AI in Healthcare Summit

Transcription

1 DISCOUNTED RATE FOR NON-PROFITS, GOVERNMENT, STARTUPS, AND ACADEMICS! Presents AI in Healthcare Summit PLUS January 18-19, 2018 Harvard Club Boston, MA hear from Prashant Natarajan, best-selling author of Demystifying Big Data and Machine Learning for Healthcare! Key topics will include: An in-depth discussion of the current state of the healthcare AI industry Legal and regulatory issues with AI in healthcare AI-driven advancements in medical imaging and diagnostics AI s role in the rise of value-based care Surgical robotics benefits, limitations, where the industry is headed Integration & interoperability opportunities & challenges AI and precision medicine Chatbots for use in improving healthcare Wearables & IoT for improved patient outcomes AI s impact on care delivery in rural America Data privacy & information management in healthcare...and much more! Being realistic about the limitations of AI in Healthcare Hear from leading minds in healthcare AI including #IENAIHEALTHCARE Sponsors: MGH & BWH CENTER FOR CLINICAL DATA SCIENCE s Dr. Mark Michalski, H20.AI s Sanjay Joshi, FROST & SULLIVAN s Kamaljit Behera, CHOC s Dr. Anthony Chang, OPEN HEALTH NETWORK s Tatyana Kanzaveli, MIT s Leo Anthoy Celi, U PENN s Dr. Stephen Hunt, MERCY HEALTH SYSTEM s Dr. Rowland Todd Stewart, GE VENTURES Jessica Zeaske, SUTTER HEALTH s Dr. Sameer Badlani, NEW YORK PRESBYTERIAN HOSPITAL s Jonathan Gordon, BETH ISRAEL DEACONESS MEDICAL CENTER s Dr. Bill Gillis, UCLA s Dr. Kevin Seals, PHILIPS RESEARCH s Dr. Oladimeji Farri, PINNACLE HEALTH s Dr. John Lazar, GEISINGER HEALTH s Dr. Nephi Walton, HARVARD MEDICAL SCHOOL s Synho Do, and many more! Media Partner:

2 One of the most extraordinary disruptions ever experienced by humankind has arrived: the age of Artificial Intelligence. With autonomous cars, social robots, and smart diagnostics, profound change is in the air...and AI s transformation of healthcare is the most profound of all. From EMRs to precision medicine, remote patient monitoring to surgical robots, drug discovery to diagnostics, AI is poised to completely transform every aspect of clinical practice. It s crucial that healthcare professionals are prepared for where the industry is headed. Don t miss this opportunity to get an in-depth assessment of the most significant change impacting your industry and career! Join us in Boston this January for our AI in Healthcare Summit, an industry-leading event uniquely seated at the burgeoning intersection of healthcare and cutting-edge technologies. You ll discover the latest advances in healthcare AI tools and techniques from the world s top innovators, and come away with a wealth of practical tips and actionable insights that will enable you and your institution or organization to become a pioneer in AI s transformation of healthcare. Make sure to check out our discounts for multiple registrants from the same company. And if you re a non-profit, government agency, startup, or student, there s a special rate for you, too! Top Reasons to Attend Experience a masterful & engaging keynote presentation by esteemed clinician and data scientist Dr. Anthony Chang, Chief Intelligence & Innovation Officer at CHOC, as he talks about both the obstacles and promises awaiting us in the future of AI Healthcare Learn from Prashant Natarajan, best-selling author of Demystifying Big Data and Machine Learning for Healthcare, about the critical difference between science and practice in medicine Hear from Chief Health Information Officer & VP of Sutter Health, Dr. Sameer Badlani, as he speaks to cultural barriers for AI adoption in hospitals and health systems, and how practitioners can begin to overcome them Listen to Dr. Kevin Seals, practicing physician at UCLA s Ronald Reagan Medical Center, as he talks about his experiences designing and using an AI-powered chatbot for radiology decision support Gain considerable insight into AI s impact on precision medicine in a panel including Columbia University s Herbert Irving Assistant Professor of Biomedical Informatics, Nicholas Tatonetti, U Penn s Attending Interventional Radiologist, Dr. Stephen Hunt, Perthera s Chief Information Officer, Subha Madhaven, and Assistant Professor of Genomic Medicine at Geisinger Health, Dr. Nephi Walton And hear from many more practicing clinicians and industry experts as they speak to AI s impact on: Value-based care Integration & interoperability issues Surgical robotics Medical imaging & diagnostics Wearables & IoT Legal liability and regulatory challenges Data privacy and information management Vendor & partnerships management and so much more! We can t wait to see you in Boston! Meg Freitag Content Director INSIGHT EXCHANGE NETWORK, LLC 2

