AMIA Clinical Informatics Conference 2021 Workshop

Real-time Insights for Optimizing Healthcare Delivery: Translating Evidence into Action

May 18 10:30AM - 3:00PM VIRTUAL EVENT

With the continued impetus to move from fee-for-service to value-based care, one major challenge health systems are facing is how to best enable real-time insights to enhance provider decision-making to improve care delivery. Recently, impactful use cases have emerged in a number of healthcare delivery scenarios to demonstrate the value of real-time insights; however, while many of the use cases are centered around the use of individualized insights learned from data, there has not been consensus on how best to embed data-driven insights in clinical workflow and how to better enable behavioral changes at the point of care. This workshop will bring healthcare system and informatics leaders together to pinpoint the challenges and opportunities in identifying, creating, implementing and utilizing clinical AI/machine learning solutions, and outline best practices for a successful implementation. The workshop will be structured into three sessions. At the first two sessions, participants will hear from three health system leaders, clinicians, and informatics experts about their experiences with real-time insight solutions (for 15 minutes each), and then they will join a roundtable discussion that will include a Q&A session with the moderator and from the audience/attendees. For the last session, the conversation will focus on the health system user point of view, and engage leading quality and safety experts. At the end of the workshop, attendees will be able to: 1. Identify important use cases in the three key areas where the use of real-time insights could transform practice in healthcare delivery. 2. Define a set of success criteria for how healthcare organizations could use a platform-based approach to incorporate evidence in the everyday clinical decision-making process on the frontline of care delivery and best practices for enabling behavioral change to secure adoption, engagement and trust. 3. Identify pathways to incorporate the use of real-time insights in healthcare organizations.

May 18 10:30AM - 3:00PM Eastern Time

Agenda Item Time Discussion

Intro 10:30-10:40am Overall workshop goal and set up

Working Session 1: 10:40-11:25am Panelists will discuss real-time insight solutions in practice; how Panel presentations they developed, implemented, and results seen so far. Strategy and Selection 11:25-12:00pm Panelists: Philip Payne, Maxim Topaz and Vikas Chowdhry Roundtable (Moderator: Gretchen In the follow-up roundtable of the first session, we will further Jackdon) dive into the understanding of what are the pros and cons of the different implementation strategies selected in the use cases and whether there exists any common set of contributing factors to the success or failure observed.

Lunch break 12:00-12:30pm

Working Session 2: 12:30-1:15pm Panelists will discuss real-time insight solutions in practice; how Panel presentations they developed, implemented, and results seen so far. Engaging Clinical End Users 1:15-1:50pm Panelists: Dr. Jonathan Gleason, Dr. Dan Durand Roundtable (Moderator: Brian Yeh) In the follow-up roundtable of the second session, we will further dive deeper into engagement and adoption strategies, best practices, common learnings, etc.

Coffee break 1:50pm-2:00pm

Working Session 3: 2-2:45pm The third session will focus on evaluations as well as the user point of view; discuss what providers are seeing in practice, what they want, ways to evaluate solutions and better meet the Monitoring and needs of those on the front line. Evaluating success Panelists: Prof. Derek Angus, Dr. Ed Chen, Amy Miller, Roy (Moderator: Suchi Adams Saria)

Closing 2:45-3:00pm Closing Remarks (Suchi Saria)

