The Beat

The main obstacle preventing health systems from prioritizing AI over the next 3-5 years is not a lack of AI products in the market, but rather the challenges of integrating the technology into their existing workflows, and the uncertainty in measuring its return on investment (ROI). Newton’s Tree’s end-to-end AI governance platform delivers the necessary transparency and holistic oversight, empowering your multidisciplinary AI Governance Committee to drive confident AI adoption at scale across clinical and operational pathways.

In this episode, host Sandy Vance sits with Haris Shuaib, the CEO of Newton’s Tree, to discuss the speed at which AI is advancing and whether this pace is safe. They unpack what responsible, scalable AI governance really looks like. From hidden risks in data quality to the subtle ways AI behavior can drift over time, Haris breaks down why checks and balances aren’t just a compliance exercise. They’re essential to patient safety and organizational trust.

• How Newton’s Tree helps governance committees confidently scale AI across clinical and operational pathways
• Why so many organizations struggle with AI implementation—and where things most often break down
• What an effective process looks like for evaluating whether AI oversight is actually working
• The three things Newton’s Tree continuously monitors: data quality, AI behavior, and clinical decision risk
• Why closing the feedback loop is critical right now
• Practical advice for CIOs navigating AI adoption—and how Newton’s Tree supports them
• The role of registries and observatories in responsible AI deployment
• How to ensure AI systems are safe and effective before they’re put into real-world use

Haris Shuaib is Founder and CEO of Newton’s Tree, a startup dedicated to AI transformation at scale in health and care. He is Director of the Fellowships in Clinical Artificial Intelligence, the first clinical training programme for healthcare professionals to develop practical AI skills. He is also a Consultant Clinical Scientist and former Head of the Clinical Scientific Computing section at Guy’s & St Thomas’ NHS FT. Finally, he also holds a NIHR Doctoral Research Fellowship, where he is leading a national multi-centre trial to see whether AI can improve the treatment of glioblastoma.

In this episode, host Sandy Vance sits down with Dr. Zayed Yasin, MD, Global Head of Healthcare and Life Sciences at Writer, for a thoughtful and practical conversation about what AI really means for healthcare today. Drawing on his background as a clinician, Dr. Yasin shares how AI can eliminate the “boring” aspects of the job, allowing teams to focus on what matters most: patients and outcomes. Together, they delve into building effective clinical programs in value-based care, leveraging AI for payers, exploring real-world case studies, and examining why many organizations struggle with implementation. If you’re curious about where AI is delivering real ROI right now (and why the best way to learn is to lean in and start working), this episode is for you.

• Dr. Yasin’s background as a clinician and his interest in AI 
• AI will help people focus on what’s really important while taking away the boring parts of the job
• Building the clinical program at a value-based care organization
• How to make these programs work for payers
• Writer case studies using this technology
• Why organizations struggle with implementing AI
• Future big use cases in AI
• Lean in hard; you don’t start learning until you start working 
• ROI can be attained quickly in places with very little risk
• Unless you’re an AI company, you’re not an AI company

Dr. Yasin runs the Healthcare and Life Sciences group at Writer, the end-to-end platform for enterprises scaling AI. After leaving academic emergency medicine, he built telemedicine and VBC businesses before leading Writer's HCLS AI transformation efforts.

In this episode, host Sandy Vance sits down with Parminder Bhatia , the Chief AI Officer from GE HealthCare , for a thoughtful, forward-thinking conversation about the rapidly shifting landscape of AI in healthcare. Together, they explore why healthcare is so ready for transformation, the four critical areas where change is most urgent, and how smarter systems can ease some of the industry’s most complex workflows. Sandy and Parminder dig into how foundation models and the rise of agentic AI can finally help healthcare move beyond fragmented solutions. 

