In this episode, Dr. Roy Schoenberg, CEO of Aileen and Founder and Executive Director of Amwell, reflects on the evolution of telehealth and shares a bold vision for AI’s role in reshaping care delivery. He argues that telehealth has largely been used as a substitute channel for traditional visits, whereas its true potential lies in redistributing expertise and democratizing access to care at scale.

Dr. Schoenberg sees AI becoming the primary entry point to healthcare, guiding patient journeys through intelligent, cost-driven pathways while working in concert with, rather than replacing, clinical systems. Through his new venture, Aileen AI, Dr. Schoenberg introduces a fundamentally different approach to virtual care: building “staying power” in patients’ lives through deeply personalized, relationship-driven AI interactions, for seniors. By focusing on familiarity, trust, and daily engagement—delivered through simple interfaces like phone calls—Aileen aims to address the growing caregiving gap. Ultimately, he emphasizes that while AI adoption will evolve gradually, its role as a foundational layer in healthcare is inevitable. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Michael Hasselberg, Chief Transformation and Digital Officer at Nebraska Medicine, makes a compelling case that sustainable digital transformation in healthcare requires more than technology, it demands the right organizational structure. By unifying IT, innovation, and strategy under a single transformation office, health systems can move from isolated pilots to enterprise-wide impact.

Drawing from his journey across telehealth, mobile apps, VR, and AI, Dr. Hasselberg emphasizes that true transformation is about redesigning systems to deliver the right care at the right time. Nebraska Medicine deploys nearly one new generative AI tool per month, automating capacity management, discharge workflows, and revenue cycle operations. He also highlights the value of real-world innovation units where new technologies are tested with live patients before system-wide deployment.

Dr. Hasselberg’s most provocative insight: the next frontier of AI readiness isn’t a new technology, it’s application rationalization. He argues that to lead in AI and innovation, health systems must simplify their tech stack. Take a listen.

In this episode, Dr. Stephen K. Klasko, former CEO of Jefferson Health, Executive in Residence at General Catalyst, Board Chair at DocGo, Teleflex, and one of healthcare’s most provocative voices, challenges the industry to rethink its fundamental assumptions and move toward a more sustainable, patient-centered future. He argues that despite years of discussion around value-based care and digital transformation, true disruption has been limited because stakeholders remain unwilling to fundamentally change existing business models.

Dr. Klasko argues that the healthcare system is broken, fragmented, expensive, and inequitable and that true disruption, like what Uber did to taxis or Amazon to retail, will demand that some players fail. He makes the case that the annual physical visit is a farce, and that continuous health narratives powered by wearables and AI companions are the future of proactive, personalized care.

On the tech-provider collaboration front, Dr. Klasko identifies – founder ego, misaligned incentives, and EHR-era skepticism as the biggest barriers. He advocates for co-developing solutions, sharing equity, and building genuine partnerships. Dr. Klasko’s message to healthcare leaders is unambiguous: stop turning things around 360 degrees and start making real, uncomfortable changes. Take a listen.

This guest appearance was facilitated through conversations initiated at Health Tech Summit by Cornell Tech.

In this episode, Dr. Eric Stecker, Co-founder and Chief Medical Officer at Insight Health, explores how autonomous AI agents are reshaping cardiovascular care and population health in the United States.

Dr. Stecker draws a critical distinction between autonomous action and autonomous decision-making, arguing that AI can deliver enormous clinical value today by acting autonomously on well-established care protocols, without waiting for fully autonomous diagnostic AI. He highlights that preventable conditions like hypertension and high cholesterol already have decades of evidence behind them; the real gap is in implementation, where AI-powered agents can identify at-risk patients, prompt appropriate prescriptions, and check in on medication adherence by reducing millions of avoidable cardiac events.

Dr. Stecker emphasizes that clinician involvement, not just advisory oversight, is essential to avoid alert fatigue, documentation overload, and signal-to-noise failures. He states that meaningful AI adoption requires building trust with both healthcare workers and patients, starting with autonomous action today while responsibly advancing toward autonomous clinical decision-making tomorrow. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Rachel Feinman, SVP of Innovation and Managing Director, TGH Ventures at Tampa General Hospital, shares how the organization is breaking out of “pilot purgatory” to turn digital innovation into measurable impact. With a clear mandate to move beyond endless experimentation, the focus is on starting with a strong thesis, partnering intentionally, and scaling quickly when results are proven.

Rachel reflects on her journey from law to healthcare, bringing a unique lens on strategy, execution, and deal-making. She highlights the balance healthcare must strike that is moving fast in operational and administrative workflows while taking a deliberate, governance-led approach to clinical innovation. This “go slow to go fast” mindset enables both safety and speed.

