The Generative AI for Healthcare Summit will provide you with a fundamental understanding of generative AI and its applications to healthcare. Join senior thought leaders and early adopters from the key healthcare pillars, as they explore healthcare’s most pressing challenges through a diverse range of presentations, panel discussions and case studies. This Summit is not one to be missed.
Key topics include: fundamentals of generative AI for healthcare, data privacy, physician burnout, workflow applications, health equity and more. With interactive panel discussions throughout the day, and case studies highlighting the adoption of generative AI technologies in healthcare today, have your say in what the future of healthcare should look like amongst the key innovators at the intersection of generative AI and healthcare.
Collaborate with your industry peers and enhance your connections through engaging in the many high-value networking opportunities throughout the day. With our multi-stakeholder speaker faculty and audience showcasing senior leaders from payer, provider, pharma, advocacy and regulatory groups, come together this September and help healthcare reach its new horizon of healthcare.
“This conference is important because it brings together the relevant stakeholders in this important field, which could transform the field of biomedicine.”
“As generative AI has the power to be transformative in healthcare, shared perspectives will be key to understanding the nuances of this innovation to ensure thoughtful deployment.”
“Generative AI has the potential to transform healthcare by enabling more personalized and accurate diagnoses, more efficient drug discovery, and more effective treatment plans. As the technology continues to improve and become more widely adopted, it could become a new paradigm for healthcare applications.”
“As someone working in healthcare workforce intelligence and planning, the summit will be an excellent opportunity to explore the latest development and applications of AI in healthcare. With so much expertise coming together to share their insights and experiences, this will be a valuable event.”
“It is incredibly important that we think carefully about how Generative AI should be integrated into care. Hearing a wide variety of viewpoints will be key to doing so.”
Expert Speaker Faculty
Dr. Shafiq Rab – Global Healthcare Innovator and Digital Transformation Advocate, is the Chief Digital Officer and System Chief Information Officer for Tufts Medicine in Massachusetts. He is pioneering breakthrough data-driven technologies and championing ground-breaking ways of connecting consumers and caregivers across academic, community, home health and virtual to provide an unparalleled high-quality experience.
Dr. Rab has pioneered and architected a healthcare ecosystem that uniquely connects the emerging fields of cloud computing, edge computing and interoperability driven by Artificial Intelligence (AI), Machine Learning (ML), consumer and caregiver feedback to enable the free flow of information so that the right person gets the right care at the right place at the right time with the right information and wisdom, securely, every time.
He has led the way in building multi-lingual digital front doors for health systems and has used digital technology to analyze the impact of social determinants of health on individuals to provide better access to community resources such as shelter, transportation, food, clothing, and healthcare.
Dr. Rab is a healthcare influencer and has innovated a contemporary digital healthcare economy. He is known for the modernization of the workforce through automation and has achieved dozens of novel healthcare industry firsts in transforming the patient and clinician experience including the build of the world’s-first Healthcare IT Ecosystem in the public cloud and several interoperability standards like Epic’s FHIR APIs, the development of CMS’s Blue Button 2.0 API and the Data at the Point of Care API (DPC).
Dr. Girish N. Nadkarni is the Fishberg Professor in Medicine at the Icahn School of Medicine at Mount Sinai. He is also the Chief of the Division of Data Driven and Digital Medicine (D3M) and the Director of the Charles Bronfman Institute of Personalized Medicine. He received training in Mathematics before completing his medical degree at one of the top-ranked medical colleges in India. He then received a Master’s in Public Health at the Johns Hopkins Bloomberg School of Public Health in Baltimore, MD, and then was a Research Associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in Internal Medicine and a clinical fellowship in Nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in Personalized Medicine at the Charles Bronfman Institute of Personalized Medicine. Dr. Nadkarni has authored over 300 peer-reviewed scientific publications including ones in the New England Journal of Medicine, Journal of American Medical Association, Annals of Internal Medicine, The Lancet and Nature Medicine. He has received many awards including the best outgoing senior resident award, Dr. Harold and Golden Lamport research award, the ANIO rising star award and the Deal of the Year award at Sinai Innovations. He is the principal investigator for several NIH funded grants. Dr. Nadkarni is also the scientific co-founder of several investor-backed companies, two of which are publicly traded.
