AI at ViVE Podcast

About AI at ViVE Podcast

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.

Publisher

CHIME and HLTH

Category

business

Language

en

Explicit

No

First episode

18 Feb 2026

Latest episode

12 Oct 2026

Latest episodes

18 episodes in the feed.

1. 

   12 Oct 2026

   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 (https://www.linkedin.com/in/jeremykreyling/), the SVP of Healthcare Informatics at NeuroFlow (https://www.neuroflow.com/), 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:

2. 

   25 Aug 2026

   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, (http://linkedin.com/in/david-stoffel-b624ab10) Chief Business Officer at RapidAI (https://www.rapidai.com/), 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.

3. 

   17 Aug 2026

   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 (https://www.linkedin.com/in/melindakidder), 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 (https://www.linkedin.com/in/billslovin), Chief Technology Officer at Brandon Systems (https://www.brandonsystems.com/), 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.

4. 

   20 Jul 2026

   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 (https://www.linkedin.com/in/guidezwirek/), CEO and Co-Founder of Artera (https://artera.io/), 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 (https://artera.io/), 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 (http://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.

5. 

   2 Jul 2026

   How Plaud Is Tackling Clinician Burnout One Conversation at a Time

   In this episode of the AI at Vibe series on The Beat Podcast, host Sandy Vance sits down with Rachel Chen (https://www.linkedin.com/in/rachel-chen-engineering/), Senior Director of Engineering at Plaud (https://www.plaud.ai/), to talk about how a wearable AI device is helping clinicians reclaim the nearly 500 hours a year they spend on documentation. Rachel brings a wealth of engineering leadership experience from Geico, Aura, Amazon, and Prudential to her work scaling Plaud's voice intelligence platform, which is already used by 70,000 healthcare workers, including nurses, psychologists, and surgeons. From a real-world story about an orthopedic surgeon bridging language barriers with patients to a clear distinction between ambient scribing and platform partnership, this episode offers a grounded look at what responsible, scalable AI documentation can look like in clinical settings. In this episode, they talk about: Clinicians spend an average of two hours a day on documentation, adding up to nearly 500 hours a year Plaud's wearable device, NotePin S, is credit card-sized, hands-free, and built to last a full clinical shift Over 70,000 healthcare workers globally use Plaud every day, including nurses, psychologists, and surgeons Plaud's software includes built-in medical vocabulary, speaker differentiation, and SOAP note templates All audio is encrypted, the platform is fully HIPAA compliant, and patient data is never used to train AI models or shared with third parties Plaud positions itself as a developer platform and partner, not just another ambient documentation scribe Dr. William Chiu, an orthopedic surgeon, uses Plaud to bridge communication gaps with patients who speak English as a second language or are elderly Plaud's vision is to become a trusted AI work companion for 50 million professionals worldwide by 2030 Permission and intentional data handling are built into the product from the ground up, given the sensitivity of always-on wearable recording 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.

6. 

   15 Jun 2026

   How CGI Is Helping Federal Health Agencies Get AI-Ready

   In this episode, host Sandy Vance chats with Brad Schoffstall (https://www.linkedin.com/in/brad-schoffstall-28b9b547), Vice President of Health and Compliance Programs at CGI (https://www.cgi.com/us/en-us/federal), and Dr. James Peake (https://www.linkedin.com/in/james-b-peake-md-ltg-ret-8a2a6313/), 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.

7. 

   8 Jun 2026

   How Digital Driver's Licenses Are About to Transform Healthcare Identity Verification

   In this episode of the AI at ViVE series on The Beat Podcast, host Sandy Vance welcomes back Peter Horadan (https://www.linkedin.com/in/peterhoradan), CEO of Vouched (https://www.vouched.id/), 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.

8. 