3 Day One January 18, :45 8:45 Continental Breakfast and Conference Registration 8:45 9:00 Chairperson s Opening Remarks Speaker TBD 9:00 9:50 KEYNOTE PANEL: Exploring the State of the Industry Present & Future of AI in Healthcare Discover what AI solutions are being used currently in hospitals, clinics, and health networks, and how they re improving operations in vastly different corners of the industry, from increasing efficiency in EMRs and data-mining all the way to providing life-saving cancer diagnoses. Panelists will also do a deep-dive into their predictions for AI s impact on medicine in the near future. Additional key topics to be discussed will include: What will be physicians new role as AI is adopted? What are the key issues in patient responsibility? Top issues in legal liability concerns What is patentable? And more! Carlos Rodarte Founder & Managing Director VOLAR HEALTH Presenters: Tatyana Kanzaveli CEO & Founder OPEN HEALTH NETWORK Kamaljit Behera Industry Analyst Visionary Healthcare Program FROST & SULLIVAN Sanjay Joshi Chief of Technology, Healthcare, and Life Sciences H2O.AI Dr. Marty Kohn Independent Consultant - Clinical Informatics, Health Policy MARTIN S. KOHN, MD 9:50 10:30 OPENING KEYNOTE: AI in Healthcare in the Future Obstacles and Promises from a Dual Clinician-Data Scientist Perspective In this session, Dr. Anthony Chang will offer his unique intersectional perspective on the world of Healthcare AI. He will discuss in depth the many challenges and limitations he s observed and experienced in his dual role of physician and data scientist, as well as how these challenges have been and can be overcome. He will outline what he sees for the future of AI in medicine, including the urgent need for more meaningful human-to-human interface between clinicians and data scientists, AI in a big data-deficit environment, and the emerging prominence of truly innovative deep learning methods such as reinforcement and one-shot learning, and more! Dr. Anthony Chang Chief Intelligence and Innovation Officer CHILDREN S HOSPITAL OF ORANGE COUNTY 10:50 11:15 General Session: The Seven Deadly Sins of AI Predictions Applied to Healthcare Hysteria sometimes surrounds the discussions of the future of AI. From Elon Musk to Bill Gates to Stephen Hawking, many leaders have grave concerns about how AI can destroy humanity. Robotics pioneer and former Director of Computer Science and Artificial Intelligence, Rodney Brooks, recently penned a great response to this hysteria in MIT Technology Review outlining Seven Deadly Sins to avoid when making AI predictions. We will explore each of these deadly sins as applied to predicting the future of AI more specifically in healthcare. Further we will explore how to consider this framework strategically as a competitive advantage. Dr. Rowland Todd Stewart VP Clinical Integrated Solutions MERCY HEALTH SYSTEMS 11:15 11:45 Topic TBD Speaker TBA [Reserved] 11:45 12:15 General Session: Bridging the Health Data Divide With advances in artificial intelligence, are we on the cusp of a datadriven learning health system? Not yet, it would seem. In medicine, the massive troves of data needed to pour into machine learning algorithms are difficult to find and access. For the development of machine learningbased approaches to care, data must first be properly archived, integrated across data sources and shared for reuse. Most hospitals have a long way to go in this regard. Data is still treated as a currency for clinical researchers to build careers, harming efforts to combine data to an extent that can fuel progress. But the most daunting challenge, as with most complex problems of our time, is the lack of collaboration across the key players who represent the disciplines and who continue to work in their own silos. Greater emphasis on collaboration outside the traditional multidisciplinary realm and into the engineering, mathematical, and computer sciences will help us to create the right environment for a move towards a true data revolution in healthcare. Leo Anthony Celi Principal Research Scientist MASSACHUSETTS INSTITUTE OF TECHNOLOGY 12:15 1:30 STARTUP SHOWCASE LUNCHEON Grab some lunch and then meet us back in Harvard Hall at 12:30 for our exciting, fast-paced startup showcase. Each burgeoning startup will have 5 minutes to showcase their product and explain how their AI-enabled solutions are poised to positively impact healthcare. Showcase will be followed by a deep-dive Q & A with all of the presenters. David Lapointe CEO OPTINA DIAGNOSTICS 10:30 10:50 Networking & Exhibit Break 3