Shahidul Mannan is the Chief Data Officer at Bon Secours Mercy Health, where he is leading all enterprise data platform, governance, products innovation and commercialization moving forward with BSMH vision and strategy for data driven digital transformation. Most recently he was Head of Data Engineering and Innovation at Mass General Brigham where he was leading the next generation data analytics architecture and platforms for MGB (formerly Partner’s Healthcare) digitization and Analytics Innovation. Shahidul was also at Dell EMC as Global Head of Big data and Analytics – leading all data assets and building next generation Data Lake and AI driven Analytics across enterprise, and at Altisource, where he served as Vice President of Technology, Chief Data Officer – responsible for all data management, big data, business intelligence and advanced analytics, developing Fintech analytics products and services.
Divya Pathak is the Vice Chair of Artificial Intelligence & Analytics at the Center for Digital Health at Mayo Clinic. She is a core member of Mayo Clinic’s AI leadership team partnering with clinical and administrative leaders across the enterprise to drive digital transformation and deliver on Mayo Clinic’s Data & AI strategy. She is a thought leader and serves as a subject matter expert on leveraging AI and analytics to solve business, clinical, and operational problems in healthcare and collaborates with industry and academia in bringing emerging technologies to accelerate AI transformation at scale. She also actively engages in public speaking at industry and academic events on the use of AI in healthcare and clinical medicine.
Divya has 20+ years of experience in AI, software engineering, and talent development to deliver high-impact solutions for the business and has worked with multiple stakeholders including health systems, academic medical centers, payers, digital health, and pharmaceutical companies.
Mike Harmer is the Vice President of Workforce Intelligence, Planning, and Talent Intermountain Health, with responsibility for workforce planning, analytics, automation, talent acquisition, future workforce and related hr strategy development. He has worked in various roles across Intermountain covering Analytics, IT, Transformation, and HR including HRIS and HR Analytics.
Mike is involved in various external endeavors including the Board of Directors for Alpine Testing Solutions and in research at ThinkTroop. He is a frequent speaker at industry conferences, holds a master’s degree in Public Administration and is fluent in German. When he’s not analyzing things, he enjoys sailing, canyoneering, and backpacking with his kids.
Dr. Wang is Vice Chair of Research and Assistant Professor with a primary appointment in the Department of Health Information Management, and secondary appointments in the Intelligent Systems Program, Department of Biomedical Informatics, Clinical and Translational Science Institute, UPMC Hillman Cancer Center, at the University of Pittsburgh. He is also the current Chair of the American Medical Informatics Association (AMIA) Natural Language Processing Working Group, and the NLP Lead of the National Center for Advancing Translational Sciences (NCATS) Accrual to Clinical Trails (ACT) Network. He has over 10 years of research experience in artificial intelligence (AI), natural language processing ( NLP), and machine learning methodologies and applications in health care. His research goal is to leverage different dimensions of data and data-driven computational approaches to meet the needs of clinicians, researchers, and patients.
Dr. Katherine Gergen Barnett is the Vice Chair of Primary Care Innovation and Transformation in the Department of Family Medicine at Boston Medical Center (BMC), a Clinical Associate Professor at Boston University Chobanian & Avedisian School of Medicine, an Associate at Harvard’s Center for Primary Care, and a Health Innovators Fellow at the Aspen Institute, a highly competitive fellowship that catalyzes leaders to improve US health care.
Prior to joining BMC in 2009, Dr. Gergen Barnett attended Yale University School of Medicine, worked at the National Institutes of Health, and completed a fellowship studying a model of group prenatal care for women in low-income communities. At BMC, she has served in multiple leadership roles including as a chief resident, Director of Integrative Medicine, Medical
Director, Residency Director, and Vice Chair. Her primary clinical interests are behavioral health, preventive medicine, nutrition, trauma informed care, gender affirming care, women’s health,
reproductive care, mindfulness-based stress reduction, and group medical care.
Dr. Gergen Barnett’s research career has been focused on innovative models of care to address chronic medical conditions, physician burnout, and engaging community partners in creating feasible solutions to increase health and wellness and to address medical distrust in traditionally marginalized communities. Dr. Gergen Barnett brings her training and passion for community engaged research to her role as PI in a clinical trial evaluating the safety and efficacy of Paxlovid, an antiviral, in treating high risk children infected with COVID-19.
