In this episode, David H. Berger, MD discusses his journey from being an academic surgeon and oncologist to a leadership role in healthcare management. He also discusses his mission to simplify healthcare by making it more accessible and effective for everyone.

Damo Consulting - The Big Unlock - Podcast - Ep 150 - David Berger

In this episode, Jeremy Cauwels, MD, FACP, FHM, Chief Medical Officer of Sanford Health,  shares his journey into the technology side of healthcare to enhance patient access. He explores Sanford’s Virtual Care Center, AI-driven risk assessment for colon cancer screening, and the expanding role of telemedicine.

Damo Consulting - The Big Unlock - Podcast - Ep 152 - Jeremy Cauwels

Bridging Technology and Patient Care Northwell Health’s Digital Transformation Journey

Damo Consulting - The Big Unlock - Podcast - Ep 155 - Sophy Lu

In this episode, Keith Morse, MD, MBA, Clinical Associate Professor of Pediatrics & Medical Director of Clinical Informatics – Enterprise AI at Stanford Children’s Health, shares real-world applications and future visions for generative AI (GenAI) in pediatric care. The discussion highlights how LLMs are being practically integrated into clinical workflows, reducing clinician burden and enhancing hospital operations.

Dr. Morse emphasizes the importance of upskilling the workforce to fully leverage AI’s potential. With limited prior exposure to tools like LLMs, clinicians and administrative staff need hands-on training. Stanford has launched initiatives including a PHI-compliant internal chatbot, prompt engineering workshops, and engaging frontline staff in pilot projects to build confidence and competence across roles.

Dr. Morse sees immense promise in technologies like ambient listening and agentic AI but stresses the need for cautious adoption. In the absence of comprehensive regulation, healthcare systems must take ownership of AI oversight to ensure safety and mitigate risk. He emphasizes the importance of balancing innovation with responsibility, especially in the sensitive context of pediatric care. Take a listen.

Damo Consulting - The Big Unlock - Podcast - Ep 158 - Keith Morse

In this episode, Priti Patel, MD, VP and Chief Medical Information Officer at John Muir Health shares her journey from family physician to CMIO, offering insights into her 23-year tenure and the evolution of clinical informatics. She also talks about key challenges such as change management, the integration of new tools like predictive analytics, and streamlining prior authorization.

Dr. Patel discusses the growing role of informatics in healthcare and how collaboration across clinical and IT teams has driven innovation. One of the key highlights at John Muir Health, a community-based health system, is the early adoption of ambient AI technology for clinical documentation, leading to:

- reduced cognitive load,
- time savings of up to 30 minutes per note,
- and enhanced provider-patient interactions.

She also emphasizes the critical role of seamless EHR integration in driving adoption, with over 60% of providers now using the tool regularly.

Dr. Patel also outlines the organization’s enterprise-wide data strategy, including a robust data literacy initiative that’s empowering staff at all levels, starting with the C-suite, to make data-driven decisions and improve care quality and operational outcomes. She underscores that aligning digital strategies with organizational priorities—while focusing on improving the clinician and patient experience—is central to sustainable transformation. Take a listen.

Damo Consulting -  Podcast - Ep 162 - Priti Patel

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.

From Automation to Autonomy: Agentic AI Is Healthcare’s Next Frontier-Episode 163-Shekar Ramanathan

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. 


Scaling With Autonomous AI for Diabetic Retinopathy Screening - Podcast with Alvin Liu

In this episode, Siva Namasivayam, Chief Executive Officer of Cohere Health, discusses the challenges and opportunities in overhauling the prior authorization process in healthcare. 

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.

Transforming Prior Authorization with AI - Podcast with Siva Namasivayam

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

When Technology Meets Care Management, Outcomes Improve. - Podcast with Rob Posner

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.


Sara Vaezy, Chief Transformation Officer, Providence

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.


Alicia Abella, AI Product Lead, Novo Nordisk

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.

Dr. Ashis Barad, Chief Digital Technology Officer, Hospital for Special Surgery (HSS)

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.

Inderpal Kohli, Healthcare Executive Leader (Englewood Health, HSS, and CUMC)

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.

Sameer Sethi, SVP, Chief AI & Insights Officer, Hackensack Meridian Health

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.