She also underscores the growing role of AI in improving logistics, supporting care teams, and unlocking real-time insights, while emphasizing responsible deployment. Beyond technology, the real opportunity lies in connecting fragmented care journeys and extending care beyond hospital walls to create a more seamless, patient-centered experience. Through strategic investments and a focus on outcomes, Tampa General is building an innovation model designed to scale impact, not just ideas. Take a listen.

In this episode, Aditya Bansod, CTO and Co-Founder of Luma Health, about why healthcare AI often underdelivers — and what leaders must do to turn promise into performance.

Aditya argues that AI’s challenge in healthcare isn’t ambition, but execution. While new tools are emerging rapidly, most remain point solutions that fail to integrate into the complex workflows that move patients from scheduling to care delivery. True impact, he says, depends on orchestrating the “last mile” of healthcare, referrals, intake, documentation, and the countless operational handoffs that determine whether care actually happens.

He shares how Luma approaches AI adoption with flexible guardrails, allowing health systems to calibrate automation based on confidence thresholds and maturity. The conversation also explores the rise of agentic AI, the tension between human-in-the-loop oversight and autonomy, and why CIOs are navigating a messy but necessary consolidation phase.

Looking ahead, Aditya is optimistic that AI will transform patient access and engagement, only if it’s deeply embedded into workflows, not layered on top of them. Take a listen.

In this episode, Dr. Andrea Willis, SVP and Chief Medical Officer at BlueCross BlueShield of Tennessee, shares how payers can harness AI to advance affordable, accessible, and more human-centered care.

From her clinical roots to leading population health, quality, and health equity initiatives, Dr. Willis brings a deeply personal commitment to service. She describes how AI is being deployed across care management and utilization management, not to replace clinicians or deny care, but to augment teams, accelerate evidence-based decisions, and close gaps in care. In care management, AI-powered summarization and prompting help staff stay fully present with members while improving engagement and measurable outcomes. In utilization management, transparency, evidence-based criteria, and clear documentation remain foundational to rebuilding provider trust. She also highlights that relevance matters more than data volume, and that guided self-service must balance automation with timely human escalation.

Dr. Willis emphasizes transparency in prior authorization, cross-functional governance, AI literacy goals across the enterprise, and strong PHI protections. For here, scaling AI responsibly – through interoperability, collaboration, and measurable impact – is key to rebuilding trust and transforming the healthcare experience. Take a listen.

In this episode, Dr. Amit Phull discusses what responsible AI adoption in healthcare really looks like, starting with trust, usability, and preserving clinician judgment. He emphasizes that ease of use and confidence in outputs are non-negotiable for clinician adoption, especially in already time-constrained workflows.

The discussion also explores why AI must be built with clinicians, not simply deployed for them, and how poorly integrated tools risk adding friction instead of value. Dr. Phull also talks about preserving a clinician’s “spidey sense”—the intuition developed through experience—while using AI to augment, not override, clinical judgment. The conversation also touches on how success should be measured beyond dashboards, including recurrent use, time savings, and reductions in burnout.

Dr. Phull states that AI, when designed thoughtfully, can help clinicians reclaim time, sharpen expertise, and focus more fully on patient care, without losing the human edge that defines great medicine. Take a listen.

In this episode, Dr. Chethan Sathya, Vice President of Strategic Initiatives at Northwell Health, unpacks why healthcare innovation only scales when clinicians, public health, and AI are designed to work together.

Dr. Sathya shares his journey from surgery to journalism to public health advocacy, including leading gun violence prevention efforts. He explains why most AI pilots fail, because of poor workflow integration and clinician burden, and why ambient intelligence, tele-specialty care, and agentic AI are poised to scale. His message is clear: build technology alongside clinicians, not around them. Take a listen.

In this episode, Jonathan Bush, Founder & CEO of Zus Health, shares a bold vision for the next phase of healthcare transformation. Drawing on decades of experience, Jonathan argues that while EHR adoption is largely complete, today’s systems remain fee-for-service–oriented, creating fragmented views of patients – what he describes as the “blind men and the elephant” problem. The result: clinicians still lack a complete, longitudinal picture of the patient and rely on repeated tests and “bags full of records.”

Jonathan explains how Zus Health is re-architecting healthcare data by creating a longitudinal, always-on common patient record. Zus is an API-first platform built on an AI-enabled backbone that aggregates, structures, and continuously updates data across multiple EMRs. He emphasizes the power of network effects, where shared intelligence can eliminate redundant tests and unnecessary care.