Finally, Dr. Gergen Barnett is involved in local and state health policy addressing health inequities, national policy addressing primary care delivery, and is a regular contributor to The Boston Globe, Boston Public Radio, and multiple television outlets.
Francis Suo is an AVP of Data Science at CVS, leading enterprise initiatives to leverage data science to personalize and scale consumer health products across CVS business units. His team also builds, deploys and optimizes machine learning capabilities focusing on optimization, large scale experimentation, wearable based analytics and real time recommendation system. Before CVS, he was a senior engagement manager at McKinsey & Company’s New York office, serving healthcare clients on strategy, transformation, and operation topics as well as a co-founder/product manager for a transformation analytics product. He received his PhD in Electrical & Computer Engineering from Johns Hopkins University in 2015 with 20+ publications in the field of machine learning. During his PhD, he also co-founded a medical device startup building a wearable vital sign monitor, secured round A investment and secured class II device approval from China’s FDA.
Dr. Oglesby is a population health strategist, scientist, and results-driven leader with more than 25 years of consulting and operational experience improving population health outcomes, driving operational efficiency, and expanding access to prevention and care services. He has worked with payors, providers, academic medical centers, life science companies, digital health firms, government agencies, community organizations, and other stakeholders to drive meaningful and sustainable population health improvement across a continuum of upstream and downstream initiatives.
As the Dean of the Jefferson College of Population Health (JCPH) he leads all functions of the College, including program growth and evaluation, enrollment management, faculty development and oversight, research expansion, alumni engagement, student support services, and philanthropic efforts. He works with key leaders across the Jefferson enterprise and with stakeholders locally, nationally, and globally to develop new academic initiatives that promote healthcare quality and patient safety, improve operational effectiveness and efficiency, and advance public and population health. At Jefferson, he created a year-long Quality Improvement & Patient Safety Leadership Program for providers and service line administrators at Jefferson Health, Rothman Orthopaedic Institute, Wills Eye Hospital, and Nemours Children’s Health to increase the number of quality and safety leaders across the health systems. He also created a team of methodologists and analysts to enhance rigor of population health and quality improvement research, inform revisions to enterprise dashboards, and support publication of findings to enhance Jefferson’s national reputation as a leader in population health.
William Gordon, MD, MBI, FAMIA is a physician, informaticist, and Senior Advisor for Data and Technology at the Center for Medicare and Medicaid Innovation. In this role, he supports and leads the center’s initiatives around clinical data and technology. Dr. Gordon is a national leader in digital health, clinical informatics, and interoperability and has done extensive operational and academic work in this space. Dr. Gordon previously had technology and informatics leadership roles at the Mass General Brigham healthcare system in Boston Massachusetts. He is currently a staff physician at Brigham and Women’s hospital and faculty in Harvard Medical School’s Department of Biomedical Informatics.
Dr. Lin is the Founder and Executive Director of the Stanford Healthcare AI Applied Research Team (HEA3RT). He is an expert clinician, educator, researcher, and health system leader in the specialty of family medicine. Dr. Lin earned his MD from Stanford University School of Medicine and completed his training at Stanford’s family medicine residency program. He has received numerous national awards and is recognized among the top family physicians in the United States.
Dr. Lin is the Family Medicine Service Chief and the Head of Technology Innovation for the Division of Primary Care and Population Health. His focus is on the intersection of health services innovation, digital health and emerging technologies – specifically artificial intelligence and machine learning in healthcare. Dr. Lin is currently the James C. Puffer/American Board of Family Medicine Fellow with the National Academy of Medicine. He is the author of over 400 scholarly works and conference presentations.
Samuel “Sandy”; Aronson is the Executive Director of IT for Mass General Brigham Personalized Medicine, an Associate Director of Mass General Brigham Research Information Science and Computing as well as the Senior Director of IT for our Accelerator for Clinical Transformation. His teams develop and deploy technology to improve clinical processes in clinical genetics, remote health and decentralized clinical trials. In clinical genetics, the team has built infrastructre that supports the evolution and practice of genetic based personalized medicine in both patient facing and laboratory settings. This system ecosystem enables a continuous learning process that harnesses clinical testing flows to advance knowledge surrounding genetic variation. The infrastructure includes the GeneInsight Suite of applications that were registered as a medical device and distributed. The team is now working to deepen support for whole genome sequence management and interpretation.