4 Track A 1:30 2:00 USE CASE: Deep Learning for Improved Patient Engagement Deep learning has emerged as the preferred approach for developing AI systems when dealing with limited or no annotated corpora. Aside from the success of deep learning techniques in addressing typical natural language processing tasks, integrating memory and attention in neural networks while leveraging relevant knowledge sources yields results that often outperform various state-of-theart models. This session focuses on the implementation of different neural network architectures to address salient healthcare-related tasks like pharmacovigilance, question-answering and paraphrasing. Dr. Oladimeji Farri, Principal Scientist, Artificial Intelligence Lab PHILIPS RESEARCH Track B Regulatory and Legal Challenges for AI in Healthcare The session will cover the following key regulatory and legal challenges for AI in healthcare: Validation standards: establishing clinical evidence Understanding exceptions, e.g., the 21st century Cures Act and others Key issues specific to AI in 501k clearance FDA concerns with cybersecurity and patient safety Who s liable if something goes wrong? Establishing evidence-based results to head off liability issues Potential implications of poor coding or algorithm bias Machines learning from machines; the implications Patient safety and health information security risks Jodi Daniels, Founder RED CLOVER ADVISORS 2:00 2:50 PRACTITIONERS ROUNDTABLE: Embracing a Paradox Using AI to Bring the Human Element Back to Healthcare While some are concerned that the use of AI in healthcare will create more distance between clinicians and their patients, AI can in fact help with many of the administrative and diagnostic burdens doctors and nurses are facing today, allowing them, paradoxically, to instead focus on the uniquely human elements of patient care. In this session you ll learn about clinical applications of AI particularly around EMRs, data-mining, and imaging/diagnostics being pioneered in hospitals and health systems and how they re helping improve the doctor/patient relationship. TBA Dr. Anthony Chang, Chief Intelligence and Innovation Officer CHILDREN S HOSPITAL OF ORANGE COUNTY Ray Wolf, CEO DIGITAL CYBER LLC Dr. Andrew Beam, Ph.D./Faculty, Department of Biomedical Informatics HARVARD MEDICAL SCHOOL Dr. Oladimeji Farri, Principal Scientist, Artificial Intelligence Lab PHILIPS RESEARCH EXECUTIVE ROUNDTABLE: Integration & Interoperability Challenges for AI in Healthcare Intended both for developers and healthcare decisionmakers alike, this in-depth panel will cover the logistical issues surrounding the integration of new datasets & AI tools & solutions into existing systems & infrastructures within hospitals, clinics, and health networks. Presenters: 2:50 3:10 AFTERNOON BREAK 3:10 4:10 PANEL: AI in Diagnostic Imaging Opportunities, Challenges, & Predictions for the Future Discover what medical imaging AI solutions are being used currently in hospitals, clinics, and health networks, and how they re improving operations in vastly different corners of the industry, from improving efficiency in clinician workloads and hospital operations all the way to providing life-saving early diagnoses of cancer and other diseases. This roundtable will discuss what AI is proven to be exceptionally good at in imaging as well as the areas in which it s still light years behind the human eye. It will also provide an in-depth look into collaboration, innovation, and entrepreneurship opportunities, how to address common communication barriers between clinicians, healthcare executives, and IT, how the current social and political climates are impacting the industry, and more! Synho Do, Director, Laboratory of Medical Imaging and Computation HARVARD MEDICAL SCHOOL Katherine Andriole, Director of Research Strategy & Operations MGH & BWH CENTER FOR CLINICAL DATA SCIENCE Dr. Kevin Seals, Physician, Radiologist, Engineer UCLA RONALD REAGAN MEDICAL CENTER Dr. Alex Bratt, Radiology Resident WEILL CORNELL MEDICINE NEW YORK PRESBYTERIAN HOSPITAL Al Naqvi, CEO & Professor AMERICAN INSTITUTE OF ARTIFICIAL INTELLIGENCE Dr. Sameer Badlani, Chief Health Information Officer & VP SUTTER HEALTH Dr. Bill Gillis, Chief Information Officer--BIDCO BETH ISRAEL DEACONESS MEDICAL CENTER Denny Brennan, Executive Director MASSACHUSETTS HEALTH DATA CONSORTIUM 3:10 3:50 USE CASE: Data Sharing and Standardization to Accelerate Research