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As healthcare systems increasingly integrate artificial intelligence into clinical workflows, the role of Chief Medical Information Officers has become central to establishing effective AI governance frameworks. CMIOs are uniquely positioned to lead this effort, particularly in clinical environments, as they operate at the intersection of medicine, technology, and healthcare operations. Their combination of clinical expertise, deep understanding of hospital workflows, experience with health information systems, and knowledge of data and AI positions them as natural leaders inensuring that AI is implemented safely, responsibly, and effectively.
Beyond technology adoption, CMIOs play a critical role inshaping how AI transforms healthcare delivery. They help bridge the gap between emerging AI capabilities and real-world clinical needs, ensuring that solutions align with patient care priorities, operational realities, and ethical standards. As healthcare organizations move from AI experimentation toward broader deployment, CMIOs are becoming key architects of governance strategies that define how AI is evaluated, monitored, and integrated into clinical practice.
Note: This list was developed through independent editorial research and is not intended to be exhaustive or to represent an endorsement ofthe featured leaders or their affiliated healthcare organizations. Inclusion on this list cannot be purchased, and leaders are listed in alphabetical order.
CMIO’s Full List:
1. Srinath Adusumalli, MD,MSHP, MBMI, FACC - Vice President and Chief Health Information Officer, Penn Medicine (Pennsylvania)
Dr. Srinath Adusumalli serves as vice president and chief health information officer at Penn Medicine, where he focuses on advancing healthcare innovation through the integration of clinical expertise, informatics,behavioral science, and emerging technologies. A practicing cardiologist-informaticist, Dr. Adusumalli has dedicated his career to usingdata, technology, and human-centered design to improve care delivery and patient outcomes. Through his work with Penn Medicine’s Nudge Unit, where he serves as deputy director, he has applied behavioral science principles within healthcare workflows to improve care delivery. In his current role, he is focused on shaping the responsible adoption of AI and digital health solutions, emphasizing the importance of aligning technology with clinical needs, workflow redesign, and measurable outcomes. Dr. Adusumalli advocates for approaching AI as a tool to augment clinicians, enhance patient engagement, and transform care delivery through thoughtful implementation, continuous evaluation, and strong partnerships across healthcare.
2. Rob Bart, MD - Chief Medical Information Officer, UPMC (Pittsburgh)
Dr. Bart leads UPMC’s clinical information strategy, focusing on technology modernization, AI adoption and the creation of a unified digital foundation to support care delivery. He has played a key role in UPMC’s enterprise EHR consolidation, moving the health system’s hospitals and caresites toward a single Epic instance to simplify workflows, improve the patient experience and enable scalable technology adoption. Dr. Bart has emphasized that AI should become a core competency for clinicians and operational leaders, noting that successful implementation requires strong workflows, clean data and thoughtful governance. Under his leadership, UPMC has advanced AI applications including radiology support tools and ambient documentation technologies designed to improve efficiency and reduce administrative burden. He has alsoadvocated for application consolidation, citing operational, financial and cybersecurity benefits from reducing fragmented systems across the organization.
3. James M. Blum, MD, CDH-E - Chief Health Information Officer, University of Iowa Health Care (IowaCity)
Dr. Blum is Chief Health Information Officer at University of Iowa HealthCare, where he leads digital strategy, clinical informatics, and enterprise AIinitiatives. An anesthesiologist and critical care physician with board certification in clinical informatics, Dr. Blum has focused on deploying AI toreduce documentation burden, improve physician well-being, and enhance clinica ldecision-making through more effective use of EHR data. He has focused on deploying AI, including ambient documentation, to streamline workflows, reduce documentation burden, and surface critical patient information. He also has an extensive research background, with NIH-funded work, more than 70 peer-reviewed publications, and multiple patents, alongside a research and implementation record spanning clinical informatics, predictive analytics, and healthcare technology.
4. Albert Bonnema, MD, MPH, FAMIA - Chief Medical Information Officer, Kettering Health (Ohio)
Dr. Albert Bonnema brings a strong AI background, having led AI and genomics research at the Air Force Research Laboratory and overseen health ITat the Defense Health Agency. His most visible current AI work is Kettering's deployment of Abridge, an ambient AI documentation tool he calls a turning point in how data is captured and connected in healthcare, part of a broad ervision of a data environment that supports clinicians in real time. He haspublicly flagged the risks of AI use in medical education. Notably, the publicrecord offers no verbatim AI-safety quotes, no peer-reviewed AI publications,and no documented endorsement of named governance frameworks, making his positions thinly documented and largely paraphrased.