• How AI is transforming a healthcare industry that’s long overdue for change
• The four key areas where transformation is most needed
• Streamlining some of the most complex medical processes
• How better communication and information can assist clinicians during labor and delivery
• Using foundation models to reduce fragmentation in healthcare AI
• Supporting the multi-step workflows of radiologists
• Why agentic AI represents the future of healthcare innovation

At GE HealthCare, Parry is focused on integrating AI across smart devices, across the patient journey, and at the hospital operations level. The company is a long-time leader in healthcare AI, topping the FDA’s list of AI-enabled devices for four consecutive years with more than 115 authorizations. Parry’s team advances AI within medical devices to improve patient outcomes, and he also serves on the company’s responsible AI committee to ensure new solutions are reliable, scalable, and ethical. His work has earned recognition from Modern Healthcare’s 40 Under 40, the AIM AI 100 Awards, and Constellation Research’s AI 150. Before joining GE HealthCare, Parry was Head of Applied Science at Amazon, contributing to machine learning and generative AI products such as Amazon Comprehend Medical. He previously held AI and machine learning roles at Microsoft and Georgia Tech. He holds a B.S. in Computer Science from the Indian Institute of Technology and an M.S. in Computational Science and Engineering from the Georgia Institute of Technology.

About Angelo Campano:

Angelo Joseph Campano is a health IT strategist and operator known as The Original EHR Marketer™, with two decades of experience building and optimizing EHR, point-of-care, and CRM-driven commercial programs. As CEO of Flora Health, he helps healthcare companies turn clinical workflows into measurable growth through disciplined strategy, analytics, and execution. He has held senior leadership roles at Ogilvy Health, OptimizeRx, Doximity, and MDCalc, building new EHR and MCM practices and fixing underperforming ones. Angelo is trusted by global healthcare brands for his direct, results-first approach to EHR promotion, cross-channel optimization, and commercial scale.

Things You’ll Learn:

• Getting content in front of physicians only works when it fits naturally into existing EHR workflows rather than disrupting them.
• Collaboration with health systems and technology partners scales impact faster than building standalone tools.
• Market access, not AI hype, is where the biggest opportunity exists to improve patient outcomes.
• Automating forms, prior authorization, and financial assistance removes barriers that prevent patients from starting therapy.
• Measuring success means tracking how many patients get on therapy faster, not just engagement metrics.

Resources:

• Connect with and follow Angelo Campano on LinkedIn.
• Follow Flora Health on LinkedIn and visit their website.

In this episode, host Sandy Vance chats with Natalie Ngo, from EliseAI, for a friendly, insightful conversation about how AI is transforming the way healthcare organizations communicate and operate. 

EliseAI provides automation tools designed to streamline everyday interactions, reduce administrative burden, and help staff focus on what matters most. Together, Sandy and Natalie explore how EliseAI can empower healthcare teams to do more with greater efficiency.

• How and where EliseAI got started
• The value that AI will bring to your company
• How EliseAI is supporting healthcare organizations
• What the implementation process will look like 
• The response of the clinical staff at the providers
• AI can scale to fit any size practice
• Future main case uses

Natalie Ngo is a Strategy and Operations leader focused on healthcare at EliseAI, where she helps organizations use AI to streamline communication and operate more efficiently. Based in New York, Natalie brings a background in strategy, operations, and analytics, with previous experience at EliseAI and Point72. She holds an Honors Business Administration degree from the Ivey Business School at Western University and is passionate about using technology to support care teams and improve day-to-day workflows in healthcare.

About Michael Dubrovsky:

Michael Dubrovsky is a founder-operator and applied scientist working at the intersection of materials science, photonics, and real-world impact. He is the co-founder and CEO of SiPhox Health, a Y Combinator (S20), Khosla Ventures, and Intel Capital–backed startup based in Cambridge, building painless at-home blood biomarker testing to help people live healthier, longer lives. Alongside SiPhox, he serves on the Clinical and Laboratory Standards Institute (CLSI) ILA20 committee and co-hosts 632nm, a technical interview series featuring top scientists and engineers. Previously, he co-founded PoWx, a nonprofit advancing energy-efficient photonic hardware for proof-of-work cryptography, work that is now used commercially to secure billions of dollars in value. Earlier in his career, Michael founded Simply Grid, named by Fast Company as one of the world’s most innovative energy companies, deploying first-of-its-kind curbside EV and food-vendor charging infrastructure in New York City before exiting via acquisition. His background includes advanced research at MIT and Technion in nanofabrication and materials characterization and a BS in Chemistry from SUNY ESF. His personal mantra: no hurry, no pause.