   4 May 2026

   How Bland Is Replacing Legacy IVR Systems and Fixing Healthcare's Phone Problem

   In this episode, host Sandy Vance chats with Isaiah Granet (https://www.linkedin.com/in/isaiah-n-granet/), co-founder and CEO of Bland (https://www.bland.ai/), for a sharp and eye-opening conversation about one of the most overlooked bottlenecks in healthcare: the phone call. Bland now handles 3.5 million phone calls a week, has raised over $100 million, including a $40 million Series B, and is backed by Emergence Capital, Scale, and Y Combinator. Isaiah brings a refreshingly honest take on what it actually takes to get voice AI into production in healthcare, why most vendors are just talking about it rather than doing it, and why the security risks hiding in third-party AI dependencies should be keeping every healthcare CIO up at night. In this episode, they talk about: Most people call a call center because they are at the end of the line and cannot solve their problem any other way The best voice AI systems conform to the caller, not the other way around Intake is the fastest path to ROI for health systems deploying voice AI for the first time Bland tracks emotional sentiment, call escalation rates, and a unique metric called utterances to measure patient experience quality Bland does not use OpenAI or any third-party LLM under the hood, meaning PHI never touches an outside vendor Health systems should demand that calls go live within 30 days and measurable automation within 60 days A single third-party dependency, three steps removed from a vendor, recently led to a class action lawsuit Always declare that it is an AI agent on the call; deceptive practices destroy the trust that voice AI depends on The CIO role is becoming one of the most important in any healthcare organization, as AI decisions multiply A Little About Isaiah: Isaiah values community, family, and impact above all else. He believes that building for impact is what makes life. In addition to being the cofounder and CEO of Bland, he also sits on the board of the nonprofit he founded, the San Diego Chill.

9. 

   27 Apr 2026

   How Limina Is Making Sensitive Health Data Safe for AI

   In this episode, host Sandy Vance sits down with Patricia Thaine, (http://linkedin.com/in/patricia-thaine?originalSubdomain=ca) co-founder and chair of Limina (https://www.getlimina.ai/en) (formerly known as Private AI), for a fascinating conversation about one of the most underappreciated bottlenecks in healthcare AI adoption: the privacy of unstructured data. With a background in natural language processing and privacy research, Patricia built the company from the ground up to solve a problem most organizations did not even know they had. Today, her platform helps health systems, research organizations, and payers de-identify everything from clinical notes to ambient listening data so they can train models, share data for research, and move their AI initiatives forward without putting patient privacy at risk. If your AI initiative is stalled because of privacy concerns, this episode is exactly what you need to hear. In this episode, they talk about: 80 to 90% of healthcare data is unstructured, and most organizations have no idea what sensitive information is hiding in it Cloud providers require you to send your data outside your environment, and that alone is a dealbreaker for many health systems De-identification is not just about removing names; quasi-identifiers like age ranges, locations, and diagnoses all factor into re-identification risk The goal is to keep re-identification risk below 0.04%, not just strip out obvious fields Training AI models on real PHI creates a memorization problem where the model can regurgitate patient information in production Providence Health has used Limina since the early days to train patient and physician-facing chatbots safely A mature privacy-to-AI operating model requires statisticians, product teams, IT, governance, and legal all at the table LIMINA rebranded from Private AI because the old name kept attracting requests for on-premise LLMs, which is not what they do A Little About Patricia: Patricia Thaine is the Co-Founder & Chairwoman of Private AI, a Microsoft-backed startup that raised their Series A led by the BDC. Private AI won the Privacy Innovation Award at PICCASO 2024, was named a 2023 Technology Pioneer by the World Economic Forum, and was a Gartner Cool Vendor. Patricia is also the host of The Data Frontier podcast and was on Maclean’s magazine Power List 2024 for being one of the top 100 Canadians shaping the country.

10. 

    13 Apr 2026

    Turning Healthcare AI from Vision to Verified Impact with Pegasus One

    What does it really take to get a healthcare AI product past the proof-of-concept stage and into production? In this episode of the AI at ViVE series on the BEAT Podcast, host Sandy Vance sits down with Tushar Puri (https://www.linkedin.com/in/tusharpuri/), CEO of Pegasus One (https://www.pegasusone.com/), and Sebastian Ouslis (https://www.linkedin.com/in/sebastian-ouslis-3446b9148/), Co-Founder of ChartR Health (https://www.chartrhealth.com/), to find out. Together, they pull back the curtain on how ChartR is building an autonomous analytics platform that lets hospitals interrogate their own data across silos in real time, and how Pegasus One's SONG framework is the foundation making it possible. From managing agent drift to the very real stakes of lagging data in sepsis care, this conversation is a masterclass in building healthcare AI that can actually go from pie-in-the-sky to impact you can quantify. In this episode, they talk about: Why most healthcare AI projects never reach production The real meaning behind the SONG framework How data silos slow down hospital decision-making Turning weeks of analysis into minutes with AI The hidden cost of poor workflow integration Why governance must be built in from day one The importance of designing for real-world healthcare systems How ChartR enables continuous analytics across hospital data What agent drift is and why it matters long term The role of partnerships in building scalable AI products A Little About Tushar and Sebastian: Tushar Puri is the Founder and CEO of Pegasus One, where he helps organizations build scalable AI and software products that actually make it to production. With more than 15 years in product engineering, he specializes in bridging the gap between technical innovation and real-world implementation, especially in healthcare. Sebastian Ouslis is the Co-Founder of ChartR, an AI-driven healthcare analytics platform focused on turning complex clinical data into real-time insights. His work centers on using AI to help hospitals continuously learn, adapt, and improve patient outcomes.