5. Eric Cheng, MD, MS -Chief Medical Information Officer, UCLA Health (Los Angeles)
Dr. Cheng serves as chief medical information officer at UCLA Health Sciences and professor of neurology at the David Geffen School of Medicine at UCLA, where he oversees clinical informatics, EHR optimization, clinical decision support and the health system’s evolving approach to digital health and AI. He has been instrumental in advancing UCLA Health’s responsible evaluation and implementation of AI-enabled tools, including efforts torigorously assess ambient AI documentation technologies in real-world clinical settings. Dr. Cheng is recognized for applying evidence-based methodologies to healthcare AI adoption, including co-authoring one of the first randomized clinical trials of ambient AI scribes, published in NEJM AI (2025), which evaluated their impact on documentation burden, physician workload and clinician well-being. He also contributes to UCLA Health’s clinical AI governance and to informatics education.
6. Brian Dilcher, MD, FACEP- Associate Chief Medical Information Officer, WVU Medicine (West Virginia)
Dr. Dilcher serves as associate chief medical information officer for WVUMedicine and as director of clinical informatics in emergency medicine. He focuses on the practical implementation and governance of artificial intelligence in healthcare, emphasizing that successful AI adoption requires strong data discipline, workflow integration and ongoing oversight. Dr. Dilcherhas highlighted the importance of evaluating AI solutions beyond their capabilities alone, including considerations such as efficiency, cost, scalability and clinical impact. He has also emphasized the need for clinicians and technical teams to collaborate closely when developing AI tools, ensuring solutions are grounded in real-world workflows and supported by appropriate governance structures.
7. Babatope Fatuyi, MD -Chief Medical Information Officer, UTHealth Houston
Dr. Fatuyi serves as CMIO at UTHealth Houston, where he leads efforts toadvance clinical informatics, EHR optimization and technology-enabled improvements in care delivery. He chairs the health system’s EHR Governance Task force, helping guide priorities for clinical system design, content optimization and workflow improvements, and serves as steering committee chairfor the Center for Digital Healthcare Innovation. With extensive experience in operational and IT leadership, including prior service as CMIO at NYC Health,Dr. Fatuyi has focused on bridging clinical needs with emerging technologies,including the responsible evaluation and adoption of AI solutions. His approach emphasizes strong governance, stakeholder collaboration and ensuring AI tools enhance clinical workflows while supporting physicians, improving efficiency and maintaining trust in patient care.
8. Nicholas Gavin, MD, MBA,MS - Chief Clinical Innovation Officer and Associate Chief Medical Information Officer for Digital Health, Mount Sinai Health System (New York)
Dr. Nicholas Gavinserves as vice president, chief clinical innovation officer, and associate chief medical information officer for digital health at the Mount Sinai Health System, where he leads efforts to redesign care delivery through technology, innovation, and data-driven approaches. He oversees a team focused on identifying, testing, and scaling new models of care, including expanding care beyond traditional hospital settings, developing partnerships with technology companies, and applying rigorous evaluation methods to improve patient and provider outcomes. Throughout his career, Dr. Gavin has focused on leveraging technology and informatics to enhance healthcare experiences, including leadingthe development of virtual care programs such as Virtual Urgent Care and Message Only Care at Mount Sinai. His work spans digital health strategy, clinical innovation, operational transformation, and the adoption of new care models designed to improve quality, efficiency, and patient access.
9. Joel Gordon, MD - Chief Medical Information Officer, UW Health (Wisconsin)
Dr. Gordon leads health information strategy at UW Health, focusing on responsible AI adoption, clinical workflow optimization and technology enablement across the organization. He has emphasized moving beyond isolated AI initiatives toward an “AI enablement” approach, where artificial intelligenceis integrated into existing teams and workflows to support long-term adoptionand organizational learning. Under his leadership, UW Health has advanced theuse of ambient listening technology, using real-time insights and peer supportto help clinicians optimize workflows and improve utilization. Dr. Gordon has also highlighted the importance of cross-functional partnerships in AI implementation, including collaboration between health system teams, academic researchers and technology partners. He has advocated for strong governance, security and ethical frameworks while encouraging healthcare leaders to remain curious and adaptable as AI continues to evolve.