Things You’ll Learn:

• At-home blood testing eliminates major barriers, such as appointments, referrals, and travel, while expanding access to advanced diagnostics. This convenience is driving higher adoption among both consumers and businesses.
• Many critical biomarkers linked to longevity and chronic disease are often ignored in standard primary care testing. Home testing allows patients to proactively monitor what would otherwise go unseen.
• Clinician trust remains a challenge due to early inaccuracies in home testing technologies. FDA clearance is expected to play a major role in broader medical acceptance
• Businesses benefit from home testing by eliminating high-friction steps that stall patient conversion. This leads to better experiences and significantly improved funnel performance.
• Scaling home diagnostics follows a familiar pattern where early adopters subsidize innovation. Over time, costs drop and access expands to broader populations.

Resources:

• Connect with and follow Michael Dubrovsky on LinkedIn.
• Follow SiPhox Health on LinkedIn and visit their website.
• Listen to Michael’s podcast on Apple Podcasts or Spotify.
• Email Michael directly here.

About Christopher Sullivan:

Christopher Sullivan is a senior executive with deep leadership experience across health, legal, and regulatory technology, currently serving as Vice President & General Manager of Pharmacy & Health Technology Solutions at Wolters Kluwer Health in New York. He brings over a decade of progressive responsibility within Wolters Kluwer, where he has led large commercial and product portfolios spanning pharmacy, healthcare, legal, transactional, and retirement solutions. His background is heavily strategy-driven, with prior roles overseeing partnerships, pricing, business intelligence, and corporate development, translating data and market insight into scalable growth. Before transitioning fully into executive leadership, he built a strong foundation in operations and logistics at DHL and gained strategic consulting experience at GE Capital. Christopher is a graduate of the United States Military Academy at West Point, where he studied international relations and systems engineering, and holds an MBA in finance and management from Fordham Gabelli, with additional studies at ESADE Business School.

Things You’ll Learn:

• Clinicians face up to 20 complex clinical questions daily, making fast access to trusted evidence essential. Embedding insight directly into workflow reduces delays and decision fatigue.
• Context switching across platforms significantly contributes to clinician burnout. Keeping evidence inside the tools clinicians already use improves efficiency and satisfaction.
• Trusted, expert-reviewed content is becoming more valuable as AI-generated information increases. Confidence in the source has a direct impact on clinical adoption.
• API-based delivery allows evidence to reach clinicians beyond traditional EMR systems. This supports modern, flexible workflows across digital health platforms.
• Partnerships between content experts and technology vendors accelerate innovation. Collaboration keeps solutions aligned with real clinical needs.

Resources:

• Connect with and follow Christopher Sullivan on LinkedIn.
• Follow Wolters Kluwer Health on LinkedIn  and visit their website.

In this episode, host Sandy Vance and Hari Balasubramanian, the Chief Technology Officer, Health Information Systems at Solventum, sit down for a deep dive into how AI-driven healthcare technology is reshaping the industry. Together, they explore how Solventum is building innovative products and services that streamline documentation, billing, and coding while improving the patient experience and saving valuable time for healthcare professionals. 

From what’s happening at Solventum right now to the company’s move toward fully autonomous coding, this conversation unpacks how healthcare payers and providers can rethink financial performance in the age of artificial intelligence. Hari also shares practical insights for CIOs evaluating these systems and explains how Solventum measures real-world improvements driven by AI. 

If you’re interested in healthcare innovation, revenue cycle transformation, or the future of AI in health information systems, this is an episode you won’t want to miss.

Check out Solventum’s Education Session and Case Study Session that was presented in the AI Zone at HLTH 2025.

• What’s going on with Solventum right now
• How Solventum is serving healthcare payers
• Solventum’s move toward complete autonomous coding
• The common misconceptions about improving financial performance for providers
• How CIOs should evaluate their work when engaging with these systems
• Measuring the improvements produced by AI with Solventum’s systems

Hari Bala joined Solventum as Chief Technology Officer, Health Information Systems, in May 2025, bringing more than 25 years of experience building large-scale, distributed systems across healthcare, cloud, and security, with deep expertise in GenAI, data science, analytics, and machine learning. Previously, he led AI, data, analytics, and cloud transformation efforts at GE Healthcare and Oracle Cerner, where he helped establish Oracle’s AI Services organization and later led the Health Data Intelligence and Analytics platform following the Cerner acquisition. Earlier, Hari spent nearly 19 years at Microsoft in leadership roles spanning Azure, Search, Cosmos DB, Windows, Office 365, and mobile and browser technologies.