11. 

    6 Apr 2026

    How UAMS Is Scaling AI Across the Enterprise with Luma Health

    AI in healthcare is moving fast, but what does real, operational impact actually look like? In this episode, host Sandy Vance chats with Aditya Bansod (https://www.linkedin.com/in/adityabansod/), CTO and co-founder of Luma Health (https://www.lumahealth.io/), and Michelle Winfield-Hanrahan (https://www.linkedin.com/in/michelle-winfield-hanrahan-msn-mha-bsn-rn-b3b2593b/), RN BSN MHA MSN about this very topic. They share how the University of Arkansas for Medical Sciences (https://www.uams.edu/) is scaling AI beyond the call center and into complex, high-friction workflows like fax processing and patient access. From backfilling missed appointments to transforming referral intake, this conversation dives into what it takes to build trust, move quickly, and turn AI into measurable results across an entire health system. In this episode, they talk about: How UAMS identified a high-impact, low-risk entry point for AI in call center workflows Turning after-hours cancellations into filled appointments and improved patient access Why trust in the partner matters just as much as trust in the technology Expanding from AI call handling to backend fax automation How AI is reducing referral lag time and improving data visibility The power of an EHR-first strategy and working inside existing workflows Avoiding “AI sprawl” and the challenge of managing too many point solutions Real talk on ROI: operational efficiency, revenue lift, and happier patients Why success builds momentum for scaling AI across departments Practical advice for health systems navigating the explosion of AI vendors A Little About Aditya and Michelle: Aditya Bansod is CTO and co-founder of Luma Health. With a lifelong passion for building software, Bansod leads Luma Health’s technical vision and strategic direction for building a Patient Success Platform that empowers healthcare providers to serve their patients better and improve healthcare outcomes. With over 15 years of experience as a product management leader developing mobile solutions at Adobe and Microsoft, and at venture-backed start-ups, Bansod made the transition from B2B software solutions to healthcare in 2015 to have a meaningful and measurable impact on how providers use mobile technologies to engage with and communicate with their patients. Michelle Winfield-Hanrahan, RN BSN MHA MSN, is a seasoned healthcare clinical operations executive with over 20 years of experience in optimizing patient access, improving patient engagement, and streamlining clinical operations. Throughout her career, Michelle has demonstrated a strong ability to lead cross-functional teams and implement strategic initiatives that enhance the patient experience, increase operational efficiency, and drive sustainable growth. In her current role as Chief Clinical Access Officer and Associate Vice Chancellor of Access at the University of Arkansas for Medical Sciences, Michelle oversees patient access and flow from both the outpatient and inpatient setting, ensuring seamless patient flow and appointment scheduling, reducing wait times, and improving overall patient satisfaction. She has spearheaded innovative solutions that leverage technology to enhance patient communication and engagement, ensuring that patients remain informed, involved, and empowered throughout their healthcare journey. Michelle is dedicated to driving innovation in healthcare operations and is committed to making quality healthcare more accessible and efficient for all.

12. 

    23 Mar 2026

    How Optura Is Helping Healthcare Organizations Actually Transform

    In this episode, host Sandy Vance and Andy Fanning, (https://www.linkedin.com/in/andyfanning/) the CEO & Co-founder of Optura.ai (http://optura.ai), sit down to talk about why so many healthcare organizations are making AI headlines without actually transforming anything. Andy breaks down how Optura helps payers, providers, and life sciences companies move from a scattered list of AI ideas to a prioritized, production-ready roadmap with measurable return on investment. From crowdsourcing use cases across an entire organization to aligning AI investments with executive strategy, this episode is packed with practical insight for any healthcare leader who wants AI to actually move the needle. In this episode, they talk about: Most healthcare leaders feel they are not moving fast enough with AI, despite the headlines Shadow AI is just an unmet need, and governance is the answer Crowdsourcing AI ideas from the bottom up reveals hotspots that leadership often cannot see Aligning AI use cases to existing strategic initiatives makes adoption dramatically easier Point solutions do not share context, and that missing context is where the real value lives Return on AI investment requires defining what value actually means for your specific organization Agentic AI is the next big wave, and organizations need to decide where they sit on the risk spectrum Trust at the frontline is built by showing workers how AI follows their own standard operating procedures If finance cannot see the ROI, they will conclude that AI does not work A Little About Andy: Andy is the Co-Founder and CEO of Optura.ai, where he's on a mission to help healthcare organizations stop dabbling in AI and start seeing real returns from it. His team built an AI Orchestration Platform designed from the ground up for healthcare, giving organizations the infrastructure, trust, and clarity to turn AI ambition into measurable ROI. The platform does it all in one place: spotting high-value AI opportunities, building and deploying custom agents, unlocking data without the ETL headache, auto-generating workflows from existing SOPs, and tracking return on AI investment in real time. No black boxes, no guesswork. Just AI that actually proves its worth.

