MONDAY 10/18 - DAY 1
FHIR TUTORIAL & SANDBOX
WELCOME RECEPTION & REGISTRATION
TUESDAY 10/19 - DAY 2
BREAKFAST & LATE REGISTRATION
SPOTLIGHT TALK 1
SPOTLIGHT TALK 2
INVITED TALK 1
SPOTLIGHT TALK 3
SPOTLIGHT TALK 4
KEYNOTE (Live Streamed)
INVITED TALK 2
FIRESIDE CHAT (Live Streamed)
POSTER SESSION HAPPY HOUR
WEDNESDAY 10/20 - DAY 3
BREAKFAST & OPENING REMARKS
SPOTLIGHT TALK 5
SPOTLIGHT TALK 6
INVITED TALK 3
INVITED TALK 4
CLOSING KEYNOTE (Live Streamed)
Speakers & Panelists
Michael AbramoffCEO, IDx Technologies Keynote Speaker
Dr. Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist and entrepreneur. He is Founder and CEO of IDx Technologies, Inc., the first company ever to receive FDA clearance for an autonomous AI diagnostic system. In this capacity, as an expert on AI in healthcare, he has been invited to brief the US Congress, the White House, the U.S. Food and Drug Administration (FDA) and the Federal Trade Commission (FTC).
In 2010, Dr. Abramoff’s research findings led him to found IDx Technologies Inc. to bring to patients more affordable, more accessible, and higher quality healthcare. IDx is a leading AI diagnostics company on a mission to transform the affordability, quality, and accessibility of healthcare. The company is focused on developing clinically-aligned autonomous AI systems. By enabling diagnostic assessment in primary care settings, IDx aims to increase patient access to high-quality, affordable disease detection. In 2018, IDx became the first company ever to receive FDA clearance for an autonomous AI diagnostic system. The system, called IDx-DR, detects diabetic retinopathy without requiring a physician to interpret the results, and has been implemented widely in primary care clinics all over the US and in Europe.
As a physician-scientists, Dr. Abramoff continues to treat patients with retinal disease and trains medical students, residents, and fellows, as well as engineering graduate students at the University of Iowa. Dr. Abramoff has published over 270 peer reviewed journal papers (h-index 59) on AI, image analysis, and retinal diseases, that have been cited over 28,000 times, as well as many book chapters. He is the inventor on US 17 patents and 5 patent applications on AI, medical imaging and image analysis.
Ricky BloomfieldClinical and Health Informatics Lead, Apple Tutorial + Sandbox Co-Lead
Gabriel BratTrauma Surgeon & Informaticist, Harvard Medical School & BIDMC Panel Moderator
Ken EhlertChief Scientific Officer, UnitedHealth Panelist
Peter EmbiPresident and CEO, Regenstrief Institute Panelist
Kadija FerrymanIndustry Assistant Professor, New York University Panelist
Dr. Kadija Ferryman is a cultural anthropologist and bioethicist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. She is currently Industry Assistant Professor at New York University’s Tandon School of Engineering. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.
She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults. Ferryman is a member of the Institutional Review Board for the All of Research Program, a Mozilla Open Science Fellow, and an Affiliate at the Center for Critical Race and Digital Studies. Dr. Ferryman has published research in journals such as Paediatric and Perinatal Epidemiology, the Journal of Health Care for the Poor and Underserved, European Journal of Human Genetics, and Genetics in Medicine. Her research has been featured in multiple publications including Nature, STAT, and The Financial Times.
Yael GartenDirector of Siri Data Science and Engineering, Apple Invited Speaker
Dr. Yael Garten is Director of Siri Data Science and Engineering at Apple, leading a team of engineers, data scientists, visualization experts, and product managers. Her team partners with Apple’s hardware, software and services teams to measure, understand, and optimize the user experience across Apple products and services, creating powerful data-informed machine learning based product experiences.
Previously, Yael was Director of Data Science at LinkedIn. Prior to that she was a research scientist at Stanford. She champions data culture and data quality, has devised organizational best practices and developed internal tools to democratize data within companies. Yael has a Biomedical Informatics PhD from Stanford University School of Medicine and holds an MSc from Weizmann Institute of Science in Israel. She lives in Mountain View, California, with her husband and 3 children.
Marzeyeh GhassemiAssistant Professsor, University of Toronto Panel Moderator
Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. She will join MIT's IMES/EECS in July 2021.
Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and Learning (CHIL). Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT. Prior to her PhD in Computer Science at MIT, Dr. Ghassemi received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.
Professor Ghassemi has a well-established academic track record across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, EMBC, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, NVIDIA, Huffington Post. She was also recently named one of MIT Tech Review’s 35 Innovators Under 35.