The conversation also explores why interoperability must move beyond regulatory compliance to become core infrastructure for value-based care, and how AI-driven summarization and agentic workflows can reduce clinician burden while enabling proactive, patient-centered care. Take a listen.

In this episode, Dr. Greg Goldmacher, Associate VP of Clinical Research at Merck, known as MSD outside of the United States and Canada, explains how AI is transforming imaging, clinical trials, and early-stage drug development. Greg describes endpoints as the core of every clinical trial, since they determine whether a therapy is safe or effective. He notes that AI is not new to imaging and aligns well with pattern recognition, yet its real value lies in identifying details that humans often miss.

Greg stresses that drug development still depends on huge volumes of data spread across legacy systems. Without strong data standardization, AI cannot deliver reliable results. He also points to the FDA’s evolving guidance on AI and emphasizes the need for rigorous validation before using AI-derived measurements for regulatory decisions.

Greg highlights the opportunity to improve efficiency, reduce human burden, and generate more consistent insights. With thoughtful adoption, AI can support better decisions in clinical development and improve outcomes for patients. Take a listen.

In this episode, Lisa Hunter, Senior Director of Federal Policy and Advocacy at United States of Care, discusses how her organization is working to ensure every American has access to affordable, high-quality care, with a particular focus on rural communities. She explains the new Rural Health Transformation Program—a 50-billion-dollar, five-year federal investment that gives states a rare opportunity to redesign rural health delivery, address workforce gaps, and move toward “patient first care” models that emphasize coordination, whole-person care, and sustainable payment structures.​​

Lisa highlights a growing trust gap around AI in healthcare, noting that patients are more comfortable with AI in back-office and ambient use cases compared to roles that feel like they replace clinicians. She stresses the need for rigorous listening, research, and language that resonates with people, so policy and technology decisions reflect real experiences rather than abstract concepts. Take a listen.

In this episode, Matthew Blosl, CEO of DexCare, discusses how he helps high-growth healthcare technology companies navigate critical inflection points by pairing disciplined focus with a culture that embraces failure as a path to innovation. He describes DexCare’s journey from a Providence Health incubated initiative to a scaled care orchestration platform that helps health systems address a “trilemma” of rising patient demand, clinician shortages, and margin pressure.

Matt explains DexCare’s co-innovation model, where every health system becomes an innovation partner rather than a one-size-fits-all implementation, enabled by modern data and AI capabilities. He outlines a pragmatic AI roadmap: first improving internal operations, then enhancing existing products, and finally accelerating true product innovation, while warning that AI can easily drive teams off-mission without strong focus. Matt also points out how fast things are shifting in healthcare and encourages leaders to rethink how they run their organizations and come together more often to tackle the challenges ahead. Take a listen.

In this episode, Dr. Felicia Newhouse, Founder of AI-Powered Women, highlights the need for human centered leadership as the foundation for AI’s future in healthcare. Reflecting on her near-death experience and two decades in tech, she warns that rapid automation may boost efficiency but often leaves people feeling overwhelmed, disconnected, and burned out.

Dr. Newhouse emphasizes that true progress requires qualities only humans can bring, empathy, intuition, emotional intelligence, and what she describes as “systems awareness” and “systems feeling.” These capabilities help leaders understand the broader human impact of digital tools and design AI that supports well-being rather than replacing human judgment.

She urges organizations to slow down, prioritize dignity and belonging, and adopt AI in ways that strengthen human connection. According to Dr. Newhouse, the real unlock for healthcare will come when AI is guided by compassion, humanity, and mindful leadership. Take a listen.

In this episode, Dr. Chris Gallagher, Founder and Chief Strategy Officer at Access TeleCare, shares valuable insights on the evolution of AI, how virtual care is reshaping access, staffing, and costs across health systems, and why making technology effortless is the key to driving a successful virtual-first care strategy.

Chris recounts the pioneering achievement of building the first virtual ICU in Texas in 2013, which quickly proved life-saving and marked a turning point in virtual health adoption. He discusses how they are addressing physician distribution issues by augmenting in-person staff, shifting its focus from predominantly rural to 70% urban facilities by offering essential 24/7 virtual specialists to care teams. Chris stresses that solutions must be effortless for clinicians, “Fisher Price easy,” so adoption becomes self-perpetuating.

Chris highlights AI’s immense potential to improve efficiency, enhance physician experience, and expedite patient care, especially through automation and a future “virtual-first” healthcare strategy. Take a listen.

In this episode, Charles E. Christian, VP of Technology and CTO at Franciscan Health, shares reflections from his five-decade journey in healthcare IT and how Franciscan is blending mission, compassion, and innovation to transform patient care.