10. Ben Hohmuth, MD - Chief Medical Informatics Officer, Geisinger,(Pennsylvania)
Dr.Hohmuth leads Geisinger's use of AI and digital tools to ease clinician workflows and improve access, affordability and care delivery. He led Geisinger’s enterprise rollout of Abridge ambient AI documentation, expanding it from a 2024 pilot to systemwide access for physicians, APPs, residents, andfellows. He promotes a clinician-centered AI strategy focused on reducing administrative burden, improving workflow, and supporting responsible adoption,with early results showing reduced documentation time and burnout. Dr. Hohmuth also supports AI-enabled initiatives such as Intelligent Triage, which guides patients toward appropriate care settings and reduces unnecessary emergency visits and specialty referrals. He sees the future of clinical AI in integrating patient conversations, EHR data and medical knowledge to deliver more contextual decision support while keeping clinicians in the loop.
11. Allen Hsiao, MD, FAAP, FAMIA - Chief Health Information Officer and Vice President, Yale School of Medicine and Yale New Haven Health(Connecticut)
Dr. Hsiao leads efforts to advance clinical informatics, EHR optimization, research informatics and the responsible implementation of AIacross Yale New Haven Health. He focuses on leveraging health data andtechnology to improve care delivery, enhance clinical workflows and supportresearch, serving as principal or co-investigator on multiple funded studiesexamining the impact of information technology on healthcare. As vice chair ofclinical systems in the Department of Biomedical Informatics and Data Scienceand a professor of pediatrics and emergency medicine at Yale School ofMedicine, Dr. Hsiao also helps bridge informatics research with clinical practice. His current work includes advancing AI governance, developing enterprise approaches for evaluating and implementing AI tools, and exploringhow emerging technologies can reduce clinician burden while improving patientcare.
12. Cheng-Kai Kao, MD - Medicine Chief Medical Information Officer and Medical Director of International Programs (UChicago)
Dr.Cheng-Kai Kao as a board-certified in clinical informatics, who serves as Chief Medical Information Officer and Medical Director of the Office of International Programs at UChicago Medicine. He focuses on the role of clinical AI in supporting clinicians, emphasizing the selection and integration of technology to solve real clinical problems rather than chasing hype, and championing clinician AI literacy and human-centered design. His work highlights AI's potential to reduce administrative burden and documentation load - including leading the evaluation of ChatUCM, UChicago's HIPAA-compliant internal chatbot, and institutional efforts to scale ambient AI - alongside his development ofthe health system's Hospital at Home program. Dr. Kao is a strong advocate for disciplined, safety-first AI adoption, emphasizing robust governance with real-time monitoring and system-level safeguards to ensure patient safety, regulatory compliance, and clinical trust.
13. Nitu Kashyap, MD, FAMIA – Vice President and Chief Health Informatics Officer, Emory Healthcare (Atlanta)
Dr. Kashyap serves as chief health informatics officer at Emory Healthcare, where she leads informatics initiatives focused on advancing technology-enabled care delivery, clinical workflows and health system transformation. A clinical informatician with more than two decades of experience, she has developed and deployed digital solutions that support patient care, clinical decision-making and operational improvement. Previously serving as chief medical information officer at Yale New Haven Health, Dr. Kashyap played a key role in population health informatics and clinical decision support initiatives while advancing the use of data and technology to improve care delivery. At Emory, she works across clinical disciplines and with technology leaders to align informatics strategy with patient experience, research, education and innovation, with a focus on automation, evidence-based care and patient-centered digital solutions. She is a Fellow of the American Medical Informatics Association and serves on the American Board of Medical Specialties Clinical Informatics Sub-Board.
14. Mark Mabus, MD, RPh - Chief Medical Information Officer and Senior Vice President of EHR, Clinical and Revenue Cycle, Parkview Health (Indiana)
Dr. Mabus is Chief Medical Informatics Officer and Senior Vice President of EHR, Clinical and Revenue Cycle at Parkview Health, where he leads clinical informatics, EHR strategy, and AI initiatives across the health system. Aboard-certified family medicine and clinical informatics physician with a pharmacy background, he has advanced Parkview’s generative AI strategy, including ambient AI documentation, AI-powered chart summarization, and governance frameworks focused on safety, monitoring, and human oversight. Under his leadership, Parkview has scaled AI use across clinical workflows, with strong provider adoption. He is also recognized for his work in Epic optimization, clinician AI education, and expanding responsible AI access for community and rural health systems.