Bill HansonCMIO, UPenn Health System Panelist
C. William Hanson, III, MD, Professor of Anesthesiology and Critical Care, Surgery and Internal Medicine at the Hospital of the University of Pennsylvania, is an internist, anesthesiologist and intensivist. He is currently the Chief Medical Information Officer and Vice President of the University of Pennsylvania Health System. Dr. Hanson has extensive experience in medical informatics and was Visiting Professor in the Princeton University Department of Computer Science between 2002 and 2005. Dr. Hanson’s anesthetic specialty is cardiac anesthesia (cardiac surgery, thoracic surgery, lung and heart transplantation).
His research using “electronic nose” technology to detect diseases such as pneumonia and sinusitis by breath analysis has been featured in Scientific American. He recently published The Edge of Medicine: The Technology That Will Change Our Lives, a non-fiction book profiling innovations in biotechnology that are changing the delivery of medical care and the ways in which they’re altering the human experience.
Also in a recently published, Smart Medicine: How the Changing Role of Doctors Will Revolutionize Health Care, Dr. Hanson reveals the revolutionary changes that will soon be sweeping through the medical community. Dr. Hanson’s research has been featured in national and international publications, including Popular Science, U.S. News and World Report, and has been a guest on NPR’s Fresh Air as well as television documentaries on the Discovery Channel.
Katherine HellerResearch Scientist, Google Invited Speaker
Katherine Heller is a Research Scientist at Google. She has worked on developing and integrating multiple machine learning systems into hospitals and clinical care including: a sepsis detection system which has been integrated into the Duke University Hospital Emergency Departments, a system for detecting the likelihood of complications resulting from surgery, and a nationally released mobile study on Multiple Sclerosis. She is interested in machine learning and ethics in a medical context, and the inclusion of all people in the development of medical technology. Before joining Google, she was at Duke University in Statistical Science, Neurobiology, Neurology, Computer Science, and Electrical and Computer Engineering. She was the recipient of an NSF CAREER award and a first round BRAIN initiative award.
Maia HightowerCMIO, Univerity of Utah Health Panelist
Maia Hightower, MD, MPH, MBA is the Chief Medical Information Officer for The University of Utah Health. She joined the UUH team in March of 2019.
Prior to joining the University of Utah Health team, she was the Chief Medical Information Officer and Interim Chief Population Health Officer for The University of Iowa Health Care. She joined the faculty of the University of Iowa’s Carver College of Medicine, Department of Internal Medicine in August of 2015, after serving as Associate Medical Director for Stanford Health Care’s University Healthcare Alliance. Dr. Hightower received her Medical Degree, as well as a Master of Public Health, from the University Of Rochester School Of Medicine, followed by residencies in Internal Medicine and Pediatrics at the University of California, San Diego. She also holds an MBA from the University of Pennsylvania’s Wharton School.
As Chief Medical Information Officer at two world class academic medical health systems, she has lead or collaborated on a number of initiatives ranging from EMR optimization and usability, introduction of new technology and population health initiatives, process improvement, and implementation of AI in clinical operations. She leads the University of Utah’s Enterprise Data Warehouse which provides a complete suite of data and analytic end-to-end solutions for operations and research purposes. She strives to “leave no one behind” with a team-based approach to supporting all members of the healthcare community to achieve professional fulfillment in our rapidly changing digital healthcare environment.
Dr. Hightower has been recognized twice by Health Data Management as one of the “Most Powerful Women in Healthcare IT” and “25 leading CMIOs at healthcare organizations.” She was recognized by Becker’s Hospital Review as one of “50 hospital and health system CMIOs to know 2017”.
Dr. Hightower’s professional interests include healthcare leadership, clinical informatics, clinical decision making and the evolution of medical care in the digital era. She believes that diverse teams create and innovate. Her drive is to advance the work of clinicians, care teams, researchers, educators and learners by providing health information technology tools, processes, and systems needed to adapt to change and provide value to our patients, families and communities in the digital era of healthcare.
She enjoys spending time with family in the great outdoors and is an avid skier, tennis player and runner. She loves gadgets of all kinds and can be found wearing more than one fitness tracker at all times.
Mia LevyDirector of Cancer Center, Rush University Medical Center Invited Speaker
Dr. Mia A. Levy is the Director of the Cancer Center at Rush University Medical Center and the System Vice President for Cancer Services at Rush System for Health. She is an Associate Professor of Medicine in the Division of Hematology and Oncology and a practicing medical oncologist specializing in the treatment of breast cancer and precision oncology.
