The Big Unlock

In this episode, Greg O’Neill, Director of Patient & Family Health Education at ChristianaCare, explores why effective communication is one of the most overlooked drivers of better healthcare outcomes. Drawing on his experience as an ICU nurse and health system leader, Greg explains that health literacy is not simply about providing information, it is about ensuring patients truly understand their care and feel confident acting on it.

Greg shares how ChristianaCare is embedding health literacy into patient education, medication management, and clinical workflows by using plain language, personalized content, and technology that supports rather than disrupts caregivers. He also discusses AI’s potential to break down fragmented care by connecting information across systems, reducing cognitive burden for patients, and guiding them through increasingly complex healthcare journeys.

Greg encourages healthcare leaders to adopt a health literacy lens when evaluating digital tools and transformation initiatives. He argues that the greatest value comes when technology strengthens human connection, builds trust, and helps patients achieve better outcomes through clearer communication. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Umesh Rustogi, General Manager, Healthcare & Life Sciences Dragon & Platform at Microsoft, explains that meaningful AI outcomes depend on combining unified multimodal data foundations with clinician-centered design to achieve healthcare’s quadruple aim: improving care quality, patient experience, operational efficiency, and workforce well-being.

Addressing the severe nursing shortage and turnover driven by administrative burnout, Umesh details how Microsoft co-innovated with nine major health systems to deploy Dragon Copilot for Nursing, a clinical assistant that works alongside nurses. By leveraging ambient AI on mobile devices, the solution helps nurses capture flow sheet documentation for their review and maintains a running cognitive memory across shifts, significantly lowering cognitive load and enabling nurses to be truly present with their patients.

Umesh also emphasizes that enterprise-scale success requires far more than model selection. It demands responsible AI governance, transparent audit capabilities, deep workflow customization, and robust change management, including nurse leader sponsorship and dedicated unit champions. He envisions smart hospital rooms, multimodal AI, wearable integration, and agentic workflows transforming clinical operations by delegating non-patient-facing tasks so caregivers can focus on delivering better care. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Haider Warraich, Program Manager, Scalable Solutions at Advanced Research Projects Agency for Health (ARPA-H), explains why building trust, not just advancing technology, is key to unlocking the next generation of healthcare AI. Leading ARPA-H’s ADVOCATE program, he shares how the agency is accelerating the development of patient-facing, agentic AI designed to improve outcomes for people living with heart failure, while simultaneously building the regulatory and evaluation infrastructure needed to safely bring these innovations into clinical practice.

Dr. Warraich argues that healthcare must innovate and evaluate AI in parallel. As AI development accelerates, lasting trust will depend on rigorous clinical evidence, familiar regulatory pathways, and real-time post-market monitoring. He also encourages innovators to think boldly, noting that breakthrough ideas often seem unrealistic before they become reality.

Dr. Warraich sees AI alignment, patient-centered technologies for high-need populations, and high-fidelity healthcare simulations as the next frontiers of innovation. He envisions that the future of healthcare AI will be shaped by bold ideas grounded in scientific rigor, transparent evaluation, and close collaboration between innovators, regulators, and health systems. That’s how the industry will build the trust needed to scale AI and improve patient care. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Anne Snowdon, Scientific Director and CEO at SCAN Health and Chief Scientific Research Officer at HIMSS, explores why AI has the potential to transform healthcare, but only if health systems build the evidence, infrastructure, and workforce readiness to support it. She argues that while AI is generating tremendous excitement, most health systems are still in the early stages of adoption with many initiatives remaining in pilot phases.

Dr. Snowdon explains that healthcare must shift from deterministic decision-making toward probabilistic, predictive care, while developing new approaches to continuously evaluate AI as it learns and evolves. She also highlights the need to improve AI literacy among clinicians and establish stronger evidence before scaling enterprise-wide deployments.

Beyond clinical workflows, Dr. Snowdon makes a compelling case for reimagining digital health around patients rather than health systems. She envisions AI empowering individuals to better manage their health while seamlessly connecting them with trusted providers through interoperable, data-driven ecosystems. She also identifies digitally enabled supply chains as a critical but often overlooked foundation for safer, more personalized, and higher-quality care. She believes that the future of healthcare depends not just on adopting AI, but on creating connected, evidence-based systems that improve outcomes for patients, clinicians, and the broader health ecosystem. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS AI in Healthcare Forum.

In this episode, Naomi Fried, PhD, Founder and CEO of PharmStars, shares how stronger collaboration between startups and pharmaceutical companies is accelerating healthcare innovation. Drawing on leadership roles at Biogen, Kaiser Permanente, Boston Children’s Hospital, consulting work with large pharma companies, and collaboration across the digital health ecosystem, she explains why the most successful innovations are built around customer needs rather than technology alone.

Naomi discusses how PharmStars helps digital health startups, including those developing AI-powered solutions, understand the pharmaceutical industry, refine their value proposition, and build lasting partnerships with global pharma companies. She highlights AI as one of the most exciting areas of innovation, with the potential to improve patient care, support clinicians, and create new opportunities for life sciences organizations. However, Naomi emphasizes that technology alone is never enough. Successful innovators listen more than they pitch, understand customer pain points, and build trusted relationships.