Chuck explains how the health system is approaching AI adoption through strong governance and a clear focus on solving real problems, from reducing clinician burden to enhancing care delivery. He highlights several key initiatives, including voice agent pilots that help physicians reclaim after-hours time, a Tech Innovation Lab that allows teams to safely experiment and “fail fast,” and a virtual nurse mentoring program that connects senior nurses with new graduates for real-time guidance.

Chuck states that technology should serve, not distract, and the true goal of digital transformation is to enable better care for people. Take a listen.

In this episode, Anil Saldanha, Chief Innovation Officer at Rush University System for Health shares how Rush is addressing deep-rooted health inequities in Chicago by targeting the life expectancy gap through bold, system-wide interventions.

Anil highlights Rush’s commitment to public health, chronic disease management, and early cancer detection by referring to innovative initiatives like Rush Connect Plus, which is an on-demand, subscription-based virtual care model, and the rollout of Grail’s multi-cancer early detection test. He explains their use of cutting-edge AI technologies, from ambient listening and AI-powered symptom checkers to novel behavioral health kiosks leveraging multi-agent generative AI for PTSD care.

Anil points to the impact of consumer-driven digital tools, health equity analytics, and a data warehouse that will enable targeted interventions for chronic care. He closes with optimism about AI’s future in healthcare, the shift toward “connected care anywhere,” and the growing role of empowered, informed patients. Take a listen.

In this episode, Dr. Paul Yi, Associate Member, Department of Radiology, Section Chief of Intelligent Imaging Informatics (I3) at St. Jude Children’s Research Hospital, shares his journey from radiology training at Johns Hopkins to leading AI initiatives at St. Jude, focusing on pediatric cancer and other catastrophic diseases. 

Dr. Yi highlights how AI is transforming the radiology workflow, from automating imaging protocols and improving image reconstruction to translating complex medical reports into patient-friendly language. He emphasizes the importance of data strategy, discussing the integration of clinical EMRs, PACS, and research databases, ensuring interoperability while leveraging domain expertise across disciplines. He explores generative AI applications, including virtual imaging trials that simulate patient populations for safer, faster, and cost-effective clinical research, as well as patient-facing applications like AI chatbots for healthcare education, noting both potential and limitations in trust and accuracy.

Dr. Yi reflects on bridging research and commercialization, underscoring the need to align academic and industry incentives. He envisions a future powered by multimodal AI models that combine imaging, vitals, labs, and clinical text to deliver comprehensive, personalized insights – accelerating precision care and innovation in pediatric oncology. Take a listen.

In this episode, Dr. Andreas Michaelides, Clinical Psychologist helping shape Clinical AI with Google and Former Chief of Psychology at Noom, discusses the evolving intersection of technology and psychology, emphasizing how digital platforms and behavioral science can drive meaningful health outcomes at scale.

Drawing from his extensive experience at Noom and current role at Google, he highlights the value of integrating personalized care, education, and accountability through innovative technologies such as AI and wearables. Dr. Michaelides explores the ethical complexities and societal impact of AI-driven health solutions, underscoring the necessity for thoughtful governance and responsible implementation. He notes the transformative potential of predictive analytics and adaptive digital tools in enabling better assessments, interventions, and relationships between humans and technology.

Dr. Michaelides encourages practitioners to embrace uncertainty, unlearn traditional paradigms, and innovate by merging expertise with curiosity. While acknowledging fears around the rapid pace of tech advancement, he conveys an optimistic outlook on the future of digital health and behavioral change. Take a listen.

In this episode, Jan Beger, Global Head of AI Advocacy at GE Healthcare, shares his mission to bridge the gap between the conceptual promise and real-world impact of AI in healthcare. He stresses on the critical need to build AI literacy and trust among clinicians, executives, and students, and explains why a human-centric approach and strong change management are critical for successful adoption.

Jan highlights GE’s global AI literacy programs that train employees and clinicians on responsible use, practical applications, and critical evaluation of AI. He highlights how moving beyond pilots to strategic, systemwide deployment requires continuous education, executive engagement, and a focus on change management. He also spoke about GE’s successes such as improved efficiency in software development and innovations like AI-guided handheld ultrasound devices that democratize imaging by supporting users of varied expertise, as well as the challenges of keeping AI tools robust and up-to-date.

Jan addresses the future of the workforce, noting that adaptability and tech fluency will be essential as 70% of job skills evolve by 2030. He encourages healthcare leaders to see AI not just as technology, but as a transformative tool to enhance care and outcomes. Take a listen.

