout the patient journey. The conversation also explores clinical AI, healthcare IT infrastructure, interoperability, AI governance, clinical validation, reimbursement, and ROI. David shares why the next phase of healthcare AI will be defined not simply by what an algorithm can do, but by whether it can produce measurable improvements in clinical care and financial performance. In this episode, they talk about: How RapidAI evolved from a stroke detection tool into an enterprise clinical AI platform Why healthcare is shifting from asking "Why AI?" to asking "How?" The three major challenges healthcare organizations are looking to AI to solve Why clinical impact, workforce capacity, and future-proof IT infrastructure all matter The problem with managing dozens or even hundreds of individual AI point solutions Why enterprise AI platforms can help connect workflows across departments What "deep clinical AI" means and how it can support the patient journey beyond initial disease detection How AI can quantify, visualize, localize, and track disease over time Why seamless workflow integration is critical to making AI useful in clinical practice How hybrid on-premises and cloud infrastructure can improve resilience during cybersecurity incidents Why AI governance and performance tracking are essential for turning a tool into an operational solution How RapidAI is incorporating third-party algorithms into its platform Why clinical validation remains central to successful healthcare AI adoption What CIOs should look for when evaluating AI platforms How health systems can evaluate clinical ROI and financial ROI Why reimbursement can help transform AI from a cost center into a potential profit center Why the healthcare AI market may be headed toward consolidation and simplification Why measurable clinical and financial value will ultimately separate successful AI companies from the rest A Little About David: David Stoffel, M.D., has spent more than 20 years developing and commercializing innovative technologies and services in the medical device industry. David has an extensive track record of success in scaling healthcare businesses. Notably, he led marketing and corporate development at Intuitive Surgical, contributing significantly to establishing the da Vinci surgical robotic system as a new surgical standard of care. He also helped launch and lead the Mobile Cardiac Telemetry business at iRhythm Technologies, one of the fastest-growing digital health companies, and was Chief Business Officer at Ceribell, maker of an innovative point-of-care EEG solution. Earlier in his career, David was a partner at a healthcare venture capital firm, where he invested in and helped build early-stage companies. He started his career in investment banking focused on corporate finance.  At RapidAI, David leads a variety of commercial, clinical, and operational teams, including Marketing, Customer Retention and Success, Clinical Affairs, Training & Education, Corporate Development, and Finance.  David has a BA in Economics from Stanford University and received an MD and MBA from the University of Chicago.

Artificial intelligence is rapidly changing healthcare, but successful AI adoption requires much more than choosing the right technology.  In this episode of The Beat's AI at ViVE series, Sandy Vance speaks with Dr. Melinda S. Kidder, DHA, MSN, RN, CENP, Chief Nursing Officer, Office of the National Coordinator for Health IT at the U.S. Department of Health and Human Services, and Bill Slovin, Chief Technology Officer at Brandon Systems, about what healthcare organizations need to get right before AI can truly deliver value. Their conversation explores some of the biggest challenges facing healthcare AI adoption, including fragmented data, interoperability, data quality, alert fatigue, clinician buy-in, patient safety, and the importance of understanding the problem before selecting an AI solution. Dr. Kidder and Slovin also dive into how healthcare leaders can evaluate AI and analytics vendors, why frontline clinicians need to be part of technology decisions, and how interoperability can help unlock more effective AI-powered care. In this episode, they talk about: Why healthcare still has a long way to go on interoperability How fragmented data limits the effectiveness of AI in healthcare Why AI is only as good as the data behind it The importance of getting clinical, financial, HR, and operational data to work together Why healthcare organizations should solve the problem before choosing an AI solution How AI could help reduce alert fatigue for nurses and clinicians Why technology adoption is often a cultural and workflow challenge, not just a technology challenge How to get clinicians involved in AI implementation and earn their trust Why frontline staff can make or break a technology implementation How government policy can support responsible AI innovation while protecting patient safety What interoperability means for the future of AI in healthcare How TEFCA is helping expand health information exchange What healthcare leaders should ask when evaluating an AI or analytics vendor Why continuous monitoring after an AI implementation is critical Why healthcare organizations should focus on business value instead of adopting AI simply because it is the latest technology A Little About Melinda and Bill: Dr. Melinda S. Kidder, DHA, MSN, RN, CENP is a healthcare leader and nurse informatics expert focused on advancing technology, interoperability, and AI in healthcare. A former bedside nurse, Dr. Kidder transitioned into informatics after working with her organization's IT department to implement and evaluate technology in the clinical setting. In her current role as Assistant Secretary for Technology Policy at the U.S. Department of Health and Human Services, she helps advance healthcare technology and interoperability while bringing a clinician's perspective to policy, education, and innovation. Bill Slovin is Chief Technology Officer at Brandon Systems, where he leads technology initiatives focused on healthcare, analytics, software development, and AI. With more than 25 years of experience in IT and software development, Bill began his career as a developer at Brandon Systems and has built deep expertise in healthcare systems and data-driven technologies. His work focuses on using technology to improve efficiency, support better patient outcomes, and advance digital transformation in healthcare.