in Critical Care Enormous quantities of data are collected from patients in hospital intensive care units (ICUs), operating rooms and emergency departments, but most of these data are not analyzed to discover new knowledge. Standardized guidelines are dependent on an evidence base that is surprisingly weak in the field of critical care considering the amount of data generated in the ICU. We argue that the largest barrier to progress in these fields is the lack of publicly available research data. The Medical Information Mart for Intensive Care (MIMIC) is one such publicly available resource which is the source of over 50 publications a year. Integrating new data sources into MIMIC would broaden its impact, but is complicated but custom database architectures and vocabularies present at many hospitals. In this talk, we will discuss the process of releasing sensitive medical data to the public in a safe and secure way, the opportunities that data sharing provides, and the challenges in scaling this process up to multiple international institutions. Tom Pollard, Postdoctoral Research Associate MASSACHUSETTS INSTITUTE OF TECHNOLOGY Alistair Johnson, Postdoctoral Associate MASSACHUSETTS INSTITUTE OF TECHNOLOGY 3:50 4:10 USE CASE: TOPIC TBD Speaker TBA 4

5 Track A 4:10 4:35 USE CASE: CRISPR for Functional Pharmacogenomics in Precision Medicine Technological advancements in bioinformatics, proteomics, genomics, molecular imaging, and targeted therapeutics have improved the prospects of matching patient-specific variables to targeted treatment strategies. CRISPR has potential to revolutionize functional pharmacogenomics by allowing for precise knockout of molecular pathways to assess their relevance to drug sensitivity and resistance. In this lecture, I will provide an overview of a clinical trial at the University of Pennsylvania in patients with hepatocellular carcinoma that uses CRISPR as a screen for drug sensitivity. Dr. Stephen Hunt, Attending Interventional Radiologist UNIVERSITY OF PENNSYLVANIA 4:35 5:30 PANEL: Advancing Precision Medicine with Machine Learning While precision medicine promises to improve outcomes and reduce costs through targeted, data-driven, personalized therapies, organizations still face significant challenges in implementing personalized medicine programs. The issues around quantity and quality of data must be addressed, in addition to making genomic information usable and meaningful at the point of care. This session will address these challenges, as well as opportunities associated with using precision medicine and genomics in daily practice. Other key topics to be discussed will include: Tools for integrating genetic and genomic data into clinical workflows to improve patient care How to determine from the data when a genetic test makes sense for a patient What hurdles exist in capturing structured patient outcomes Existing business, technological, political and policy barriers Sanjay Joshi, Chief of Technology, Healthcare, and Life Sciences H2O.AI Nicholas Tatonetti, Herbert Irving Assistant Professor of Biomedical Informatics COLUMBIA UNIVERSITY Dr. Stephen Hunt, Attending Interventional Radiologist UNIVERSITY OF PENNSYLVANIA Dr. Nephi Walton, Assistant Professor of Genomic Medicine GEISINGER HEALTH Subha Madhaven, Chief Information Officer PERTHERA Track B USE CASE: Impact of Culture on AI Adoption In this session, Dr. Sameer Badlani will talk about culture barriers with AI use and adoption, and how we can leverage a deeper understanding of our culture to break down these barriers. He will outline how this translates to clinical culture, and how clinicians and other healthcare providers can manage this culture to help drive AI adoption. Dr. Sameer Badlani, Chief Health Information Officer & VP SUTTER HEALTH PANEL: AI s Role in the Rise of Value-based Care Transforming the U.S. healthcare system from fee-for-service to pay-for-value requires healthcare organizations and providers develop a new set of capabilities, and AI is emerging as one of the leading technologies that is enabling these changes. This comprehensive session will outline the immense challenges providers are currently facing as existing healthcare models are turned upside down, and ways in which innovative AI solutions are proving crucial for easing this transition as well as helping providers to better deliver high-quality, low-cost care. Prashant Natarajan, Director of Business Strategy ORACLE Author of Demystifying Big Data and Machine Learning for Healthcare Dr. Bill Gillis, Chief Information Officer--BIDCO BETH ISRAEL DEACONESS MEDICAL CENTER Dr. Salim Saiyed*, Chief Medical Information Officer CAROMONT HEALTH Additional panelists TBA 5:30 6:30 GALA COCKTAIL RECEPTION 5