In this episode, Thomas Fuchs, Chief AI Officer at Eli Lilly, shares his journey from early machine learning research to spearheading transformative AI initiatives across the pharmaceutical value chain. Lilly is running over a thousand AI projects—from drug discovery and development to manufacturing and commercial operations—leveraging innovations like language models for chatbots, computer vision for quality control, and biomarker development.

Thomas emphasizes trust, transparency, and collaboration as critical to AI adoption, supported by AI certification programs for all Lilly technology employees, as well as AI education resources being made available for everyone at Lilly. He also highlights the company’s unique “lab-in-the-loop” setups that generate synthetic data to accelerate innovation.

Thomas shares real-world successes, including AI-assisted drug discovery and intelligent chatbots, and how AI is building confidence across the organization. With robust data infrastructure and scalable strategies for synthesizing large datasets, Lilly is driving rapid innovation. Thomas predicts faster drug design, broader access to medicines, and continuous education as defining trends for AI in healthcare. Take a listen.

In this episode, Dr. Girish N. Nadkarni, Chief AI Officer at Mount Sinai Health System, discusses his background as a physician-technologist and his vision for AI in healthcare as a tool that augments rather than replaces clinicians.

Dr. Nadkarni shares insights on how AI is reshaping healthcare. He describes AI as an ‘arbitrage of knowledge for time,’ enabling physicians to spend less time on administrative work and more time with patients. He also shares real-world examples including ambient AI scribes that eliminate manual note-taking and predictive models that detect patient deterioration hours before it occurs, especially in critical care units such as the NICU. Dr. Nadkarni distinguishes predictive AI’s deterministic approach from generative AI’s flexible, non-linear potential, emphasizing the need for governance, ethics, and trust in deploying both. He outlines Mount Sinai’s cross-functional framework—spanning care, operations, workforce, and research—supported by an assurance lab to monitor bias and safety.

Dr. Girish highlights current AI applications that save physicians time and enable proactive care, while predicting future developments will include multimodal integration of text, voice, images, and video to better reflect clinical decision-making processes. Take a listen.

In this episode, Dr. Michael Docktor, Co-founder and CEO at Dock Health, shares his journey from being a pediatric gastroenterologist at Boston Children’s Hospital to building a healthcare technology company. Inspired by his sister’s medical experiences and his family’s design background, Dr. Doctor combined medicine, design, and technology to address inefficiencies in operational workflows, particularly the administrative burdens that weigh heavily on providers and staff.

Dr. Docktor explains how Dock Health was created to serve as a productivity platform for healthcare, filling the gap between electronic health records (EHRs) and the countless administrative tasks not supported by them. By digitizing and streamlining processes like referrals, patient intake, and care coordination—often still managed through faxes, emails, and spreadsheets—Dock Health aims to reduce redundancy, improve visibility, and enhance the overall user experience for healthcare organizations of all sizes.

The conversation also focuses on the role of AI and automation in transforming healthcare operations. Dr. Docktor highlights Dock Health’s “AI‑first” approach, incorporating generative AI and agentic models to automate routine tasks while keeping humans in the loop for oversight. He envisions a near future where administrative inefficiencies are largely eliminated, giving clinicians more time with patients. Dr. Docktor also describes AI as the “big unlock” that could massively reduce the trillions wasted annually in healthcare administration, making care more efficient, accessible, and patient‑centered. Take a listen.

In this episode, Sameer Sethi, SVP and Chief AI & Insights Officer at Hackensack Meridian Health, shares how the health system is embedding AI directly into clinician workflows, moving from theory to real-world transformation.

Sameer outlines practical applications such as specialty-specific clinical note summarization, which reduces “pajama time” for physicians and improves patient interactions, and sentiment analysis of patient survey data, which surfaces actionable insights at scale. He also describes Hackensack’s AI governance framework – a board-approved structure with six strategic focus areas, guided by cross-departmental representation to ensure safe, effective adoption.

Emphasizing that AI solutions serve as decision-support rather than decision-making tools, Sameer highlights the importance of keeping a “human in the loop.” He sees agentic AI as the next frontier – integrating LLMs, RPA, and rule engines to automate complex processes such as prior authorizations and denial management. The result: faster workflows, administrative efficiency, and truly personalized care at scale. Take a listen.

In this episode, Ramesh Kumar, CEO and Co-founder of Zakipoint Health, shares his perspective on addressing healthcare’s persistent challenges—high costs, lack of price transparency, and fragmented care. He emphasizes that patients, or ‘members,’ often struggle to understand the true value of care, even as regulatory pushes for transparency continue.

Ramesh highlights how greater data visibility and patient empowerment can shift the system toward value-based outcomes. He emphasizes that true digital transformation goes beyond compliance and organizations must leverage transparency in data to create actionable insights for patients, employers, and providers alike. He also discusses the role of AI and agentic AI in simplifying complexity, reducing administrative burden, and enabling more personalized, efficient care delivery.