On today’s episode, host Sandy Vance chats with Guillaume de Zwirek, CEO & Co-Founder of Artera. Artera is pioneering a new category in healthcare AI by pairing its agentic platform with dedicated AI Service Squads that build custom solutions directly alongside healthcare providers, solving urgent workflows from day one. With over a decade of experience, 2 billion annual patient interactions, and 1,000+ healthcare organizations served, Artera is proving that the future of healthcare AI isn't just about the technology. It's about having the right builders working directly with providers to strengthen how they communicate and care for patients. Healthcare organizations are under pressure to improve patient experience while reducing administrative burden and staffing challenges. In this episode of The Beat AI Series, Sandy Vance sits down with Guillaume de Zwirek, CEO and Co-Founder of Artera, to discuss how agentic AI is transforming patient engagement across the healthcare journey. From scheduling appointments and managing referrals to automating complex patient communications, Guillaume explains why AI is about far more than chatbots. He shares how Artera has evolved over the past decade, why healthcare organizations need a security-first approach to AI, and how intelligent automation is helping providers deliver better patient experiences while improving operational efficiency. Whether you're a healthcare executive, CIO, digital health leader, or AI innovator, this episode offers practical insights into what it really takes to deploy AI successfully in healthcare. In this episode, they talk about: Why patient experience remains one of healthcare's biggest unsolved problems How agentic AI is changing patient communication beyond simple chatbots Why healthcare organizations must rethink their entire operating model for AI The importance of security-first AI in highly regulated industries How Artera automates scheduling, referrals, billing, and patient engagement Why AI should augment human expertise instead of replacing it The role of foundation models in healthcare AI How customization at scale is becoming possible with AI Why healthcare leaders should focus on solving domain-specific problems rather than building their own large language models What separates true AI-native companies from organizations simply adding AI features How intelligent automation improves both patient satisfaction and operational efficiency A Little About Guillaume: Guillaume de Zwirek, CEO and co-founder of Artera, is at the forefront of the AI-first revolution in healthcare communications. With a decade of expertise and two billion annual patient communications, Artera is the proven leader in agentic healthcare.  Artera bridges the gap between human staff and AI Agents to fix patient communications across channels – text, phone, and web. The platform is designed to unify the entire patient journey, with the power to streamline everything from initial scheduling to post-visit billing. Trusted by over 1,000 healthcare organizations and federal agencies, Artera drives staff efficiency and improves provider outcomes, ensuring patients get the care they need with simplicity and speed.  Prior to founding Artera in 2015, Guillaume worked at Google and Graphiq.com (acquired by Amazon). He is a graduate of the University of Southern California with a B.A. in Classical Guitar Performance and a B.S. in Business Administration. A six-time Ironman athlete, Guillaume applies the same discipline and dedication to building a future where healthcare communication is intuitive, efficient, and AI-driven.