Michael Docktor, MD, Co-founder and CEO of Dock Health

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.

Dr. Girish N. Nadkarni, Chief AI Officer, Mount Sinai Health System

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.

Thomas Fuchs, Chief AI Officer, Eli Lilly and Company

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.

Jan Beger, Global Head of AI Advocacy, GE Healthcare

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.

Dr. Andreas Michaelides, Shaping Clinical AI with Google, Ex-Noom Chief of Psychology

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.

Paul Yi, MD, Associate Member in Radiology, Section Chief of Intelligent Imaging Informatics (I3), St. Jude Children's Research Hospital

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.


Anil Saldanha, Chief Innovation Officer, Rush University System for Health

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.

Charles E. Christian, Vice President of Technology and CTO, Franciscan Health

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.


Chris Gallagher, M.D., Founder and Chief Strategy Officer, Access TeleCare

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.


Dr. Felicia Newhouse, Founder, AI-Powered Women

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.


Matthew Blosl, Chief Executive Officer, DexCare

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.

Lisa Hunter, Senior Director of Federal Policy & Advocacy, United States of Care

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.


Gregory Goldmacher, M.D., Associate Vice President in Clinical Research, and Head of Clinical Imaging & Pathology, Merck Research Laboratories

In this episode, Leah Sparks discusses how she founded Wildflower Health in 2012 as a digital health platform to help women in their pregnancies, after experiencing the difficulties of navigating the healthcare system during her first pregnancy. 

Leah believes that digital adoption in healthcare often needs to start with simple use cases with near term returns (the short story). Although technology risks are high in healthcare, Leah encourages health systems to remain focused on the long story of needing to transform healthcare by investing in the right opportunities to create a healthcare experience that is personalized for consumers. 

Wildflower Health has raised venture capital from leading health systems such as Providence Health and is considered a leading “FemTech” startup. Leah points out that while women are primary users of her platform, they are also the Chief Health Officers of their homes and influence 80% of all healthcare decisions for the entire population.

Health systems and plans are now willing to take a leap of faith for digital patient experiences

In this episode, Graham Gardner discusses how his company, Kyruus, targets patient access issues in health systems. Inspired by the Moneyball concept, Kyruus uses advanced analytics to understand patient needs and put the right providers “to bat” where they are most likely to do well, thereby reducing or eliminating variations in the quality of care. 

Graham discusses the challenges of introducing digital innovation in healthcare and provides some counterintuitive advice to other digital health startups looking to overcome challenges in sales cycles and achieving enterprise-wide adoption for their platforms.

Even the small hospitals really do want to enable a modern consumer web experience today

In this episode, Mudit Garg discusses the evolution of Qventus and how they are applying AI to help hospitals and health systems in managing their operations with real-time predictions for improved care delivery.

With a focus on patient flow automation, Qventus helps hospitals and health systems in reducing the length of stay and other operational metrics. Based on early insights that machine learning models and prediction scores can be confusing to users in the absence of an accountability engine, the company has developed an interdisciplinary approach, augmenting AI with behavioral science principles to drive sustained improvements in healthcare operations.

AI predictions need a thoughtfully designed closed-loop to drive action

Stay up to date on current trends in healthcare's digital transformation. Featuring C-suite executives from the healthcare and technology sectors, podcast hosts Rohit Mahajan and Ritu M. Uberoy discuss how they are driving digital health innovation and leveraging emerging technologies to create the healthcare experiences of the future.

About the hosts:

Rohit Mahajan, Managing Partner and CEO, Damo and BigRio: Rohit is an entrepreneur and a leader in the information technology and software industry. His focus lies in the field of artificial intelligence and digital transformation for healthcare clients. His recently published full length book,  Quantum Care, A Deep Dive into AI for Health Delivery and Research has been trending #1 in several categories on Amazon. Rohit is a Wharton School Fellow and a graduate from the Harvard Business School. You can follow and connect with him on https://www.linkedin.com/in/rmahaj/

Ritu M. Uberoy, Managing Partner at Damo and BigRio has over twenty-five years of experience in the software and information technology industry in the United States and in India. She established Saviance Technologies in India and has been involved in the delivery of several successful software projects and products to clients in various industry segments.
You can follow and connect with her on https://www.linkedin.com/in/ritu-m-uberoy/

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