15. Ryan Mackey, MD - Chief Medical Information Officer, LifePoint Health (Tennessee)
Dr. Mackey serves as chief medical information officer at LifePoint Health, where he focuses on advancing healthcare technology strategy across acomplex system of acute and post-acute facilities operating across multiple states and electronic health record environments. He has emphasized the importance of standardization, workflow integration and practical adoption as healthcare organizations navigate evolving technologies, including artificial intelligence. Dr. Mackey has highlighted the need for deeply integrated AI solutions, particularly in ambient documentation, while noting that successful adoption requires alignment with clinical workflows and expansion beyond physicians to support broader care teams. He approaches innovation through testing, measuring impact and scaling solutions across markets, while servingas a bridge between clinical needs and technology implementation.
16. Shaun Miller, MD - Chief Health Informatics Officer, Cedars-Sinai (Los Angeles)
Dr. Miller serves as Cedars-Sinai’s chief health informatics officer, overseeing clinical informatics and technology training while leading thehealth system’s digital transformation efforts. He has played a key role inexpanding telehealth, evaluating and scaling artificial intelligence, and deploying AI-powered solutions to improve clinical workflows and clinician well-being. Under his leadership, Cedars-Sinai has implemented more than 100 AI use cases spanning predictive analytics, imaging and ambient documentation. Dr. Miller emphasizes integrating AI into clinical workflows, prioritizing safe and disciplined implementation, and using AI to simplify care delivery while enhancing both clinician and patient experiences.
17. Rebecca Mishuris, MD, MS, MPH, FAMIA - Chief Health Information Officer and Vice President, Mass General Brigham (Boston)
Dr. Mishuris serves as Chief Health Information Officer and Vice President at Mass General Brigham, where she leads the integration of digital technologies into clinical practice. She has highlighted the potential ofAI-powered ambient documentation to reduce physician burnout by automating clinical note-taking, allowing clinicians to spend more time with patients andless on administrative tasks. While acknowledging that these tools are not suitable for every workflow, she emphasizes thoughtful implementation, clinician support, and continued evaluation to ensure AI delivers meaningful improvements in care and physician well-being.
18. Sara Murray, MD, MAS - Vice president and enterprise Chief Medical Informatics and AI officer at Johns Hopkins Medicine (Baltimore)
Dr. Murray joins Johns Hopkins from the University of California, San Francisco, where she served as vice president and chief health AI officer, leading efforts to develop and scale responsible AI across an academic health system. At UCSF, she built AI governance frameworks, infrastructure and evaluation processes to support the safe deployment of machine-learning models and commercial AI tools, ensuring solutions were trustworthy, clinically relevant and aligned with health system priorities. Her work has focused on predictive analytics, post-deployment AI monitoring, lifecycle oversight and integrating AI into clinical workflows to improve quality, safety and patient care. A national voice in healthcare AI governance, Dr. Murray has contributedto best-practice collaboratives, advised policymakers on responsible AI adoption and published research on the implementation and oversight of clinical AI technologies.
19. Brett Oliver, MD - Chief Medical Information and AIOfficer, Baptist Health (Kentucky)
Dr. Oliver leads Baptist Health’s efforts to advance responsible AI adoption, focusing on building organization wide AI literacy and governance rather than centralizing AI responsibility in a single executive role. Under his leadership, Baptist Health Medical Group established an AI oversight committee with representatives across clinical, operational, legal, finance andother departments, as well as an AI Enablement Center to evaluate opportunities, develop policies and guide implementation. Dr. Oliver has emphasized a “democratized” approach to AI governance, ensuring teams understand how AI works and how new technologies should be evaluated and monitored. He has also helped expand the use of AI-enabled tools, including ambient AI scribes that reduce physician documentation burden and improve workflow efficiency. The technology is now used by physicians and non-physician providers across Baptist Health Medical Group.