Healthcare organizations have more data than ever before, but turning that data into actionable insights remains one of the industry's biggest challenges. In this episode of The Beat AI in Healthcare Podcast, host Sandy Vance sits down with Nabil Jallouli, CEO and co-founder of Rollstack, to discuss how AI-powered reporting is helping healthcare organizations simplify value-based care reporting, improve decision-making, and scale personalized reporting without overwhelming their teams. Nabil shares why dashboards alone are no longer enough, why executives need trusted narratives instead of raw data, and how healthcare organizations can automate reporting while maintaining governance, security, and accuracy. Whether you work in healthcare leadership, data analytics, customer success, value-based care, or digital transformation, this conversation offers practical insights into using AI responsibly to improve reporting and business outcomes.  In this episode, they talk about: Why value-based care requires an entirely different approach to healthcare reporting The hidden "last mile" problem between business intelligence dashboards and executive decision-making Why healthcare organizations struggle with manual reporting despite major investments in analytics platforms How AI can automate repetitive reporting while keeping humans focused on strategy and relationships The importance of governance and trusted data in healthcare AI Why executives rarely spend more than a few seconds reviewing dashboards How personalized reporting improves payer, provider, and customer relationships The role of automation in scaling reporting across hundreds of healthcare partners Measuring ROI from AI reporting solutions and why reporting automation often delivers significant business value Why healthy skepticism around AI is actually helping healthcare adopt better long-term solutions How Rollstack protects sensitive healthcare data with enterprise-grade security and zero data retention policies What healthcare leaders should prioritize as AI adoption continues to accelerate A Little About Nabil: Nabil Jallouli is the co-founder and CEO of Rollstack, an enterprise platform helping companies like SoFi, Zillow, and Whirlpool automate their data-driven presentations and documents. Rollstack leverages deep integrations with leading business intelligence tools (Tableau, Power BI, Looker, and others) and AI to streamline reporting processes, including business reviews, EHR and HCP reporting, financial reporting, and client presentations. By eliminating manual copy-paste, reducing errors, and ensuring accuracy, Rollstack enables organizations to operate more efficiently and focus on decision-making rather than document preparation. The company is backed by Y Combinator and Insight Partners and is fully SOC 2 Type II and HIPAA compliant, meeting the highest standards of security and data protection for enterprise and healthcare customers. Before founding Rollstack, Nabil built his career leading data analytics and revenue strategy teams at Pinterest, Deel, and Groupon. Across these experiences, he observed a common problem: highly skilled professionals spending countless hours preparing slides and reports instead of focusing on high-value work and strategy. This recurring pain point ultimately inspired the creation of Rollstack. Nabil holds a Master of Engineering and dual Bachelor’s degrees in Mathematics, Physics, and Computer Science from École Centrale Paris.

In this episode, host Sandy Vance chats with Timothy Bennett, the Director of Strategic Healthcare Initiatives at Drummond Group, LLC, for his second appearance on the show. With nearly 20 years at Drummond and deep roots in ONC certification testing dating back to 2010, Tim brings a rare long-view perspective to one of the most important questions facing healthcare interoperability today: how do you actually test whether FHIR works at scale in the real world, not just in a proof-of-concept connectathon? This episode introduces FHIRplace, Drummond's new community-driven testing ecosystem, and digs into why business process rules, not just technical standards, are the real challenge standing between FHIR's promise and its production reality.  In this episode, they talk about: FHIRplace brings together providers, payers, technology vendors, and intermediaries to test FHIR implementations at real-world scale Testing conformance to a standard is not the same as proving true interoperability between systems Business process rules, like what documentation a health plan requires for prior authorization, sit outside the technical standards but are critical to real-world success Intermediaries are central to FHIRplace's testing model because point-to-point FHIR exchange is not feasible across millions of providers and thousands of health plans FHIRplace captures raw transaction data flowing through intermediaries to evaluate real-world interoperability issues, not just lab conditions HIPAA currently requires X12 for prior authorization, meaning a full replacement by FHIR will take years and likely result in a long-term hybrid approach FHIRplace plans to integrate with conformance tools like Inferno so members can get interoperability testing and standards validation in one place Drummond intends FHIRplace to be a 20-year testing ecosystem, not a short-term solution built around a single regulatory deadline A Little About Timothy: Timothy Bennett serves as Drummond’s Director of Strategic Healthcare Initiatives and leads the development of new testing and certification programs to benefit the national healthcare interoperability strategy. As the former director of the firm’s ONC Accredited Test Lab (ATL), he has been involved in testing electronic health records (EHR) systems since the ONC program's inception in September 2010 and has additionally served as the test lab’s lead technical adviser. Prior to healthcare compliance testing, Timothy facilitated numerous interoperability test programs, specifically the design of secure and private exchange of documents and information using internet and security standards. With a degree in nuclear engineering from the Georgia Institute of Technology, he has been instrumental in developing, architecting, and testing software systems for more than 30 years.  Timothy is a governing board member of Shift, a task force of industry stakeholders working through the barriers of equitable interoperability by addressing the obstacles of privatized patient health data exchange. He is actively developing testing and certification protocols for the Fast Healthcare Interoperability Resources (FHIR) standard in order to provide the market with comprehensive FHIR certification across the healthcare ecosystem. He also actively collaborates with industry leaders in the areas of testing and certifying healthcare compliance of pediatrics, patient safety and usability, FHIR and public health. Finally, Timothy was the principal author of the OASIS AS4 standard, a profile of the ebXML Messaging Services v3.0 specification for secure and private exchange of data using web services.

