The Big Unlock

Rohit Mahajan & Ritu M. Uberoy

THE BIG UNLOCK PODCAST is a Healthcare Digital Transformation Podcast. Stay Updated on Healthcare’s Digital Transformation Trends. Featuring C-suite Leaders and Insights on Digital Health Innovation. Explore Emerging Healthcare Technologies with Rohit Mahajan and Ritu M. Uberoy.

  1. Aug 25

    Episode 223 – From Legacy Systems to AI-Native Healthcare in Rural America

    The Big Unlock · Michael Archuleta, Chief Information Officer, Mt. San Rafael Hospital and Clinics In this episode, Michael Archuleta, Chief Information Officer at Mount San Rafael Hospital, explores how technology can help rural health systems deliver high-quality, patient-centered care regardless of geography. He discusses the hospital’s transition to an AI-native Oracle Health platform and emphasizes that digital transformation should follow the patient journey, reduce clinician burden, improve interoperability, and enable better outcomes. Michael sees AI, ambient technology, remote patient monitoring, and interoperability as important tools for improving clinical outcomes, reducing administrative burden, expanding access in rural communities, and giving clinicians more time to focus on patients. He also emphasizes that cybersecurity is fundamentally a patient safety issue, requiring continuous testing, workforce awareness, strong identity management, and a “human firewall” to counter increasingly sophisticated AI-enabled threats. Michael believes rural healthcare can leapfrog legacy limitations by strategically investing in digital transformation and emerging technologies. He also sees the CIO role evolving from technology management to business and strategic leadership, with greater responsibility for automation, operational performance, workforce well-being, and patient outcomes. His message is clear: technology must matter, and it must ultimately improve care. Take a listen.  This guest appearance was facilitated through conversations initiated at HIMSS.

    Episode 223 – From Legacy Systems to AI-Native Healthcare in Rural America
  2. Aug 20

    Episode 222 – AI is Moving Drug Discovery From Prediction to Generation

    The Big Unlock · Alex Zhavoronkov, Founder, CEO and CBO, Insilico Medicine In this episode, Alex Zhavoronkov, Founder, CEO and CBO of Insilico Medicine, explores how generative AI is reshaping drug discovery and opening new possibilities in longevity research. He explains how AI can move pharmaceutical R&D from searching for promising molecules toward generating molecules with desired properties, while orchestrating specialized models and agents across the drug development lifecycle. Insilico combines AI models across biology, chemistry, and clinical development to move from target identification to drug candidates faster, with multiple programs now in clinical trials. Alex argues that AI can dramatically expand the number of experiments researchers can conduct, but the complexity of biology means failure remains inevitable and real-world validation is essential. He discusses the industry’s shift from predictive AI to generative and agentic systems capable of orchestrating thousands of drug discovery tasks, while emphasizing the importance of rigorous validation. Alex believes the strongest competitive advantages will come from proprietary drugs, scientific infrastructure, capital, and the ability to turn ideas into validated products. He cautions against AI hype and emphasizes benchmarking, peer-reviewed evidence, and clinical results. His ultimate ambition is to use AI-driven drug discovery to extend human lifespan and give people more years of life. Take a listen. This guest appearance was facilitated through conversations initiated at Ai4 2026.

    Episode 222 – AI is Moving Drug Discovery From Prediction to Generation
  3. Aug 11

    Episode 220 – Cloud and AI Are Reshaping Healthcare Transformation

    The Big Unlock · Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead, Amazon Web Services (AWS) In this episode, Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead at Amazon Web Services (AWS), shares how cloud and AI are reshaping healthcare by helping organizations move from experimentation to enterprise-scale transformation. She explains that successful AI adoption requires more than powerful models – it demands secure cloud infrastructure, responsible governance, workforce upskilling, and trusted partnerships. Dr. Shippy explains how leading health systems are moving beyond isolated AI pilots by solving well-defined organizational and clinical challenges first. Through purpose-built services like Amazon Connect Health, institutions are streamlining patient engagement, reducing administrative burden, and improving access to care. From antimicrobial resistance surveillance to genomics research and health equity programs, she illustrates how cloud-based platforms are helping healthcare organizations generate insights faster and improve patient outcomes at scale. Dr. Shippy believes that scaling enterprise AI requires upskilling healthcare workforces, establishing strong security guardrails, and embracing agentic workflows. She envisions a future driven by multimodal AI, ambient listening, and automated task execution that accelerates drug discovery, reduces burnout, and enables clinicians to focus on direct patient care. Dr. Shippy encourages health systems to start small, think big, and never lose sight of improving patient and workforce experiences. She believes agentic technologies will augment clinicians, accelerate innovation, and help build a more connected, efficient, and patient-centered healthcare ecosystem. Take a listen. This guest appearance was facilitated through conversations initiated at ViVE.

    Episode 220 – Cloud and AI Are Reshaping Healthcare Transformation
  4. Jul 28

    Episode 218 – Using Multimodal Foundations and Ambient AI to Scale Clinical Impact

    The Big Unlock · Umesh Rustogi, General Manager, HLS Dragon & Platform, Microsoft 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.

    Episode 218 – Using Multimodal Foundations and Ambient AI to Scale Clinical Impact

Ratings & Reviews

5
out of 5
7 Ratings

About

THE BIG UNLOCK PODCAST is a Healthcare Digital Transformation Podcast. Stay Updated on Healthcare’s Digital Transformation Trends. Featuring C-suite Leaders and Insights on Digital Health Innovation. Explore Emerging Healthcare Technologies with Rohit Mahajan and Ritu M. Uberoy.

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