6 Day Two January 19, :15 8:45 Continental Breakfast 8:45 9:00 Chairperson s Recap of Day One Speaker TBD 9:00 9:50 KEYNOTE PANEL: Bringing AI Back Down to Earth Being Realistic About the Limitations of AI in Healthcare With so much of the industry focused on moonshots and so much buzz surrounding AI and machine learning, it can be hard to know where these hyper-disruptive technologies are actually needed, where they re superfluous, and what AI and ML are actually capable of today. In this panel you will hear several esteemed practitioners talk candidly and pragmatically about the unsexy side of AI healthcare the practical ways AI is being applied currently, the inherent and necessary limitations, and the risks involved in adoption and implementation. Varesh Prasad Ph.D. Candidate in Medical Engineering & Medical Physics HARVARD-MIT HEALTH SCIENCES & TECHNOLOGY Dr. Rowland Todd Stewart VP of Clinical Integrated Solutions MERCY HEALTH SYSTEM Dr. Warris Bokhari Director of New Business Models GE HEALTHCARE Dr. Sven Van Poucke Anesthesiologist, Emergency Physician ZOL GENK Data Scientist JUST AS PI Finale Doshi-Velez Assistant Professor of Computer Science HARVARD UNIVERSITY 9:50 10:30 OPENING KEYNOTE: Machine Learning in the Healthcare Enterprise The promise of machine learning and artificial intelligence within multiple facets of healthcare is hard to overstate, with transformational potential ranging from population health, to drug discovery, to hospital operations, and much more. However, there are major challenges in the translation of these technologies to the healthcare enterprise, including incorporating this technology, from implementation to safety validation to driving physician and administrator adoption. This talk will cover some of the emerging technologies that are finding their way into the healthcare system, and give a vantage point of one such system that has adopted these tools and is beginning to take on the challenge of bringing AI to medicine. Dr. Mark Michalski Executive Director MGH & BWH CENTER FOR CLINICAL DATA SCIENCE 10:30 10:50 Networking and Exhibit Break 10:50 11:20 General Session: Are we There Yet? Democratizing AI & Robotics for Patients & Providers The current discourse on machine learning, AI, and robots in health sciences is driven by engineers, data scientists, technology companies, and academic research. While we often hear that there is a need to democratize AI for the masses (professionals and laypersons who will participate & be impacted by it) - there is not yet clear agreement on the most efficient ways to accomplish this need. This talk begins by acknowledging the drivers and the complementary, sometimes contradictory, perspectives among stakeholders. Using industry perspectives & original research, we will present a framework of best practices & practical methods that you can use to enable more engaged patients and higher clinician satisfaction via optimized humanmachine interaction (robots, contextually intelligent agents, chat bots, etc). Prashant Natarajan Director of Business Strategy ORACLE Author of Demystifying Big Data and Machine Learning for Healthcare 11:20 12:15 PANEL: Investor Perspectives on AI in Healthcare With a record number of investment deals occurring in the healthcare artificial intelligence space, investors have their fingers on the pulse of what AI technologies are positioned to have the biggest impact on hospital operations and clinical practice. In this panel they will discuss not just where they re investing, but why they re making the investment decisions that they are. Some topics to be discussed will include: What do investors see as the near-term and longer-term applications for AI in healthcare? Will AI in healthcare undergo a similar consolidation to EMRs and other enterprise systems? Will the healthy valuations for AI companies continue to hold up? Varesh Prasad* Ph.D. Candidate in Medical Engineering & Medical Physics HARVARD-MIT HEALTH SCIENCES & TECHNOLOGY Jessica Alderman Zeaske Director, Healthcare Investments GE VENTURES Jonathan Gordon Director, NYP Ventures NEW YORK PRESBYTERIAN HOSPITAL James W. Weis Partner NEST.BIO VENTURES 12:15-1:15 Luncheon for all attendees ABOUT IEN IEN is focused on producing practical, actionable, and content-driven events. We personally interview literally hundreds of people in each conference s topic area, discovering their on-the-job problems, issues and concerns. We then find the very best speakers to offer solution-driven content, as well as facilitating peer-to-peer networking at each event. Our events are not trade shows or expos, although we do offer partnership opportunities to select vendors. We re focused on the attendee s needs entirely. 6