Introduction: In this episode of the AI at ViVE series on The Beat Podcast, host Sandy Vance sits down with Rachel Chen, Senior Director of Engineering at Plaud, to discuss how Plaud’s wearable AI note-taking technology helps clinicians reduce documentation burden and stay focused on patient conversations. Rachel also shares how Plaud is scaling its voice intelligence platform for professional and enterprise use cases, including healthcare. From a real-world story about an orthopedic surgeon bridging communication gaps with patients and families to Plaud’s approach to privacy, security, and workflow integration, this episode offers a grounded look at what responsible AI documentation support can look like in clinical settings. In this episode, they talk about: · Clinicians can spend around two hours a day on documentation, adding up to nearly 500 hours a year · How Plaud’s wearable AI note-taking devices help professionals capture conversations and turn them into structured, actionable information · How NotePin S supports mobile, in-person, hands-free professional settings · Plaud features such as medical vocabulary support, speaker differentiation, and SOAP note templates · Plaud’s approach to privacy and security, including encryption, user control, and a zero-training policy for user data · How Plaud positions itself as a platform and workflow partner, not just another documentation tool · A healthcare user story about an orthopedic surgeon using Plaud to help bridge communication gaps with patients and families · Plaud’s vision to become a trusted AI work companion for 50 million professionals worldwide by 2030 · Why permission, transparency, and intentional data handling are essential when capturing sensitive professional conversations A Little About Rachel: Rachel Chen is a technology leader with extensive experience building and scaling consumer and enterprise platforms across fintech, health tech, and e-commerce. She has held engineering leadership roles at GEICO, Ōura, Amazon, and Prudential, and began her career at Yahoo. At Plaud, Rachel leads engineering initiatives to deliver enterprise-ready, AI-powered products, including collaboration tools, device management, and scalable platform services. She is passionate about building strong engineering cultures grounded in ownership, accountability, and continuous improvement.

In this episode, host Sandy Vance chats with Brad Schoffstall, Vice President of Health and Compliance Programs at CGI, and Dr. James Peake, Senior Vice President and former Secretary of Veterans Affairs and Army Surgeon General. They have a wide-ranging and practical conversation about what it actually takes to modernize data infrastructure at federal health agencies. With Brad's 35 years at CGI and Dr. Peake's 16 years, this is a conversation grounded in hard-won experience rather than theory. Today’s conversation is a refreshingly honest and deeply practical perspective for anyone working at the intersection of government, healthcare, and AI.  In this episode, they talk about: Federal health agencies are running some of the largest healthcare operations in the world, with the VA equivalent in size to a Fortune 5 company Data silos created by contract-by-contract procurement are the primary barrier to AI-ready infrastructure at federal agencies Federated data platforms allow data to stay in its own repositories while being discoverable, mappable, and usable across the organization Policy is often the biggest obstacle to data sharing, and changing it requires executive-level support and shared governance Technology is the third most important factor in transformation; policy and business understanding come first and second CGI improved NHS Spine performance tenfold while reducing infrastructure to a tenth of its original size, saving a million euros in annual expenses Improper payments across federal health programs run into billions of dollars annually and represent one of the highest-impact areas for AI-driven improvement AI for AI's sake is not the answer; start with the business problem and work backward to the data strategy Start small with two or three systems, demonstrate value, and build from there rather than attempting a massive all-at-once implementation A Little About Brad and James: Brad Schoffstall has wide-ranging experience, deep knowledge, and skills in information technology. He has led multiple digital transformation efforts. He has 37 years of experience with a diverse set of architectures, operating systems, languages, and technologies. His experience includes enterprise architecture, cloud migration, and hands-on development. He also has significant experience in business development and project management. He has implemented large, complex systems on platforms ranging from mainframes to Microservices. He has successfully performed many solution architecture and SDLC engagements that include characteristics like high-volume processing, DevOps, and automation. He demonstrates expertise in multiple service-based secure architectures utilizing multiple application and enterprise solution sets, e.g., Data Driven, Microservices, Cloud, etc. Dr. James Peake is an American politician and former lieutenant general who served as the sixth Secretary of Veterans Affairs from 2007 to 2009. In 2004, he retired from a 38-year United States Army career, having served as the 40th Surgeon General of the United States Army. After retiring from the Army, Peake served as Executive Vice President and Chief Operating Officer of Project Hope,[4][5] a non-profit international health foundation operating in more than 30 countries. While at Project HOPE, he helped to orchestrate the use of civilian volunteers aboard the Navy Hospital Ship Mercy as it responded to the tsunami disaster in Indonesia and also as part of the Hurricane Katrina response aboard the Hospital Ship Comfort. Just before he was nominated Secretary of Veterans Affairs, Peake served as Chief Medical Officer and Chief Executive Officer for QTC, one of the largest private providers of government-outsourced occupational health and disability examination services in the nation.