20. Deepti Pandita, MD, FACP, FAMIA - Chief Medical Informatics and AI Officer and Vice President of Clinical Informatics, UCI Health (California)
Dr. Pandita leads AI strategy and informatics efforts at UCI Health, bringing clinical and workflow expertise to guide the health system’s approach to AI implementation. She has emphasized that effective AI adoption requires addressing underlying workflows and data pipelines, as poorly designed processes can lead to biased systems and unsuccessful implementations. As both a practicing physician and informaticist, Dr. Pandita advocates for keeping clinicians involved in AI design and governance rather than allowing technologyto dictate workflows. She has encouraged organizations to view AI as infrastructure tied to enterprise value, such as improving operational efficiency, reducing lengths of stay and enhancing revenue cycle processes, rather than as isolated innovation projects. She also highlights AI’s potential to improve patient access, reduce disparities and strengthen trust by enabling more personalized care experiences.
21. Ford Parsons, MD, MS - AVP Clinical Informatics and Chief Medical Information Officer for AI and Engineering, Providence (Seattle)
Dr. Parsons leads clinical informatics and artificial intelligence initiatives at Providence, bringing a background as a practicing physician and nearly seven years of experience in healthcare analytics and workflow improvement. He has focused on developing AI solutions that address operational challenges while keeping clinicians involved in design and implementation. Under his leadership, Providence developed Provaria, an AI-powered in-basket assistant that helps categorize and prioritize patient messages, enabling care teams to respond more efficiently while maintaining human oversight. The technology has been expanded across Providence’s primary care clinics and hasprocessed millions of messages, helping reduce message burden for physicians and improve response times for patients. Dr. Parsons emphasizes collaborative development between clinical, informatics and AI teams to create tools that support caregivers and improve care delivery.
22. Priti Patel, MD - VP and Chief Medical Information Officer, John Muir Health (California)
Dr. Priti Patel is a family physician and chief medical information officer at John Muir Health, where she has spent more than two decades advancing the intersection of clinical care and technology. Over her career,she has helped lead the organization’s informatics evolution, including its enterprise Epic implementation, development of informatics governance structures, and expansion of clinician engagement in digital transformation. As CMIO, she focuses on aligning technology with patient care, workforce needs, and clinical outcomes, with a strong emphasis on adoption and workflow integration. Dr. Patel has been at the forefront of evaluating and implementing emerging AI-enabled solutions, including ambient AI documentation technology, which has helped reduce documentation burden, improve physician experience, and restore focus to patient interactions. She continues to guide responsible adoption of AI and advanced analytics, exploring applications in areas such as clinical decision support, medical record summarization, patient communication, predictive analytics, and operational efficiency.
23. Eric G. Poon, MD, MPH, FACMI - Chief Health Information Officer, Duke Health (North Carolina)
Dr. Poon serves as chief health information officer at Duke Health, where he leads the evaluation and implementation of digital technologies and artificial intelligence across the health system. He has championed a disciplined approach to AI adoption, emphasizing rapid evaluation, measurable outcomes and organizational readiness. Under his leadership, Duke successfully deployed ambient AI documentation tools following structured pilot testing and broad clinician engagement, resulting in rapid adoption across the health system. Dr. Poon also advocates for strong governance, workforce education and continuous measurement of AI’s clinical and operational impact to ensure technologies deliver meaningful value.
24. Juan C. Rojas, MD, MS - Associate Chief Medical InformationOfficer, Rush University Medical Center (Chicago)
Dr. Rojas serves as associate chief medical information officer at RushUniversity Medical Center, where he focuses on the responsible adoption ofartificial intelligence to improve clinical care, patient safety andoperational efficiency. He has emphasized using AI to augment, not replace, clinicaldecision-making, with applications ranging from early risk identification andworkflow optimization to reducing administrative burden and clinician burnout.Dr. Rojas also advocates for rigorous evaluation, transparent governance andmultidisciplinary oversight to ensure AI is implemented safely, equitably andin ways that improve patient outcomes.