Naomi also talks about the importance of clinician workflows, internal champions, and continuous product evolution. Whether leveraging AI, software, or medical devices, her message is clear: lasting innovation comes from solving meaningful problems, adapting to customer needs, and building partnerships that create real-world impact. Take a listen.

In this episode, Dr. Dhruv Khullar, Associate Professor of Medicine and Population Health Sciences at Weill Cornell Medicine, explores how technology, public trust, and the evolving role of physicians are reshaping healthcare. Drawing on his experience as both a practicing clinician and a leading commentator on health policy, he argues that medicine is no longer the singular authority on health. Physicians now share influence with social media, AI tools, direct-to-consumer health companies, and a growing ecosystem of digital health platforms.

Dr. Khullar also discusses the promise and pitfalls of AI, emphasizing that while the technology can improve documentation, patient navigation, drug discovery, and clinical decision support, its adoption must be guided by evidence and rigorous evaluation. According to him, AI’s greatest opportunity may be helping restore the human connection in care by removing administrative burdens and creating more space for meaningful patient interactions.

The conversation also explores physician education, AI literacy, value-based care, public trust, and the growing commercialization of healthcare. Dr. Khullar returns to a central theme: technology alone will not solve healthcare’s challenges. Progress will require stronger communication, thoughtful leadership, and a renewed commitment to putting patients, not profit, at the center of care. Take a listen.

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

In this episode, Julie Demaree, Vice President and Chief Technology and Digital Innovation Officer at St. Mary’s Healthcare, shares a pragmatic approach to digital transformation in rural healthcare, where innovation is driven by operational realities rather than technology hype. A former physician assistant turned technology executive, Julie argues that successful innovation begins with culture, governance, and clinician engagement, not new tools.

She discusses how St. Mary’s has improved patient safety and clinician experience by rethinking clinical decision support, reducing alert fatigue through careful curation, and involving frontline clinicians in governance decisions. Julie also highlights the importance of optimizing existing technology before investing in new solutions, noting that many organizations overlook capabilities already available within their EHRs.

Julie sees significant potential for automation and agentic AI to reduce administrative burden, improve patient access, and help lean teams operate more effectively. She emphasizes that AI adoption must be accompanied by strong governance, user education, and critical thinking. Her message is clear: innovation is not about adding more technology, it’s about solving the right problems, eliminating unnecessary work, and building systems that better support patients, clinicians, and communities. Take a listen.

In this episode, Marshall Glanzer, Chief Technology Officer of Town Square Health, outlines a bold model for scaling fully capitated risk programs for Medicare recipients. Transitioning from food-delivery logistics at GrubHub, Marshall brings critical structural insights for digital health innovators seeking to scale clinical models without eroding patient trust.

The core theme of the discussion centers on a counter-intuitive tech strategy: utilizing advanced digital infrastructure to intentionally deepen human relationships rather than automate them away. Town Square orchestrates unified “coordinated care visits,” bringing the patient, primary clinician, and a remote specialist into a single conversation to act as a multi-disciplinary “healthcare oracle” at the point of care.

For technology vendors, Marshall defines a safe clinical AI deployment roadmap using an “augmented clinician” framework. Advanced workflows, like chat-first patient portals managed by an automated “AI judge,” rely on the licensed physician as the ultimate orchestrator. This approach elegantly bypasses commercial barriers like malpractice liability, credentialing, and fractured billing, leveraging the financial alignment of value-based care to fully absorb modern R&D costs. Take a listen.

In this episode, Dr. Ben Long, Director of Hospital Medicine at Magnolia Regional Health Center and Weston Blakeslee, VP of Clinical Intelligence at DrFirst, break down a critical industry starting point – the reality that one in five new prescriptions is never filled and half of all refills are eventually abandoned. Sharing the results of their peer-reviewed study published in PLOS Digital Health, Dr. Long and Weston offer a grounded blueprint for how resource-constrained community health systems can conquer chronic heart failure readmissions.

The core theme of the conversation underscores an industry-wide shift from reactive, episodic care silos toward a proactive, connected population health management. While automated SMS nudges provide real-time cost transparency and essential medication education, the ultimate force multiplier lies in pairing those digital touchpoints with frontline, nursing-led care navigation. By connecting digital prescribing insights with real-world human validation, this “trust-first” design bridges the gaps between discharge and the home medicine cabinet. Take a listen.

In this episode, Omkar Kulkarni, VP, Chief Transformation & Innovation Officer at Children’s Hospital Los Angeles (CHLA), outlines the stark funding gap in pediatric innovation, which receives less than 1% of digital health investments despite children making up 20% of the population. To combat this, the CHLA-led KidsX consortium unites children’s hospitals nationwide to scale early-stage digital solutions through collaboration over competition.

Omkar suggests that pediatrics requires entirely separate technological blueprints, hence digital tools must be designed for adult caregivers, accommodate strict adolescent privacy laws at age 12, and scale across diverse physiological sizes. He highlights vital innovation pipelines, including AI tools targeting the youth mental health crisis, longitudinal chronic care management, and 24/7 validated conversational interfaces for parents.

For healthcare startups entering this space, Omkar emphasizes that the key to building institutional trust relies on presenting deep, heterogeneous clinical evidence, establishing commercially viable billing frameworks, and practicing deep humility when approaching complex clinical partnerships. He believes that generative AI will not replace clinicians but will instead automate administrative tasks, empowering them to focus on top-of-license, human-to-human care. Take a listen.