For years, healthcare organizations focused on securing digital channels while treating phone calls as a trusted service channel. That assumption no longer holds true.  In this episode, Sandy sits with Jason Barr, the Vice President of Strategic Sales for Healthcare at Pindrop, who explains how AI-powered voice cloning, deepfakes, and synthetic identities are transforming the cybersecurity landscape. Jason shares how healthcare organizations can defend against AI-driven fraud, verify identity in real time, and protect patients, providers, and employees in a world where even a familiar voice may not be what it seems. In this episode, they talk about: AI has transformed the phone from a trusted service channel into a rapidly growing cybersecurity threat vector for healthcare organizations. Cybercriminals can now use AI-powered tools to launch thousands of voice-based attacks per day, dramatically increasing the scale and efficiency of fraud attempts. Many attackers use voice channels not for immediate theft, but for reconnaissance, collecting sensitive information that can later be used to target providers, payers, and patients. Traditional identity verification methods such as knowledge-based questions and one-time passcodes are becoming increasingly vulnerable to modern fraud tactics. Continuous identity verification is emerging as a new security model that validates users throughout an interaction rather than only at the point of authentication. Pindrop analyzes thousands of signals during voice interactions to determine whether a caller is who they claim to be, whether they pose a risk, and whether they are even human. Healthcare organizations are facing a growing challenge in distinguishing between legitimate automation and malicious AI-powered bots. Deepfake technology is now sophisticated enough to mimic both voices and video, creating new risks across hiring, workforce management, and patient-facing operations. Help desks and support centers remain attractive targets because attackers often use social engineering tactics to pressure employees into resetting credentials. Voice-based security solutions can reduce fraud while simultaneously improving operational efficiency and the customer experience. One healthcare organization achieved a 90% reduction in fraud after implementing voice authentication and risk detection technology. Healthcare leaders must begin evaluating voice security as part of their broader cybersecurity strategy, as AI-enabled attacks continue to grow at an unprecedented pace.  A Little About Jason: As a West Point graduate and former U.S. Army Officer, Jason brings the operational rigor, discipline, and leadership foundation of combat-tested command into the boardroom and the GTM arena. He thrives where GTM transformation is mission-critical: aligning strategy to investor outcomes, building high-performing teams, and delivering predictable growth.