Ramesh underscores the need for co-creation between payers, providers, and technology innovators to build sustainable solutions. For him, the convergence of transparency, digital innovation, and AI marks a pivotal moment to reimagine healthcare’s future. Take a listen.

In this episode, Dr. Regina Druz, Founder and CEO at Holistic Heart Centers, shares her journey from conventional hospital-based cardiology to leading the charge in personalized precision medicine and longevity-focused care. She explains why optimizing health is the cornerstone of extending lifespan and how digital health innovations must deliver value for patients, clinicians, and caregivers—improving outcomes, reducing burnout, lowering costs, and meeting regulatory demands.

A pioneer in telemedicine, digital devices, and AI tools such as ambient scribes and large language models, Dr. Druz examines the opportunities and challenges of Agentic AI in transforming healthcare workflows. She envisions a near future where AI goes beyond administrative tasks to provide advanced clinical decision support—predicting and preventing conditions like Alzheimer’s and heart failure years before symptoms arise.

For Dr. Druz, the “N-of-1” approach—tailoring care to each individual’s unique biology and circumstances—will become the new standard, redefining population health through truly personalized care. Take a listen.

In this episode, Inderpal Kohli, Healthcare Executive Leader (Englewood Health, HSS, and Columbia University Medical Center), shares his vision for scalable digital health transformation. He outlines a proven framework focused on patient engagement, clinically integrated care, and remote patient monitoring—strategies that have already driven an 18–20% increase in online scheduling and improved outcomes in preventive care campaigns.

Inderpal also reflects on how a chance project in biomedical informatics sparked his passion for digital transformation, leading to pioneering work in digital pathology, remote monitoring, and digital front door solutions. He explores the promise of ambient documentation in reducing clinician burden and enhancing satisfaction, and addresses the persistent challenge of integrating EHR systems with third-party tools—stressing the importance of seamless integration for meaningful impact.

He also discusses the potential of digital twins as a game-changer, shares lessons on building agile, consumer-focused digital teams, and weighs in on how GenAI and agentic automation are poised to reshape care delivery. Take a listen.

In this episode, Ashis Barad, Chief Digital Technology Officer at the Hospital for Special Surgery (HSS), discusses his journey in rehumanizing healthcare through digital health transformation. A practicing pediatric gastroenterologist, Ashis advocates for tech that genuinely solves problems, viewing himself as a “doctor first, technologist second.”

Ashis stresses on Agentic AI and change management as pivotal elements in healthcare transformation. Healthcare is inherently workflow-centric, not a series of isolated moments. Barad explains Agentic AI as a workflow orchestrator designed to reduce administrative waste, enhance patient experience, and accelerate the adoption of best practices.

Ashis outlines HSS’s strategy to leverage its specialized focus to build a modern data lakehouse architecture and deploy AI-powered solutions through key partnerships. He envisions rehumanizing healthcare by automating backend processes, expanding clinician-patient time, and codifying best practices that can be scaled globally, especially in musculoskeletal care and movement. Take a listen.

In this episode, Michael Marchant, Director of Digital Applications at Sutter Health, shares his expert perspective on how interoperability and AI are reshaping the future of healthcare. He discusses the promise of TEFCA (Trusted Exchange Framework and Common Agreement) in expanding data exchange beyond treatment to support broader care coordination. He also highlights California’s Data Exchange Framework as a model for equitable and inclusive health information sharing across diverse communities.

The conversation explores the real-world applications of generative AI in clinical settings, from ambient documentation to AI-powered inbox agents that reduce administrative burden and help clinicians deliver faster, more personalized care.

Michael emphasizes the importance of assistive, not autonomous, AI, spotlighting use cases where technology enhances the capabilities of care teams without replacing the human touch. Drawing on decades of experience in health IT and data policy, Michael offers a grounded yet visionary take on building scalable, interoperable, and patient-centered digital ecosystems. Take a listen.

In this episode, Michael Hughes, Senior EVP, Chief Transformation and Innovation Officer at United Church Homes, shares how the organization is reshaping the future of senior living. Moving beyond a traditional housing-first model, United Church Homes is leading a shift toward a wellness-first approach that prioritizes health, dignity, and independence for older adults. 

With more than 100 communities across 15 states, the organization is leveraging scalable, data-driven strategies to support aging in place, particularly for vulnerable populations. Mike explains how understanding and addressing social determinants of health (SDOH) is key to improving outcomes, and how machine learning is helping evaluate the impact of non-clinical interventions in real-world settings.