About Bari Kowal:

Bari Kowal is a senior biopharmaceutical executive with over 30 years of experience leading global operations, clinical development, and strategic portfolio management. As Senior Vice President at Regeneron, she oversees development operations, enterprise-wide portfolio strategy, risk management, and major technology initiatives, helping guide the company’s continued growth and innovation. Her career spans leadership roles at Pfizer, ICON Clinical Research, Valera Pharmaceuticals, PDL BioPharma, GenVec, and Covance, where she built high-performing teams and drove operational excellence across clinical operations and strategic programs. Bari also serves on the Board of Directors of TransCelerate BioPharma Inc., contributing to industry-wide efforts to streamline and strengthen clinical trial execution. She is known for her governance expertise, collaborative leadership style, and ability to deliver organizational transformation at scale. Bari holds a master’s degree in neuroscience from New York University, with additional academic training from the University of Pennsylvania and Binghamton University.

Things You’ll Learn:

• Expanding access to clinical trials requires educating both patients and physicians, many of whom are unfamiliar with how to engage in research. Better awareness can dramatically increase participation and diversify trial populations.
• Technology alone will not speed up drug development unless systems are connected end-to-end. Interoperability is the real catalyst for reducing inefficiencies across discovery, development, and regulatory submission.
• Clean, structured data is the foundation of meaningful AI adoption in healthcare. Without it, predictive models and trial optimization tools cannot reach their potential.
• Trial complexity is one of the most significant barriers to faster development timelines. Streamlining procedures, reducing unnecessary tests, and learning from regulatory feedback can significantly accelerate progress.
• Sustainable clinical research requires equipping trial sites with greater capacity and support. Even when the right patients are identified, sites must be capable of enrolling and managing them effectively.

Resources:

• Connect with and follow Bari Kowal on LinkedIn.
• Follow Regeneron on LinkedIn and visit their website.

About Madhu Pawar:

Madhu Pawar is a board director and cross-disciplinary technology leader operating at the intersection of healthcare, data, and product innovation. She serves on the Board of Directors at Talkspace (NASDAQ: TALK) and is the Chief Product Officer for Optum Insight, where she drives product strategy and platform innovation across UnitedHealth Group’s most critical assets. Prior to Optum, she spent over six years at Google leading the global SMB Ads product ecosystem—overseeing AI-driven insights platforms, multi-billion-dollar revenue lines, and large-scale engineering, product, and operations teams across multiple continents. Madhu also teaches consumer analytics in healthcare as an adjunct professor at Carnegie Mellon University. Earlier in her career, she was a partner in McKinsey’s Global Healthcare Practice, where she built and scaled technology and services businesses for payers, providers, and fast-growth health companies. She began her career in software engineering at Hewlett-Packard Labs, earning patents in authentication and location-aware computing, followed by roles at PwC in security and technology. Madhu holds graduate degrees from Stanford School of Medicine and Carnegie Mellon University and a bachelor’s in computer engineering from Nanyang Technological University.

Things You’ll Learn:

• Real-time data exchange between payers and providers can significantly reduce the confusion, delays, and costs associated with today’s claims processes. AI-enabled reasoning over contracts and encounters improves accuracy from the start.
• Optum Real aims to bridge the transparency gap by connecting stakeholders through a multi-party hub, enabling real-time understanding of coverage and reimbursement. Early pilots show tangible reductions in denials and improved patient clarity.
• The majority of first-time denied claims are avoidable, signaling an industry-wide opportunity to remove unnecessary rework. Solving this problem increases efficiency for providers, payers, and patients.
• Real-time intelligence opens the door for more effective value-based care arrangements. When providers can see financial implications instantly, incentives align more naturally.
• The long-term vision includes real-time payment flows, AI-driven clinical decision support, and improved patient engagement. Breaking down paper-based silos will unlock entirely new use cases at scale.

Resources:

• Connect with and follow Madhu Pawar on LinkedIn.
• Follow Optum on LinkedIn and visit their website.