Dr. Levy’s research mission is to develop and disseminate learning cancer systems that deliver data and knowledge driven clinical decision support across the continuum of cancer care and research. To accomplish this, she applies biomedical informatics and implementation science methods to real-world problems in healthcare delivery systems. As the director of the Cancer Center at Rush University Medical Center, Dr. Levy is leading efforts to create a learning healthcare system as part of the strategic direction for continuous discovery and improvement of cancer outcomes embedded into routine clinical practice. Precision cancer medicine implementation continues to be a driving use case for the learning systems framework, combining integration of genomic data into clinical workflows within the electronic health record, knowledge driven clinical decision support systems driven by the My Cancer Genome knowledge base, and infrastructures for secondary use of data for discovery both locally and as part of international data consortium.
Josh MandelChief Architect, Microsoft Healthcare Tutorial + Sandbox Co-Lead
Matt MightProfessor, University of Alabama at Birmingham Invited Speaker
Matt Might has been the Director of the Hugh Kaul Precision Medicine Institute at the University of Alabama at Birmingham (UAB) since 2017. At UAB, Matt is the Hugh Kaul Endowed Chair of Personalized Medicine, a Professor of Internal Medicine and a Professor of Computer Science.
From 2016 to 2018, Matt was a Strategist in the Executive Office of the President in The White House. In 2015, Matt joined the faculty of the Department of Biomedical Informatics at the Harvard Medical School, first as Visiting Professor and since 2017 as Senior Lecturer.
Matt is co-founder and Chief Scientific Officer of NGLY1.org, and he was a co-founder and Scientific Advisor to Pairnomix. Q State Biosciences acquired Pairnomix in October 2018 and Matt remains a Scientific Advisor and Board Member.
At UAB, Matt has grown research-based consultation service for individualized care into a precision care clinical program serving the needs of patients for the most challenging cases in medicine. To serve this patient population, the Institute has developed mediKanren -- a biomedical artificial intelligence agent primarily intended for individualized drug repurposing, but also useful for challenging diagnostic odysseys and other applications. Over the past three years, deploying this agent with front-line clinicians has significantly guided the design, the interface and the engineering of this agent and its use in practice.
Margaret MitchellEthical AI Researcher Panelist
Margaret Mitchell is a researcher working on Ethical AI, currently focused on the ins and outs of ethics-informed AI development in tech. She has published over 50 papers on natural language generation, assistive technology, computer vision, and AI ethics, and holds multiple patents in the areas of conversation generation and sentiment classification. She previously worked at Google AI as a Staff Research Scientist, where she founded and co-led Google's Ethical AI group, focused on foundational AI ethics research and operationalizing AI ethics Google-internally. Before joining Google, she was a researcher at Microsoft Research, focused on computer vision-to-language generation; and was a postdoc at Johns Hopkins, focused on Bayesian modeling and information extraction. She holds a PhD in Computer Science from the University of Aberdeen and a Master's in computational linguistics from the University of Washington. While earning her degrees, she also worked from 2005-2012 on machine learning, neurological disorders, and assistive technology at Oregon Health and Science University. She has spearheaded a number of workshops and initiatives at the intersections of diversity, inclusion, computer science, and ethics. Her work has received awards from Secretary of State Ash Carter and the American Foundation for the Blind, and has been implemented by multiple technology companies. She likes gardening, dogs, and cats.
Joao MonteiroChief Editor of Nature Medicine Fireside Chat
Joao received his medical training at the Federal University in Rio de Janeiro, Brazil, where he also earned a PhD degree, studying tolerance to self-antigens in autoimmune diseases. Afterwards he was awarded a postdoctoral fellowship from the Pew Charitable Trusts to pursue studies on T cell antigen recognition and in vivo dynamics of the immune responses at the U.S. National Institutes of Health. He has been serving the scientific community as a professional editor since 2013, first as senior editor for immunology and translational medicine at Cell, and later being appointed Chief Editor of Nature Medicine. There, he leads a team of editors and journalists covering news and research across the entire landscape of translational and clinical research. Joao is passionate about harnessing the power of science to reduce inequalities and to improve human health across the globe.
Ziad OberymeyerAssociate Professor, UC Berkeley Panelist
Suchi SariaAssistant Professor, Johns Hopkins Panelist
Suchi Saria is the John C. Malone Assistant Professor of computer science, statistics and health policy and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She is also the founding Research Director of the Malone Center for Engineering in Healthcare at Hopkins. She was invited to join the National Academy of Engineering’s Frontiers of Engineering in 2017 and more recently to the National Academy of Medicine’s Emerging Leaders in Health and Medicine. Her research focuses on developing next generation diagnostic and treatment planning tools that leverage statistical methods to individualize care. Towards this, her methodological work focuses on questions such as: How can we combine different sources of information with prior knowledge to derive actionable inferences? How can we characterize and improve reliability of the resulting inferences in challenging real- world settings? How can we support decision-making in safety-critical domains?