13. 

    16 Mar 2026

    How Synthetic Data Is Unlocking the Future of Model Training

    In this episode, host Sandy Vance sits down with Adam Kamor (https://www.linkedin.com/in/adamkamor/), Co-founder and Head of Engineering at Tonic.ai (http://tonic.ai), to tackle one of the most pressing challenges in healthcare's AI adoption: what to do with sensitive data you legally cannot access. Adam breaks down how Tonic AI helps healthcare organizations de-identify and synthesize unstructured data so they can train AI models safely, stay HIPAA compliant, and actually unlock the value sitting behind their firewalls. If your organization is eager to build AI-powered workflows but unsure how to handle patient data responsibly, this episode is a must-listen. In this episode, they talk about: Most valuable healthcare data is too sensitive to use for AI training without de-identification HIPAA is actually an advantage because it gives organizations a clear roadmap for safe data use Tonic Textual replaces PHI in unstructured documents with realistic synthetic values Synthetic data must closely mirror real data for AI models to perform well in the field If a model is trained on PHI, it risks regurgitating patient information in outputs Privacy compliance should be addressed at the start of an AI project, not as an afterthought Many organizations do not realize solutions already exist to help them use their data safely A Little About Adam: Adam manages the team creating Tonic Textual, Tonic.ai's platform for unstructured data redaction and synthesis. He has spent the last 12 years as a leader at the intersection of data privacy, AI, and software engineering.

14. 

    3 Mar 2026

    From EHR Aspiration to Measurable Impact: Turning Investment into Sustained Enterprise Value

    In this episode, Rajkumar Thirunavukkarasu (https://www.linkedin.com/in/rajt/), SVP & Head of Healthcare Provider Business at Tech Mahindra (http://techmahindra.com) , and LaDonna Sweeten (http://linkedin.com/in/ladonna-sweeten-262127a), EHR Practice Lead at The HCI Group (http://hcigroup.com), a fully owned subsidiary of Tech Mahindra, discuss how health systems can transform their EHR from a static system of record into a dynamic performance engine. The conversation also highlights a unique market differentiator: the combined strength of The HCI Group’s deep EHR and provider-focused expertise with Tech Mahindra’s global technology scale, engineering depth, automation capabilities, and innovation track record. Together, this partnership brings end-to-end capabilities—from EHR optimization and managed services to advanced data engineering, AI integration, and enterprise digital transformation—delivered at scale with measurable outcomes. Listeners will gain insight into how leading organizations are moving beyond implementation toward sustained transformation—leveraging global innovation, cross-industry engineering excellence, and healthcare-specific expertise to drive lasting value. In this episode, they talk about: HCI Group grew from staff augmentation to a full solutions provider after the Tech Mahindra acquisition Many providers aren't fully utilizing EHR systems despite heavy investment Providers face simultaneous pressure from workforce shortages, shrinking margins, and new regulations HCI and Tech Mahindra use each org's own data to tailor strategy rather than a one-size-fits-all approach AI is set to significantly disrupt revenue cycle management Ambient listening technology is reducing the clinician documentation burden End-to-end workflow reimagination is recommended over isolated AI pilots Patients now expect the same seamless experience from healthcare as they get from retailers Houston Methodist's new campus was cited as a model for automated, frictionless clinical workflows Value-based care is now mandatory, making urgent AI adoption a necessity not a choice A Little About Rajkumar: Raj T is a dynamic and accomplished business leader with over two decades of global experience in managing high-impact client relationships and driving growth in the healthcare technology space. Currently, Raj is serving as SVP & Head of Healthcare Provider Business at Tech Mahindra, where he leads strategy, delivery, and innovation for some of the world’s leading healthcare organizations. Raj's collaborative leadership style and results-driven mindset have consistently delivered value to clients, making him a trusted advisor in the healthcare technology ecosystem. Raj is passionate about harnessing technology to improve patient outcomes, streamline provider operations, and enable data-driven decision-making across the care continuum. and LaDonna: LoDonna leads enterprise healthcare technology strategy and delivery for health systems nationwide. She specializes in EHR transformation, workflow optimization, managed services, and digital enablement, partnering with executive leaders to ensure technology investments drive measurable clinical, operational, and financial impact. LaDonna uses data and best-practice benchmarks to identify performance gaps, prioritize high-value opportunities, and design targeted improvement roadmaps. She then applies structured governance and performance monitoring to mitigate risk and ensure intended benefits are realized. Her passion is helping provider organizations transform their EHR from a system of record into a data-informed performance engine that supports fiscal sustainability and provider resilience.  She understands that in today’s margin-compressed and highly regulated environment, optimization has to be measurable and sustainable, not just aspirational.

