AI at ViVE Podcast

CHIME and HLTH

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Welcome to The AI at ViVE Podcast, where we dive into the artificial intelligence solutions that are driving automation, generative, and agentic AI in the healthcare space. Follow this series to develop the skills you need to evaluate use cases, plan your next move in the world of democratized experimentation, and stay in the know on the latest AI technology breakthroughs.

3d ago

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 evidence How BMJ Group is evolving from traditional publishing to digital clinical intelligence How knowledge graphs connect clinical guidelines, conditions, tests, and treatments Why complex patients need more than rules-based clinical decision support How evidence-based recommendations can help address AI hallucinations and explainability Why 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 tools A 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.
Oct 26

From AI Oversight to Agent Governance: Rethinking the Guardrails for Healthcare AI

As healthcare AI evolves from tools that generate recommendations to agents capable of accessing data and taking action across systems, governance has to evolve with it.In this episode of The Beat's AI at ViVE series, host Sandy chats with Corinne Pellows, the Director of product management at Rhapsody about the growing need for real-time AI governance. They explore why written policies alone aren't enough, how health systems can manage AI agent permissions and data access, and where human oversight belongs in increasingly autonomous workflows. Corinne also discusses how organizations can use Rhapsody® Guardian to build flexible safeguards that evolve alongside AI. Remember, responsible AI requires more than setting policies. It requires putting them into action. In this episode, they talk about: ● Why AI agents introduce new governance risks when they move from advice to action ● How to manage AI agent permissions like employee access privileges ● Why written AI policies need real-time technical enforcement ● How Rhapsody Guardian supports AI and API governance ● Why healthcare organizations need visibility into what data AI agents access ● When human oversight is essential and when it can create unnecessary friction ● How risk-based policies can evolve alongside AI technology ● Why effective AI governance must work with existing healthcare infrastructure About Rhapsody® Guardian:Guardian helps you put your AI policies into practice. It authenticates AI agents and API callers, enforces the access permissions and rate limits you set as requests occur, and keeps an audit trail you can review. Use it on its own or alongside Rhapsody, Corepoint, or another integration platform. Learn more about Rhapsody Guardian Corinne Pellows is Director of Product Management at Rhapsody, bringing more than a decade of experience in healthcare interoperability and care coordination. She focuses on helping healthcare organizations securely connect data, embrace emerging AI technologies, and put practical governance safeguards in place. Her work bridges healthcare's interoperability foundations with the next generation of AI-powered workflows.
Oct 12

How AI Is Transforming Behavioral Health

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. How AI can identify behavioral health needs that haven't yet been diagnosed Why healthcare AI models should reflect the populations they're designed to serve How machine learning can make behavioral health outreach more targeted Why finding a provider isn't enough if the patient doesn't stay in care How AI agents can take administrative work off highly trained care managers Why behavioral health still lags physical health in analytics and integration How measurement-based care can identify when treatment isn't working Why AI should create more meaningful patient care, not simply more patient volume 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. In this episode, they talk about:A Little About Jeremy:
Aug 25

How Healthcare AI Is Moving From Point Solutions to Enterprise Infrastructure | David Stoffel, RapidAI

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. 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.
Aug 17

What Healthcare Leaders Need Before Implementing AI with Dr. Melinda Kidder & Bill Slovin

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.
Jul 20

How Artera Uses Agentic AI to Transform Patient Experience 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.
Jul 2

How Plaud Helps Clinicians Reduce Documentation Burden, One Conversation at a Time

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.
Jun 15

How CGI Is Helping Federal Health Agencies Get AI-Ready

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.

Welcome to The AI at ViVE Podcast, where we dive into the artificial intelligence solutions that are driving automation, generative, and agentic AI in the healthcare space. Follow this series to develop the skills you need to evaluate use cases, plan your next move in the world of democratized experimentation, and stay in the know on the latest AI technology breakthroughs.

Creator

CHIME and HLTH
Years Active

2026
Episodes

20
Rating

Clean
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© CHIME and HLTH
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AI at ViVE Podcast