25. Ankit Sakhuja, MBBS, MS, FACP, FASN, FCCP, FCCM, FAMIA - Associate Chief Medical Information Officer for AI and Critical Care, and Director, Mount Sinai AI Assurance Lab, Mount Sinai Health System (New York)
Dr. Sakhuja focuses on translating AI from prediction to actionable clinical decision support. He has led research on AI models for personalized insulin dosing after cardiac surgery, demonstrating performance comparable toor exceeding that of experienced clinicians and advancing efforts to deploy AIin real-world care. His work also examines the reliability of generative AI in nephrology, emphasizing that AI should augment clinical decision-making and patient education while keeping physicians at the center of care
26. Edward Sankary, MD, FACP, FAMIA, ABPM-CI - Chief Health Informatics Officer and VP, UTHealth San Antonio
Dr. Sankary serves as Chief Health Informatics Officer and Vice Presidentat UT Health San Antonio, where he oversees clinical informatics, AI strategy, digital transformation, and value-based care. He emphasizes moving artificial intelligence from isolated pilots into enterprise-wide clinical workflows, witha strong focus on governance, secure deployment, and workforce readiness. Under his leadership, the organization has implemented AI-powered solutions such as ambient documentation, clinical AI agents, and intelligent compliance tools to improve clinician efficiency, patient safety, and operational performance. He also highlights the importance of strategic partnerships with technology companies and academic institutions to accelerate responsible AI innovation. Looking ahead, he sees AI becoming deeply embedded in electronic healthrecords, clinical decision support, and patient engagement, enabling more predictive, data-driven, and personalized healthcare.
27. Maulin Shah, MD - Chief Health Information Officer, Providence (Washington)
Dr. Maulin Shah is a physician-informaticist who was named SVP and ChiefHealth Information Officer at Providence in February 2026 after serving as CMIO since 2023. He is a leading voice on clinical AI whose central theme is that AI should augment clinicians rather than replace them, positioning tools like ambient scribes as decision support that reduces administrative burden and burnout. His work highlights the potential of tools such as ambient scribes to reduce administrative burden and help address clinician burnout. He has been involved in Providence’s evaluation of ambient AI scribes, including research examining their impact on documentation time and after-hours charting among clinicians. Dr. Shah also advocates for careful implementation of AI in healthcare, emphasizing the importance of safety, validation, and human oversight when deploying these technologies.
28. Nirav Shah, MD, MPH - Associate CMIO, AI and Innovation, Endeavor Health (Chicago)
Dr. Nirav Shah leads AI and innovation efforts at Endeavor Health, serving as a connector across innovation teams, informatics, operational leaders and frontline clinicians to guide AI strategy, governance, implementation and evaluation. In his matrixed role, he helps determine which AI initiatives should scale, define success metrics and translate organizational learnings into research and industry insights. Dr. Shah advocates for balancing financial return on investment with strategic value, including improvements in patient experience, provider experience, quality and health equity. He has highlighted ambient documentation as a key tool to reduce administrative burden and support physician well-being, while encouraging health systems to move from isolated AI use cases toward AI-first workflow redesign. At Endeavor Health, he has helped advance AI-driven approaches to policy consolidation, using generative AI to streamline complex processes and create standardized, evidence-based workflows.
29. Christopher "Topher" Sharp, MD - Chief Medical Information Officer, Stanford Health Care Stanford (California)
Dr. Christopher Sharp serves as chief medical information officer at Stanford Health Care, where he focuses on enabling clinicians through the strategic use of technology, informatics, and emerging innovations. His workhas evolved from driving technology adoption and optimization to shaping how digital tools support broader clinical and organizational goals. Dr. Sharp has played a key role in advancing Stanford Health Care’s responsible approach to AI adoption, helping establish governance frameworks focused on ensuring AI solutions are fair, useful, and reliable. He has led efforts to develop a responsible AI life cycle, strengthen data infrastructure, and create organizational capabilities that support safe, ethical, and effective deployment of AI in healthcare. His work includes advancing AI applications across administrative and clinical domains, including the development of secure generative AI environments and Chat EHR, a platform designed to enable interaction with healthcare data and support future automation. Through a focuson governance, evaluation, and human-centered implementation, Dr. Sharp advocates for using AI to augment clinicians, improve care delivery, and create measurable value for patients and healthcare organizations.
30. Paul Testa, MD – Chief Health Informatics Officer, NYU LangoneHealth (New York)
Dr.Paul Testa, Chief Health Informatics Officer at NYU Langone Health and apracticing ER physician, is a hands-on clinical AI leader whose legal training shapes an agenda centered on governance, safety, and trust over the technology itself. He argues that the hardest work is not building the algorithm but earning clinicians' and patients' trust, and that AI demands the same institutional commitment health systems brought to EHR adoption. He led the launch of NYU Langone's UltraVioletAI, one of the earliest private, HIPAA-compliant generative AI environments, now accessed daily across the workforce, and champions the responsible integration of generative AI and autonomous clinical agents into patient care.
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