In this episode of the AI at ViVE series on The Beat Podcast, host Sandy Vance welcomes back Peter Horadan, CEO of Vouched, for a fascinating and forward-looking conversation about one of the most consequential shifts happening in digital identity right now. Digital driver's licenses are no longer a curiosity at TSA checkpoints. They are becoming a global standard, and healthcare is one of the industries that stands to benefit most.  From eliminating duplicate patient records to defending against deepfake fraud to solving the emerging challenge of AI agent identity verification, Peter lays out a clear and compelling vision for what healthcare identity infrastructure needs to look like in the very near future. If you work in telehealth, healthcare IT, compliance, or patient access, this episode will make you think very differently about something most organizations have never considered a strategic priority.  It is believed that about 7% of people in the United States have a digital driver's license today, with estimates reaching 30% adoption by the end of this year and 50% by the end of 2027. If you aren’t having conversations for this shift, learn why it matters and how to incorporate it into your patient intake.  In this episode, they talk about: Seven US states are currently issuing digital driver's licenses, and over 30 have  announced plans to do so California has already issued over two million digital driver's licenses, and the EU mandates adoption across all 27 member nations by the end of this year Digital IDs live in a secure chip on your phone, cannot be copied or forged, and require a live biometric to use Between 5 and 15% of electronic health records either have duplicate records for the same patient or multiple patients sharing one record, and strong identity verification at intake is the fix Vouched dramatically reduces patient drop-off rates at the identity verification step, as evidenced by MyStart Health's 40% net business impact Digital IDs actually enhance privacy because they allow users to share only the specific attributes needed, like confirming age without revealing anything else AI agents are already showing up in healthcare workflows, and healthcare organizations need to think now about how to verify that an agent is trustworthy, authorized by a real patient, and actually who it claims to be Vouched released the MCP-I specification a year ago as an open standard for AI agent identity verification, now adopted by the Decentralized Identity Foundation and expanded under the name KYA-OS By the end of 2026, Vouched predicts 40 to 50% of US adults will have a digital driver's license  A Little About Peter: Peter Horadan is the CEO of Vouched, the AI identity verification platform that’s transforming how leading Healthcare and Financial Services companies onboard and verify people—instantly and securely. Throughout his career, Peter has led the charge in replacing slow, manual workflows with scalable, automated systems that unlock efficiency, reduce costs, and create measurable impact. From digitizing expense reporting at Concur to streamlining sales tax compliance at Avalara, Peter has helped modernize core business processes across industries. His leadership reflects a deep understanding of how automation can drive growth, compliance, and customer experience at scale. Peter has also held leadership positions at Alavara, Scout Analytics, Microsoft, Corillian, and BEA Systems.

Workforce security in healthcare is no longer just about compliance—it’s about creating a seamless, secure digital experience for employees and patients.  In this episode, host Sandy Vance chats with Chandramouli Dorai, Chief Evangelist - Cybersecurity Solutions and Digital Signatures at Zoho.com. Today, they will explore how password management, secure browsers, multi-factor authentication (MFA), identity and access management (IAM), and identity verification in document signing all come together to build a zero-trust, future-ready healthcare workforce.  Healthcare organizations are under constant pressure to strengthen cybersecurity without slowing down clinicians and staff.  In this episode, they talk about: Healthcare organizations face a constant challenge in balancing strong cybersecurity protections with the need for convenience and productivity. Weak and reused passwords remain one of the most common vulnerabilities across organizations, despite years of awareness efforts. The 2024 Change Healthcare cyberattack demonstrated how a single account without multi-factor authentication can lead to massive data breaches and operational disruption. Employees often disable or avoid MFA because they perceive it as adding friction to their daily workflows. Modern authentication strategies must tightly integrate password management, single sign-on, and MFA to reduce friction while improving security. Passwordless authentication methods such as passkeys, Face ID, and Touch ID are helping organizations improve both security and user experience. Organizations adopting passwordless authentication are seeing measurable reductions in login time and increased user adoption. Identity and access management platforms can enforce role-based and time-based access controls to reduce unnecessary exposure to sensitive systems. AI-powered behavioral analytics can detect suspicious login activity and help organizations respond more quickly to threats. Secure onboarding and offboarding processes are critical for protecting healthcare data and preventing unauthorized access. Many healthcare organizations still operate in complex legacy environments, making interoperability and integration essential for workforce security solutions. CIOs should approach AI adoption strategically by first understanding their current environment, educating users, and implementing changes in phases. A Little About Mouli: Chandramouli Dorai (Mouli) is the chief evangelist for cybersecurity solutions and digital signatures at Zoho Corporation. Mouli brings over 12 years of experience leading marketing and product strategy at Zoho. He carries an active interest in topics like workforce productivity, security, trust, and compliance, often sharing his thoughts and expertise on social media platforms like X and LinkedIn.  “The greatest example is the 2024 Change Healthcare breach, which happened because of one compromised account. That one account lacked multi-factor authentication, which was a loose end, and the attacker was able to get into the network and get away with millions of confidential records. The major problem is the trade-off between security and convenience.”