From transitioning fall detection to fall prevention, to exploring lightweight sensor technologies, Mike emphasizes the importance of proactive care and personal motivation in sustaining long-term wellness. He also introduces the organization’s Entrepreneur-in-Residence (EIR) program—a unique initiative that brings innovators into senior communities to co-create human-centered solutions rooted in real-life experience. Take a listen.

In this episode, J.D. Whitlock, Chief Information Officer at Dayton Children’s Hospital, discusses how a smaller pediatric health system is embracing digital transformation and generative AI while navigating resource constraints.

Mr. Whitlock shares how platforms like Epic, Workday, and Microsoft are enabling innovation from within, especially through features like ambient documentation and coding assistance. With a fast-follower mindset, Dayton Children’s focuses on adopting proven tools from peer organizations rather than being the first to experiment. Mr. Whitlock emphasizes the importance of balancing hard ROI with softer benefits such as improving physician satisfaction and reducing burnout.

He also discusses the challenges of innovation in pediatric care, where many AI tools are still designed with adult medicine in mind. From building data infrastructure to enabling smarter imaging through a vendor-neutral archive, Mr. Whitlock highlights the importance of governance, strategic procurement, and cross-functional collaboration in delivering sustainable innovation. Take a listen.

In this episode, Alicia Abella, AI Product Lead at Novo Nordisk, discusses how she is helping drive responsible AI adoption in the pharmaceutical industry. She shares her early experiences in AI, starting with her PhD research at Columbia University on image processing and natural language processing. 

At Novo Nordisk, the current focus is on applying AI to commercialization functions including – marketing, legal, and HR – beyond its traditional use in drug discovery. Alicia highlights key use cases such as generative AI for knowledge search, content generation for marketing campaigns, and traditional AI techniques for deriving insights about healthcare providers. She also emphasizes the importance of applying a product mindset to AI development by evaluating user needs, business value, and compliance from the outset.

Alicia notes that adding effective governance can help innovation move in the right direction. She also talks about an internal AI Ambassador Program and emphasizes the importance of designing intuitive AI tools to increase adoption. She concludes by discussing future trends in AI, including contextual intelligence, user-centric design, and the opportunity for AI to enhance, rather than replace human decision-making. Take a listen.

In this episode, Sara Vaezy, Chief Transformation Officer at Providence, discusses Providence’s strategic approach to digital transformation, consumer engagement, and responsible AI adoption to improve both patient and caregiver experiences. 

Sara highlights the importance of delivering personalized, frictionless, and proactive healthcare experiences across digital touchpoints. At Providence, a standout initiative is the use of conversational AI to enable ‘message deflection’ which reduces the volume of patient messages sent to physicians by helping patients resolve queries instantly through intelligent chatbots. Sara emphasizes building a digital workforce not just to automate routine tasks, but to rethink and redesign workflows creatively. With foundational investments in cloud infrastructure, unified data systems, and interoperability, Providence is well-positioned to scale AI use cases like ambient documentation and care navigation. 

Sara also shares how Providence has incubated and spun off innovative startups like DexCare and Praia Health to address critical gaps in supply-demand matching and patient personalization. She advocates for ethical AI governance, better observability tools, and designing AI-native healthcare processes that go beyond simply replacing human tasks. Take a listen.

In this episode, Dr. Vishisht Mehta, Director of Interventional Pulmonology, Comprehensive Cancer Centers of Nevada and also the Department Chair of Pulmonology at MountainView Hospital, discusses his passion for clinical practice and emerging technologies like AI and telemedicine. 

Dr. Mehta shares how his interest in AI began through vendor outreach and evolved into a deeper exploration of its applications in pulmonology, particularly in early lung cancer detection and functional imaging. He highlights the persistent underutilization of lung cancer screenings, with only 5–6% of eligible patients getting screened, and notes AI’s role in identifying high-risk individuals and managing lung nodules. He also emphasizes the value of telemedicine in improving patient access and outcomes. 

Dr. Mehta has also created a resource hub – https://pulmonary.ai/ – and produced educational videos to guide clinicians in understanding and adopting AI tools. He advises that physicians must gain foundational AI literacy to make informed technology decisions in an increasingly digital healthcare landscape. Take a listen.

In this episode, Aneesh Chopra, Chief Strategy Officer at Arcadia shares a bold vision for advancing healthcare equity through smarter data use, AI, and workflow innovation. He unpacks the journey from the early days of “meaningful use” to today’s AI-powered, value-based care landscape, highlighting how intelligent workflows can reach underserved populations and improve outcomes at scale.