7 Track A 1:15 1:45 USE CASE: A Review of the Current & Future Role of Robotics in Surgery A Surgeon s Perspective The intent of this talk will be to cover the basics of surgical robotics with a significant focus on the current state of the technology and its achievements and challenges from the perspective of a practicing robotic surgeon and administrator. Included in the talk will be insights regarding implementation, regulatory and ethical challenges, and emerging technology including artificial intelligence. Dr. John Lazar, Thoracic Surgeon & Medical Director of Robotics Institute PINNACLEHEALTH SYSTEM 1:45 2:35 1:45-2:20 A Pragmatist s Guide to AI in Healthcare Session details forthcoming Dr. Warris Bokhari, Director of New Business Models GE HEALTHCARE 2:20 2:35 USE CASE: Building a Doctor-to-Doctor Simulated Radiologist Chatbot for Improved Hospital Efficiency and Patient Care In this session Dr. Kevin Seals will talk about how he and his team used artificial intelligence to create a chatbot that provides a decision support tool for radiology issues in the hospital, encouraging adherence to evidence based guidelines and helping healthcare providers get crucial information needed to take care of their patients more quickly and easily. He will also discuss how this same technology can potentially be used to create chatbots simulating other types of specialized physicians, such as neurosurgeons or cardiologists. Dr. Kevin Seals, Physician, Radiologist, Engineer UCLA RONALD REAGAN MEDICAL CENTER Track B USE CASE: Artificial Intelligence and Clinical Data Transforming Healthcare Delivery in Rural America Dr. Paiva will present a history of Artificial Intelligence and Machine Learning and the applications within Health Care. In addition, he will provide an overview of Oklahoma State University s (OSU) Center for Health Systems Innovation s (CHSI) efforts to apply these approaches to the transformation of health care delivery with an emphasis on rural health care. Specific examples will be shown utilizing the largest clinical database representing clinical information from 63 million patients collected over 16 years through electronic medical record systems. Dr. William D. Paiva, Executive Director, Center for Health Systems Innovation OKLAHOMA STATE UNIVERSITY PANEL: Key Issues in Data Privacy and Information Management This session will discuss the following: HIPAA: applications and effects on AI Who owns the data? Implications of the GDPR, effective May 2018 Information management and governance: solid policies for record retention and data integrity over time Gaining patient consent Moderator TBA Jacques Nack, Chief Executive Officer JNN GROUP, INC. Denny Brennan, Executive Director MASSACHUSETTS HEALTH DATA CONSORTIUM Christopher Savoie, Founding CEO & Director KYULUX Paul Starrett, CEO STARRETT CONSULTING, INC. 2:35 3:30 PANEL: Chatbots & Virtual Assistants for Use in Healthcare Session details forthcoming Dr. Kevin Seals, Physician, Radiologist, Engineer UCLA RONALD REAGAN MEDICAL CENTER Tatyana Kanzaveli, CEO & Founder OPEN HEALTH NETWORK Wolf Shlagman, CEO/Founder CAREANGEL Dr. Reid Conant, Chief Medical Information Officer NUANCE COMMUNICATIONS, INC. PANEL: Wearables & IoT for Improved Clinical Efficiency & Better Patient Outcomes Wearable have moved past the hype and are now playing a key role in clinical success, lower cost of care, and improved patient experiences and outcomes. Listen to several industry leaders discuss in depth the impact wearables and sensors are having on different kinds of care: preventative, post-acute, chronic, aging, and more. Dr. Salim Saiyed, Chief Medical Information Officer CAROMONT HEALTH Kamaljit Behera, Industry Analyst Visionary Healthcare Program FROST & SULLIVAN Dr. Marty Kohn, Independent Consultant - Clinical Informatics, Health Policy MARTIN S. KOHN, MD Additional panelist TBA 3:30 CONFERENCE CONCLUDES * Pending final confirmation 7