15. 

    2 Mar 2026

    Trust Is the Foundation of Healthcare AI with Solventum

    In this episode, host Sandy Vance chats with Hari Bala (http://linkedin.com/in/hari-bala1), the Chief Technology Officer for Health Information Systems at Solventum (https://www.solventum.com/en-us/home/). Together, they explore how healthcare organizations can build trust and confidence around AI adoption, drawing on insights from Solventum’s recent global survey (https://www.solventum.com/en-us/home/resources/stories/global-survey-captures-healthcare-professionals-views/) of healthcare professionals. The research highlights a growing demand for AI alongside concerns that innovation could increase pressure on clinicians. Hari shares practical perspectives on how AI can support rather than overshadow providers, improve efficiency without compromising quality, and help organizations introduce new technologies in ways that feel safe and sustainable. Listen to learn how leaders can ensure clinicians feel comfortable incorporating AI into their daily workflows while improving the overall patient experience. The three key trust factors and why trust is the foundation for AI adoption Why trust is the currency of successful implementation The role of AI in improving patient care and clinician efficiency How speed and quality can improve together rather than compete Key findings from Solventum’s healthcare AI adoption survey The cultural and mindset shifts required for successful implementation The impact of AI on the patient experience How leaders can evaluate potential technology partners Hari Bala joined Solventum as Chief Technology Officer for Health Information Systems in May 2025. He brings more than 25 years of experience building scalable, distributed systems using generative AI, data science, analytics, and machine learning across healthcare, cloud, and security. Before Solventum, Hari led AI, data, analytics, and cloud transformation initiatives at GE Healthcare and Oracle Cerner. At Oracle, he helped establish the AI Services organization and led development of the Health Data Intelligence and Analytics platform, a near real-time, cloud-based population health solution, while advancing AI and machine learning tools for clinical use. Earlier in his career, Hari spent nearly 19 years at Microsoft in leadership roles across Azure and several core enterprise technologies. In this episode, they talk about:A Little About Hari:

16. 

    23 Feb 2026

    How Agentic AI Is Changing Healthcare From Integration to Impact

    In this episode, host Sandy Vance and Ted Dinsmore (https://www.linkedin.com/in/teddinsmore/) discuss the ever-evolving role of AI in healthcare, industry trends, challenges, and solutions. They explore the concept of agentic AI and the Model Context Protocol (MCP), which aims to enhance data integration and efficiency in healthcare systems. They also highlight the importance of building trust in AI solutions, particularly in rural healthcare settings. Listen in to learn how SphereGen is addressing these challenges through innovative AI implementation approaches. In this episode, they talk about: Latest AI trend: agentic AI and bots, and MCP in the healthcare industry MCP allows us to speed up that integration Trust is a huge issue when you're having an impact on the patient The benefits of using MCP for hospitals and patients The concerns about the changes and cuts to rural healthcare The most common use cases when transitioning: eligibility, prior authorization, and denials management The effects on how healthcare systems are doing business with EHRs Next big use cases and what’s coming up next Solving challenges in rural healthcare over the next few years How rural healthcare and homecare are tied At the end of the day, it’s all about how AI can help free up time for people A Little About Ted: Ted Dinsmore is the President of SphereGen Technologies, located in New Haven, Connecticut, Toronto, Canada, and Pune, India. SphereGen is a software consulting firm that develops and supports custom software solutions for clients in AI and Automation, Application Development, and Extended Reality (AR, VR, MR). His experience in the world of IT spans over 30 years. When Ted started his first consulting firm, he became invested in developing and supporting Microsoft solutions for large multinational companies. Wanting to stay at the forefront of emerging technologies, his current company, SphereGen, embraces the world of AI/Automation and Mixed Reality (MR). SphereGen focuses on improving processes for healthcare organizations by leveraging innovative technologies, along with partners UiPath and Microsoft, to solve business problems.