Aneesh introduces the concept of a “healthcare information fiduciary,” a model where apps and platforms act solely in the patient’s best interest, free from institutional financial incentives. He discusses how this, combined with emerging AI capabilities and interoperability standards like CMS’s FHIR APIs, can empower consumers and scale high-impact care delivery.

With real-world success stories, from improved hospital ratings via conversational AI to national gains in ADT data coverage, this episode offers healthcare leaders a roadmap for driving innovation through public-private collaboration and patient-centered data strategy. Take a listen.

In this episode, Rob Posner, Chief Technology Officer, AbsoluteCare discusses how the organization is transforming care delivery through a member-centric, value-based model that emphasizes advanced care management and the social determinants of health.

Rob explains AbsoluteCare’s proactive, longitudinal care management approach – enabled by technology that empowers mobile care teams to engage with members wherever they are, whether at home, in the community, or within hospital settings. He underscores the importance of real-time data access, EMR availability at the point of care, and the role of transitional care managers in ensuring continuity post-discharge. Rob also emphasizes how governance, change management, and attention to operational details such as connectivity, mobility, and privacy are critical to success.

Rob also explores AbsoluteCare’s innovation strategy, including the use of ambient clinical documentation, AI-driven diabetic retinopathy screening, and organization-wide adoption of Microsoft Copilot. Rob shares his vision for the future of AI agents and robotic process automation to streamline workflows, reduce provider burden, and ultimately improve care outcomes. Take a listen.

He shares how AI is being applied to reduce administrative delays, including the use of generative AI to summarize clinical data and intelligent agents to assist with scheduling and information retrieval processes. The conversation also touches on enabling real-time approvals for a majority of cases, designing algorithms informed by physician input, and navigating the shift to remote work. The discussion offers insight into how technology can address systemic inefficiencies while maintaining clinical oversight. Take a listen.

In this episode, Dr. T.Y. Alvin Liu, Inaugural Director, James P Gills Jr MD and Heather Gills AI Innovation Center at Johns Hopkins Medicine shares his journey in healthcare AI, with a focus on image analysis and real-world applications.

Dr. Liu discusses the FDA-approved autonomous AI system for diabetic retinopathy screening, which enables early detection in primary care settings and improves screening adherence. He outlines successful AI implementations at Johns Hopkins, including prior authorization pilots using generative AI and the importance of operational understanding in deployment. He also discussed the intersection of value-based medicine and artificial intelligence, and the challenges of implementing successful AI programs. 

At the enterprise level, Dr. Liu emphasizes the need for strong AI governance to assess safety, effectiveness, and ROI. He outlines key challenges for AI startups, especially around reimbursement and regulation, and urges them to pursue sustainable business models. He also suggests closer collaboration among startups, VCs, and integrated health systems to bridge the gap between innovation and real-world adoption, essential for scaling AI responsibly and delivering long-term value in healthcare. Take a listen.

In this episode, Patrick Mobley, Co-Founder and CEO at Vivid Health shares how his personal background and professional journey inspired him to launch a platform that improves clinical workflows using generative AI.

Built in collaboration with Redesign Health, Vivid Health’s platform is designed to automate time-consuming, manual processes, such as patient outreach, assessments, care planning, and follow-ups—freeing nurses and care teams to focus on providing care. Patrick highlights their “provider-led AI” approach, where providers retain final control over AI-generated outputs. The platform supports over 100 conditions across 16 specialties and is being adopted in primary care, home health, and hospice settings. It reduces documentation time by over 50% and eliminates outreach labor in chronic care management workflows.

Patrick also emphasizes the platform’s value in scaling care, improving patient engagement, and supporting revenue generation, while offering deeper, more honest insights through automated, holistic patient assessments. Take a listen.

In this episode, Shekar Ramanathan, Executive Director of Digital Transformation at Atlantic Health System shares how the organization is evolving from traditional automation to a future shaped by agentic AI. He shares Atlantic Health’s journey from pilot projects to scalable AI implementations, highlighting real-world use cases such as ambient scribing, intelligent message routing, and virtual medical assistants for patient engagement.

Shekar outlines how Atlantic leverages generative AI to tackle both clinical and operational challenges, guided by a strategy that aligns AI initiatives with organizational goals. He emphasizes working backwards from the outcomes, integrating AI into specific workflows, and the need for strong governance frameworks. He also shares insights on Atlantic’s AI maturity model, challenges in scaling, cost containment, prompt engineering, and the critical role of education and cultural change.

Looking ahead, Shekar sees agentic AI as a transformative force—one that reduces administrative burden and unlocks new levels of autonomy in care delivery. He also reflects on the rising importance of Chief AI Officers in driving responsible and effective AI strategy across health systems. Take a listen.