8 Past attendees include: Bureau of Medicine and Surgery Redpoint Ventures Fred Hutch Quark Venture Sutter Health FHAS Arterys Medical Metrics Lifelabs Memorial Sloan Kettering Cancer Center CareCentrix CHOC Suggestic Lumiata Philips Healthcare Kaiser Permanente Philips Research - North America Servicenow Hexoskin Savonix CrossChx Alignment Healthcare McDermott Will & Emery LLP Siguler, Guff & Company, LP Fujifilm Medical Systems Atomwise Pricing Standard Appen Medical Metrics Lily MkKesson Data & Analytics UT Southwestern Medical Center VentureBeat Therachat Parkland Center for Clinical Innovation Humana Health Ventures Sepac, Inc Baxter International Inc. Mayo Clinic Ventures Microsoft L.E.K. Consulting IBM CATALAIZE Carrick Capital Partners, LLC Society of Physician Entrepreneurs Norwest Venture Partners Qventus American Institute of Artificial Intelligence Pathway Genomics Rezilir Health Seoul National University Andreessen Horowitz IBM Watson Health Life Science Angels Sand Hill Angels Storm Ventures, LLC Incube Ventures, LLC Horizon Blue Cross Blue Shield of New Jersey ewellness Healthcare Corporation TwoXAR Aetion OptumLabs, Inc Optum Technology Volar Health Briia Johnson & Johnson Development Corporation Dedicated Computing Aphelion Capital, LLC UCLA Medical Center Institute for Computational Health Sciences, UCSF Intel VIDA Diagnostics Herbert Irving Comprehensive Cancer Center Vocera UCSF Medical Center Huffington Post The OutCast Agency Non-Profit/Government/Start-Up/Academic** $1495 $995 TEAM DISCOUNTS Three Delegates will receive a 10% DISCOUNT Four Delegates will receive a 15% DISCOUNT Five Delegates or More will receive a 20% DISCOUNT Please call Rhonda West to make your group reservation at or Rhonda@insightxnetwork.com Refunds and Cancellations: For information on refunds and cancellations please visit our website: Team discounts cannot be combined with any other offers. ** If you re a student or academic, or from a governmental agency, non-profit, or startup (defined as a company that s three years old or less), you can take advantage of a discount on the regular full conference pass rate. You will be required to show proof of your student, academic, or non-profit status. ABOUT THE VENUE: HARVARD CLUB OF BOSTON Harvard Club of Boston Back Bay Clubhouse 374 Commonwealth Ave. Boston, MA P: (617) Rate: $199/night* You may know us by name and heritage, but there s so much more to the Harvard Club than meets the eye. We re not just a club, we re a circle of friends, family, colleagues, past and present classmates Our philosophy is simple: belong. No matter if you stop in for networking, socializing or just relaxing, you re sure to make connections and memories that extend far beyond our walls. Our history may come with traditions but it s our members who shape our thriving community every day. * Reserve before December 17 and mention Insight Exchange Network to receive this special discounted rate. Please be aware that these rooms are first come, first served and may fill up quickly. 8

9 Sponsorship and Exhibit Opportunities Insight Exchange Network, LLC ( IEN ) has a limited number of sponsorship opportunities in a variety of packages to help you get your message out to attendees. Sponsorship pricing is based on packages and start at low out-of-pocket. We can customize a variety of solutions to provide you with the best possible network opportunity. For more information, contact Will Adams at or Will@insightxnetwork.com Gold Sponsor Luminoso s leading natural language understanding software applies machine learning to analyze text-based data from any industry in real-time. Companies use the insights that Luminoso s solutions uncover to streamline their contact center processes, monitor brand perception, and optimize the customer experience. Luminoso s software can be deployed via the cloud or an on-premise solution. Unstructured data can be natively analyzed in 13 languages, including Chinese, Korean, Japanese, and Arabic. Luminoso is privately held with headquarters in Cambridge, MA. For more information, please visit Silver Sponsor Optina Diagnostic is an AI-focused clinical diagnostic company supporting low-cost, biomarker-based diagnostics for cognitive diseases through the eye, with a primary focus on Alzheimer diagnostics. With five clinical sites currently in operation, Optina Diagnostics is ready to deliver a spectral eye scanning and biomarker development solution to pharma companies. The Optina eye scan will improve patient management of the cognitively impaired aging population and will soon be available to screen individuals over 60 to aid the prevention of cognitive diseases. Media Partner Since 2004, Medgadget has been reporting on medical technology from around the world. We cover the latest medical devices and approvals, technology breakthroughs and discoveries, conduct exclusive interviews with med tech leaders, and file reports from healthcare conferences. 9