17. 

    20 Feb 2026

    How Intelligent Automation Is Changing Healthcare Informatics

    AI is revolutionizing how health information is managed. Utilizing sophisticated algorithms, it can assist professionals in making more informed decisions. For instance, optical character recognition (OCR) can read and interpret medical records, identifying potential compliance issues and ensuring every page represents the correct patient. In this episode, host Sandy Vance chats with Anupriyo Chakravarti (http://linkedin.com/in/anupriyo), the Chief Technology and Product Officer at Verisma (https://verisma.com/), about how healthcare organizations can use intelligent automation to reduce risk and uncover compliance gaps in order to free staff to work at the top of their license. In this episode, they talk about: What Verisma can do for healthcare organizations Use case examples Some of the risks Verisma mitigates by finding missteps like unauthorized disclosures AI is taking over the world of informatics Enabling people to work at the top of their license is critical People are not anti-AI, they are anti-opacity A Little About Anupriyo: Anupriyo Chakravarti joined Verisma Systems, Inc. in 2017 as the Senior Vice President of Research and Development. Anupriyo brings 25 years of experience as a highly effective leader in healthcare IT product management and software development for Fortune 500 companies and startups. Anupriyo joined Verisma after serving as vice president of product management and marketing at McKesson, where he led the product management and marketing functions of the Extended Care Services (ECS) business unit. Before McKesson, he worked for 11 years at Surgical Information Systems (SIS), where he led software development, and ultimately product management, to deliver solutions for the surgery and anesthesia departments at health systems and ambulatory surgery centers. Prior to working with SIS, Anupriyo worked for Arthur Andersen, Ryder Dedicated Logistics, IBM and TATA Motors. Anupriyo has a bachelor’s degree in mechanical engineering from IIT Roorkee in India.

18. 

    18 Feb 2026

    The AI Blueprint for Precision Medicine

    The data necessary to achieve the promise of precision medicine are now available with low-cost whole-genome sequencing, microbiome analysis, proteomics, and other large datasets. Bioscope has developed a team of AI personas to help clinicians realize that promise in a way that will revolutionize the practice of medicine. In this episode, Sandy Vance speaks with Don Brown, MD (https://www.linkedin.com/in/don-brown-md/), Founder and CEO of Bioscope (https://www.bioscope.ai/), about how AI and large-scale biological data are converging to make precision medicine practical for clinicians. They explore Don’s entrepreneurial journey, the origins of Bioscope, and how a subscription-based, clinician-first approach is shaping the future of personalized care. In this episode, they talk about: Don Brown’s unconventional journey from double-wide to CEO of a groundbreaking company The inspiration behind founding Bioscope and the problem it was created to solve How Don’s “entrepreneurial bat signal” attracted talent, partners, and early momentum Why Bioscope began by partnering with concierge medical practices rather than large health systems How Bioscope’s per-patient, per-year subscription model works in practice Real-world use cases and early case studies demonstrating clinical impact What the current early rollout looks like and where Bioscope is headed next A Little About Don: Don Brown, MD, is a serial software entrepreneur, physician, and leader in precision medicine. Over his career, he has founded and scaled multiple groundbreaking technology companies, including Software Artistry, Interactive Intelligence, LifeOmic, and most recently Bioscope.AI. His companies have collectively generated billions in value through public offerings and acquisitions by organizations such as IBM, Genesys, and Fountain Life. In addition to his entrepreneurial work, Don is an active advisor, investor, and philanthropist, including a $30 million gift that established the Brown Immunotherapy Center at Indiana University School of Medicine. Don holds a bachelor’s degree in physics and a master’s degree in computer science from Indiana University, an MD from Indiana University School of Medicine, and a master’s degree in biotechnology from Johns Hopkins University. A lifelong learner, he is fluent in multiple languages, an instrument-rated pilot, an avid outdoorsman, and the author of Understanding Life. He currently serves as Founder and CEO of Bioscope.AI, where he is focused on transforming how clinicians use data to deliver personalized care.

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