Speakers/Organizers: ● Dr. Suchi Saria, PhD is the John C. Malone Associate professor of computer science and statistics at the Whiting School of Engineering and of health policy at the Bloomberg School of Public Health. She is also the founding Director of the Machine Learning, AI and Healthcare Lab and the founding Research Director of the Malone Center for Engineering in Healthcare at Hopkins and the CEO. Her research has pioneered the development of next generation diagnostic and treatment planning tools that use AI and machine learning methods to individualize care. In sepsis, a life-threatening condition, her work first demonstrated the use of machine learning to integrate diverse signals to make early detection possible (Science Trans. Med. 2015). In Parkinson's, her work showed a first demonstration of using readily-available sensors to easily track and measure symptom severity at home, which can serve to optimize treatment management (JAMA Neurology 2018). Dr. Saria also is the founder of Bayesian Health, which leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Recently, Dr. Saria won a grant award from the FDA and is collaborating with them in the development of frameworks for the evaluation of safety and reliability of AI. She was named by IEEE Intelligent Systems as Artificial Intelligence’s “10 to Watch” (2015), MIT Technology Review’s ‘35 Innovators under 35’ (2017), World Economic Forum’s Young Global Leader (2018), DARPA Young Faculty Awardee (2016) and a Sloan Research Fellow (2018). She was invited to join the National Academy of Engineering’s Frontiers of Engineering (2017) and the National Academy of Medicine’s Emerging Leaders in Health and Medicine (2018). She has given over 250 invited talks and is on the editorial board of the Journal of Machine Learning Research. ● Prof. Derek Angus, MD, MPH, FRCP, FCCM, FCCP is the Distinguished Professor of Health Policy Management and Chair of Critical Care Medicine of both the University of Pittsburgh School of Medicine and the UPMC Healthcare System. He directs the CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illnesses) Center. He co-directs the UPMC ICU Service Center. Dr. Angus has led large NIH-funded multicenter studies in the critically ill, the most recent of which is ProCESS (Protocolized Care for Early Septic Shock), a 40-center study focusing on how to best provide early resuscitation for septic shock. Dr. Angus has published several hundred papers, reviews and book chapters, and is currently section editor for “Caring for the Critically Ill” for JAMA. He is the recipient of numerous awards, including the Presidential Citation Award of the Society of Critical Care Medicine, the Master of Critical Care Medicine from the American College of Critical Care Medicine, Best Doctors of America (2005-present), etc. Dr. Angus is a member of the Society of Critical Care Medicine, the American College of Chest Physicians, the American Thoracic Society, the Association for Health Services Research, the European Society of Intensive Care Medicine, and the American College of Critical Care Medicine. ● Dr. Edward S. Chen, MD is Medical Director of the Pulmonary Rehabilitation Unit and Assistant Professor of Medicine at Johns Hopkins School of Medicine. Dr. Chen has led the implementation of several data-driven initiatives for improving patient safety and QI. ● Dr. Jonathan L. Gleason, MD is the Executive Vice President and Chief Quality Officer at Jefferson Health. He has extensive experience leading patient safety initiatives and improving care quality in healthcare systems. Dr. Gleason’s focused interest is balancing technology, analytics, process improvement, and human factors to achieve high reliability through excellent operations in healthcare. Dr. Gleason has developed systems to achieve significant reductions in hospital readmissions, healthcare acquired infections, mortality, and serious safety events, while reducing disruptions to operations. His academic work has focused on patient-centered surgical outcomes and has produced intellectual property including validated web-based applications and medical devices. ● Dr. Daniel J. Durand, MD serves as the Chairman of Radiology for LifeBridge Health, where he leads a team of board-certified sub-specialty trained radiologists and technologists. Dr. Durand earned his medical degree at The Johns Hopkins University School of Medicine and subsequently completed fellowships in musculoskeletal and molecular imaging at The Johns Hopkins Hospital. He is a Diplomate of the American Board of Radiology and holds a Certificate of Added Qualification in Pediatric Radiology. Dr. Durand has over 20 years of experience in healthcare, science, and technology and has authored over 100 scientific papers, abstracts, oral