Her work has received recognition in numerous forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015), the DARPA Young Faculty Award (2016), MIT Technology Review’s ‘35 Innovators under 35’ (2017), the Sloan Research Fellowship (2018), and the World Economic Forum Young Global Leader (2018). In 2017, her work was among four research contributions presented by Dr. France Córdova, Director of the National Science Foundation to Congress’ Commerce, Justice Science Appropriations Committee. Saria joined Hopkins in 2012. Prior to that, she received her PhD from Stanford University working with Prof. Daphne Koller.
Rupa SarkarEditor-in-Chief, Lancet Digital Health Fireside Chat
Nigam ShahAssociate Professor, Stanford University Panelist
Jessie TenenbaumChief Data Officer, North Carolina DHHS Panel Moderator
Jessie Tenenbaum serves as the Chief Data Officer (CDO) for DHHS, assisting the Department in developing a strategy to use information to inform and evaluate policy and improve the health and well-being of residents of North Carolina.
Prior to taking on the role of CDO, Tenenbaum was a founding faculty member of the Division of Translational Biomedical Informatics within Duke University's Department of Biostatistics and Bioinformatics. Her research applies expertise in data standards and electronic health records to stratify mental health disorders to enable precision medicine. She is also interested in ethical, legal and social issues around big data and precision medicine. Prior to her faculty role, Tenenbaum was Associate Director for Bioinformatics for the Duke Translational Medicine Institute, with a focus on data standards and enterprise data warehousing.
Nationally, Tenenbaum is a member of the Board of Directors for the American Medical Informatics Association (AMIA) and plays a leadership role in AMIA's Committee on Women in Informatics. She is an Associate Editor for the Journal of Biomedical Informatics and serves on the Board of Scientific Counselors for the National Library of Medicine. She also serves on a number of editorial and advisory boards including Nature Scientific Data and Briefings in Bioinformatics.
After earning her bachelor’s degree in biology from Harvard University, Tenenbaum was a Program Manager at Microsoft Corp. in Redmond, Wash., for six years before pursuing a PhD in biomedical informatics at Stanford University. As a 2006 Science Policy Fellow at the National Academy of Medicine (then the Institute of Medicine), she helped to organize the first Roundtable on Evidence-Based Medicine and assisted in early planning stages for a workshop on health information technology.
Tenenbaum is a strong promoter and advocate of young women interested in in STEM (science, technology, engineering and math) careers. She volunteers in local schools to teach programming to elementary school students and volunteers with Triangle Women in STEM to plan annual STEM Day events for girls.
Scott WeingartenCEO, Stanson Health Panelist
Scott Weingarten, MD, MPH, is Chief Executive Officer of Stanson Health, recently acquired by Premier, Inc., and consultant to the CEO at Cedars-Sinai. Stanson Health is a clinical decision support and analytics company which has been purchased by approximately 450 hospitals and is used by more than 100,000 providers. He is also a Professor of Medicine at Cedars-Sinai Health System and a Clinical Professor of Medicine at the David Geffen School of Medicine at UCLA.
Board certified in internal medicine and a fellow of the American College of Physicians, Dr. Weingarten has published approximately 100 articles and editorials on healthcare quality improvement, clinical decision support, and related topics, and has authored numerous chapters on improving the quality of patient care in some of the leading internal medicine textbooks. He has given more than 300 presentations on clinical decision support and related topics throughout the United States and internationally. He is a New England Journal of Medicine Catalyst “Thought Leader.”
Dr. Weingarten has held positions on myriad national committees dedicated to improving patient outcomes, including the National Academy of Medicine Committee on Clinical Decision Support, the Institute for Medical Quality, the American Heart Association’s "Get With The Guidelines" program, and the quality improvement committee of the board of directors of St. Joseph's Health System. He is currently a Board of Director for the Scottsdale Institute. At Cedars-Sinai, he has received the President’s Award, the Golden Apple Teaching Award, and Alumnus of the Year.
Dr. Weingarten was the co-founder, president and chief executive officer of Zynx Health, which was the leader for order sets and care plans for electronic health records. Scott sold Zynx Health to the Cerner Corporation and later to the Hearst Corporation in two successful “exits.” During Scott’s tenure as CEO, Zynx Health was one of the Hearst Corporation’s larger companies. He is a co-inventor of three software patents granted by the United States Patent and Trademark Office.
After graduating from UCLA’s medical school, Dr. Weingarten completed his internship, residency and fellowship in internal medicine at Cedars-Sinai. He later participated in a National Center for Health Services Research Fellowship at the RAND/UCLA Center for Health Policy Study. During the fellowship, he also earned a Master’s of Public Health degree at the UCLA Fielding School of Public Health.
Dr. Weingarten has also worked as a primary care physician at Kaiser Permanente and was awarded partnership status at Southern California Permanente Medical Group.