The team has also deployed a platform that enables remote patient management by task shifted workforces using omnichannel communication. These capabilities have been used to equitably manage large patient populations. The platform is also currently supporting multiple decentralized clinical trials.
Prior to this position, Mr. Aronson was an IT consultant to the biotechnology industry working for Tribiosys. Mr. Aronson also held several positions with Sapient Corporation, was a Strategic Consultant for Monitor Company and founded LearningAction, a web-based training company now part of Best Software. Mr. Aronson holds a Masters in Organizational Behavior and a Bachelors in Computer Science from Stanford University. He also holds a Masters focused in Biology from Harvard Extension School.
Jeffery Smith is the Deputy Division Director within the Certification & Testing Division in the Office of Technology at ONC where he oversees and implements policies related to the ONC Health IT Certification Program. He has served in this capacity since 2020 where he manages a team of nearly 20, spanning tools and testing, program administration, and conformance review functions. Previously, Jeff served as Vice President of Public Policy at the American Medical Informatics Association (AMIA) and at the College of Healthcare Information Management Executives (CHIME) where he served as lead government affairs liaison to a federal agency and congressional staff on matters related to health IT and health informatics.
Jeff holds a Bachelor of Arts in Political Science with a minor in Economics and a Secondary Major in International Studies from Kansas State University. He holds a Master’s Degree in Public Policy from the University of Maryland, College Park, where he specialized in healthcare policy, technology policy, and federal financial management. Jeff is the author of several academic papers, published in JAMIA and Applied Clinical Informatics. He also authored a chapter on Public Policy for Clinical Research Informatics 3rd Edition.
Dr. Patel is a physician engineer, informatician, active teacher and researcher. He has a special interest in machine and deep learning, mathematical modeling of biological processes, informatics and 3D printing. He is Chair of Department of Radiology, Medical Director for 3D Imaging and Printing Laboratory for Geisinger and leads the informatics efforts in Radiology at Geisinger. Dr. Patel has published 90 research articles, review articles, textbook chapters and abstracts and has given several invited lectures at regional, national and international conferences. Dr. Patel is an electrical engineer and clinically an Interventional Radiologist. His clinical research interests include dialysis access management and interventional oncology. He led Radiology and Interventional Radiology simulation program at Penn Medicine Clinical Simulation Center. For eight years, he has been in various leadership positions at Geisinger. He is boarded in Diagnostic Radiology, Interventional Radiology and Clinical Informatics and is a Fellow of the Society of Interventional Radiology.
Sumeet S. Chugh MD, is the Price Endowed Professor of Cardiac Electrophysiology, Associate Director of the Heart Institute, Medical Director of the Heart Rhythm Center and Director of the Division of Artificial Intelligence in Medicine at Cedars-Sinai, Los Angeles. He is also Professor of Medicine-in-Residence at the David Geffen School of Medicine at UCLA. His scientific career has been dedicated to understanding the etiology and mechanisms of sudden cardiac death in the community. He is the current President of the Association of University Cardiologists and current President of the Cardiac Electrophysiology Society. He is an elected member of the American Society for Clinical Investigation. Dr. Chugh has led an independent and continuously funded translational research program since 2001 and has published over 225 peer-reviewed scientific papers. He is a frequent lecturer on sudden death and arrhythmia-related topics and has accepted more than 350 national, international and regional invited speaking engagements.
Jason Parent is the Director of Clinical Innovation for Point32Health, the parent company of Tufts Health Plan and Harvard Pilgrim Health Care. Jason’s primary focus within Point32Health is catalyzing innovation within our healthcare community to achieve healthier living for everyone. He first joined Harvard Pilgrim in 2014, leading the medical informatics initiatives on clinical program evaluation. Before joining Harvard Pilgrim, Jason was a valued member of the clinical operations and information technology team at Mass General Brigham, where he focused on developing evidence-based solutions to improve patient outcomes and quality. In addition to his current role, Jason is also a Family Nurse Practitioner, using his experience and perspective in treating patients to guide everyday decisions.
We’re pleased to be welcoming you to the University of Massachusetts Club for the Generative AI for Healthcare Summit!
Located on the top of Boston’s Beacon Hill on the 32nd floor of One Beacon, this venue boasts remarkable views of the city, providing the perfect space for this important meeting!
Please contact firstname.lastname@example.org if you have any questions about the venue or accommodation.
We can’t wait to meet you in September!
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