presentations, editorials, and speaks regularly at national conferences on topics related to medical innovation. His writing has appeared in some of the world's best medical journals, including The New England Journal of Medicine (NEJM) and the Journal of the American Medical Association (JAMA). Dr. Durand previously served as the first Director of Accountable Care for Johns Hopkins Medicine, where he led operations and strategy for one of the nation's largest ACOs. Prior to Hopkins, Dr. Durand was a Vice President and member of the executive leadership team at Evolent Health, a healthcare IT start-up where he helped grow revenues from $8 million to $130 million prior to Evolent's successful IPO on the New York Stock Exchange. Prior to Evolent, Dr. Durand worked as an Associate with McKinsey & Company out of the Firm's Washington, DC office. ● Dr. Vikas Chowdhry, PhD, MS, MBA, is the Chief Analytics and Information Officer at Parkland Center For Clinical Innovation (PCCI) with 15+ years of healthcare experience. He works closely with data science and clinical teams at PCCI to develop machine learning driven technologies and products that can empower clinical and social services providers and individuals to create communities that are healthier and more productive. Additionally, Vikas has a keen interest in the area of leveraging incentive programs to influence patient behavior. Prior to joining PCCI, Vikas served in multiple leadership roles at Epic. During his 15 years at Epic, he led multiple product teams to develop and enhance enterprise software for Radiology Information Systems, Labor & Delivery, OB/GYN, Population Health, and Predictive Analytics. He also led the organization’s vision and execution for predictive analytics and machine learning domains including pricing, go-to-market and growth strategies. He has an undergraduate degree in Computer Science from the University of Jodhpur, India, a graduate degree in Computer Science from University of Illinois and an MBA from the University of Chicago Booth School of Business. ● Dr. Maxim Topak, PhD, RN, MA is the Elizabeth Standish Gill Associate Professor of Nursing at the Columbia University School of Nursing. He is also affiliated with Columbia University Data Science Institute and the Center for Home Care Policy & Research at the Visiting Nurse Service of New York. His research focuses on artificial intelligence and he finds innovative ways to use the most recent technological breakthroughs, like text or data mining, to improve human health. Dr. Topaz’s research moto is “Data for good”. Dr. Topaz is one of the pioneers in applying natural language processing on data generated by nurses. His current work focuses on developing artificial intelligence solutions to advance clinical decision making. Dr. Topaz's presentation will focus on implementing a clinical decision support tool that helps to identify patients who need early nursing interventions during hospital to home healthcare transitions. ● Dr. Gretchen Jackson, MD, PhD, FACS, FACMI, FAMIA is the Vice President and Chief Science Officer at IBM Watson Health and an Associate Professor of Surgery, Pediatrics, and Biomedical Informatics at the Vanderbilt University Medical Center. She is an internationally recognized informatician and accomplished clinical surgeon with over 25 years of contributions to informatics research, innovations in health information technologies, and surgical science. She is chair-elect for the Board of Directors for AMIA and an elected fellow of ACMI. She is a member of the editorial boards of JBI and IJMI, and she is an associate editor of Applied Clinical Informatics and JAMIA Open. Prior to joining Watson Health, Dr. Jackson was the Director of Graduate Studies and a co-PI at Vanderbilt University. She has been the PI of a grant from the AHRQ and a member of the Board of Governors for the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), and she has chaired informatics committees at the American College of Surgeons, Association for Academic Surgery, and American Pediatric Surgical Association. She has chaired the Literature Selection Technical Review Committee for the NLM and NIH. ● Dr. Victoria Tiase, PhD, RN-BC, FAMIA, FAAN is the Director of Research Science at New York Presbyterian Hospital. She supports a range of clinical information technology projects related to patient engagement and evaluates technology solutions for increased patient engagement, ensuring the capture and presentation of data for clinical care. She also leads nursing informatics clinical innovation and policy efforts, with a focus on advancing a more interoperable health care ecosystem to benefit patients and caregivers. Dr. Tiase serves on several boards and nursing informatics policy organizations. As Member-at-Large for the Alliance for Nursing Informatics (ANI) and board member of the CARIN Alliance, she provides valuable nursing input to the Code of Conduct on how organizations should share patient data. She also serves on the boards of AMIA and NODE.Health and is the 2021 Chair of the HIMSS Nursing Informatics Committee. Dr. Tiase serves on the National Academy of Medicine Future of Nursing Committee to envision the nurse’s role in using technology to create healthier communities. ● Dr. Pei-Yun Sabrina Hsueh, PhD is an accomplished health AI leader who has extensive experience in applying data science to optimize precision healthcare delivery with data-driven insights in industrial solutions. Dr. Hsueh is the Chair of the AMIA Consumer and Pervasive Health Informatics Work Group and a Board Member on ACM Practitioners Board. She has been leading a series of events in MEDINFO, MIE, SBM, KDD, and AMIA to identify gaps in making data-driven insights interpretable and actionable in clinical practice. She previously served as the Chair of IBM Research Health Informatics Professional Community and Research Staff Member at the Centre of Computational Health and a Member of IBM Academy of Technology. She authored 20+ patents, 50+ scientific publications and books on Machine Learning for Medicine and Healthcare and Personal Health Informatics and edited special issues for Sensors Journal and JAMIA Open. ● Dr. Amy Leigh Miller is Chief Medical Information Officer of Inpatient Clinical Services at Brigham and Women’s Hospital (BWH). In addition, she is a cardiovascular medicine specialist and an assistant professor of medicine at Harvard Medical School (HMS). Dr. Miller received her medical degree and a PhD in neuroscience from the University of Michigan Medical School, and completed a residency in internal medicine as well as fellowships in cardiovascular medicine and electrophysiology, all at BWH. She is board certified in cardiovascular disease and clinical informatics. Dr. Miller’s clinical practice focuses on clinical informatics, cardiovascular outcomes and quality improvement. She is the author of over 30 peer-reviewed publications, and has participated in a number of innovative clinical informatics and quality improvement projects, including the design of BWH’s electronic medication administration record system. She has received several partners in excellence awards from Partners HealthCare. ● Philip R.O. Payne, PhD, FACMI, FAMIA, FAIMBE, is the founding director of the Institute for Informatics (I2) at Washington University in St. Louis, where he also serves as the Janet and Bernard Becker Professor and Professor of Computer Science and Engineering. Previously, Dr. Payne was Professor and Chair of the Department of Biomedical Informatics at The Ohio State University. Dr. Payne is an internationally recognized leader in the field of clinical research informatics (CRI) and translational bioinformatics (TBI). His research portfolio is actively supported by a combination of NCATS, NLM, and NCI grants and contracts, as well as a variety of awards from both nonprofit and philanthropic organizations. Dr. Payne received his Ph.D. with distinction in Biomedical Informatics from Columbia University, where his research focused on the use of knowledge engineering and human-computer interaction design principles in order to improve the efficiency of multi-site clinical and translational research programs. Prior to pursuing his graduate training, Dr. Payne served in a number of technical and leadership roles at both the UCSD Shiley Eye Center and UCSD Moores Cancer Center. Dr. Payne’s leadership in the clinical research informatics community has been recognized through his appointment to numerous national steering, scientific, editorial and advisory committees, including efforts associated with the American Medical Informatics Association (AMIA), AcademyHealth, the Association for Computing Machinery (ACM), the National Cancer Institute (NCI), the National Library of Medicine (NLM) and the CTSA consortium, as well as his engagement as a consultant to academic health centers throughout the United States and the Institute of Medicine. ● Roy Adams. PhD. Roy Adams is an Assistant Professor of Psychiatry and Behavioral Sciences in the Johns Hopkins School of Medicine where he works on machine learning and statistical methods for understanding electronic medical data. He uses these methods to provide insight into complex medical conditions and to improve the safety, efficiency, and efficacy of patient care, with particular focus on sepsis, addiction, and Alzheimer’s disease. He received his PhD in computer science from the University of Massachusetts, Amherst in 2018 and completed a postdoctoral fellowship in computer science and biostatistics at Johns Hopkins University in 2021.