"The conference is amazing! I really enjoy how the conference improves over time as healthcare gets more advanced."
Respond, Recover, Reimagine… Health Catalyst is doing the same in a COVID-19 world. For all of its heartbreaking tragedies, COVID-19 is also driving changes that will benefit the world and humanity. Social distancing aside, our ability to interact with one another through virtual video settings avoids the constraints and environmental impact of physical travel, along with time efficiencies and financial savings.
We are excited to embrace the adventure and challenge of these changes by reimagining the Healthcare Analytics Summit (HAS) 2020 as a virtual format that will be unlike any online conference you’ve attended before. HAS 20 Virtual will feature speakers who’ve battled COVID-19 in the trenches as well as other speakers adjusting and planning for the new normal we are all anticipating. HAS 20 Virtual will keep the high standards and unique elements you’ve come to expect during HAS, from world-class keynote speakers to the individual connections of the Analytics Walkabout.
Industry-Leading Keynote Sessions
HAS 20 Virtual will showcase well-known visionaries and C-level executives from leading healthcare organizations. Key highlights include:
Eric Topol, MD, author, AI expert and healthcare futurist, will share his always insightful perspective on the impact of COVID-19 and our data-driven world.
Vice Admiral Raquel C. Bono, MD, former CEO and director of the U.S. Defense Health Agency and head of Washington state’s COVID-19 healthcare response team, will share her thoughts and experiences in being on the front line of the earlier COVID affected region.
Ari Robicsek, MD, chief medical analytics officer, Providence St. Joseph Health and a specialist in infectious diseases, will share how they quickly mobilized data to prepare and synthesize information about COVID-19 patients throughout their system.
Yonatan Adiri, CEO and founder, Healthy.IO, former CTO to Israeli President Shimon Peres, will share innovations and new uses for smartphones in his keynote address: “The Era of the Medical Selfie.”
Jason Jones is passionate about achieving the Quadruple Aim through better and easier use of data in healthcare, including helping organizations to find analytic focus; helping providers feel that the systems they work for have their backs, and helping people to understand and have their goals and preferences respected for the hopefully brief periods during which they are “patients.”
Previously, Jones served as Vice President, Information Support for Care Transformation, at Kaiser Permanente (KP). In that capacity, he brought together and co-led the national Hospital and Healthplan Quality and Finance analytic functions and led development of national quality strategy and care delivery IT investments. Prior to that, he was KP’s Executive Director of Clinical Intelligence and Decision Support and a Research Scientist in KP’s Southern California region.
Before joining KP, Jones was a Senior Medical Informaticist for Intermountain Healthcare. He also held analytic and marketing positions at Bayer Healthcare in Wayne, N.J., and Ingenix (now Optum) Pharmaceutical Information Products in Salt Lake City, where he developed a model for converting United Healthcare data into a saleable asset for external customers conducting outcomes research.
Throughout his career, Jones has taught graduate courses in statistics to medical informaticists at the University of Southern California and at the University of Utah. He has published dozens of peer-reviewed papers in medicine, predictive modeling, and outcomes improvement.
Chief Health Information Officer & Vice President, Population Health Informatics, ChristianaCare Health System
Terri Steinberg, M.D., M.B.A., FACP is the Chief Health Information Officer and Vice President of Population Health Informatics at Christiana Care Health System, a large multi-entity healthcare organization in Delaware. Dr. Steinberg has lectured and consulted extensively on methods to ensure successful technology adoption by physicians and nurses, on the positive impact of technology on safe medication practice, and on the use of technology to drive Population Health management. As a clinician as well as a software developer, Dr. Steinberg has used her experience to guide the optimal implementation of clinical systems in a manner that is well-accepted by doctors and nurses. Dr. Steinberg currently devotes much of her time to population health IT, to provide innovative technology services to Christiana Care Health System’s care management company, CareLink Care Now.
Dr. Steinberg led the development of the IT platform for Christiana Care Health System’s Center for Medicare and Medicaid Innovation (CMMI) award that led to the technology-enabled prediction analytics care management platform for CareLink Care Now. She continues to innovate in population health technology using various data sources for new methods to segment populations. Dr. Steinberg’s experience includes tenure at Siemens Medical Solution, where she participated in the early development of the Soarian clinical suite of applications. She has consulted on technology matters for the Institute for Safe Medical Practice and has worked with many hospitals and healthcare organizations as they endeavor to implement advanced clinical systems.
Dr. Steinberg is an Internist and Geriatrician. She holds a certification in Internal Medicine from the American Board of Internal Medicine, is a Fellow of the American College of Physicians, and was among the first group of physicians to achieve subspecialty certification in Clinical Informatics. Dr. Steinberg completed her undergraduate studies at the Sophie Davis Center for Biomedical Education, a six-year accelerated medical program at the City College of New York. She earned her Medical Degree from the Mount Sinai School of Medicine in New York. She completed her Residency at the State University of New York School of Medicine at Stony Brook and earned an MBA from Jones University. Dr. Steinberg has two adult daughters and lives in Delaware and Philadelphia with her husband and two Labrador Retrievers Max, and Molly.
(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI, Population Health — Course Level: Intermediate)
Ninety percent of the $3.3T spent in the U.S. annually for healthcare is for people with chronic and mental health conditions. It can be overwhelming to determine which data sources are best for segmenting the population to identify the patients that could benefit the most from population health interventions—critical for ensuring health during a pandemic. Are EMR data components, social determinants of health, claims data, clinical data, or other data the most relevant? This session will describe the use of various data sets to drive a machine learning platform, identify the relative contributions of the data, and discuss which sources are the most important for accurate predictive modeling.
Carrie Rysis the Assistant Vice President of Ambulatory Operations at Texas Children’s Hospital. Carrie has been with Texas Children’s for 20 years. During this time, she spent 10 years as a Director leading teams responsible for TCH and TCPSO Revenue Cycle Operations. In her current role, Carrie’s responsibilities include executive leadership of practice administration associated with 16 Pediatric Medical Sub-specialties. Carrie also has responsibility for the Centralized Credentialing Unit, including both hospital and payor credentialing activities. Carrie has a BBA in Finance as well as an MBA in Accounting.
Assistant Director, Business Operations and Strategic Planning, Texas Children’s Hospital
Grace Karon is the Assistant Director of Business Operations and Strategic Planning at Texas Children’s, with scope including practice management data integrity. With a background working in defense and manufacturing startups, Grace brings experience in long-term strategic planning, financial modeling, and marketing to Texas Children’s. Grace has a BS in Economics.
Access to convenient care is one of the top drivers for patient care site decisions at all times, including the new normal. Learn how Texas Children’s Hospital used a system-wide task force with clinical and administrative leadership to transform patient access, without adding incremental clinical resources. This session will demonstrate how advanced technology—including telehealth, and standardized protocols were used to overcome obstacles to revolutionize the system’s accessibility, ensuring patients can access exceptional care. The result? Monthly visit volume increased by 27%, patient engagement increased, and millions in additional revenue were generated.
The organization will also share how its access work set the stage for continued care delivery during the pandemic, enabling the organization to sustain pre-COVID-19 visit volumes.
Director of Data Quality for the Application Suite Business Unit, Health Catalyst
Taylor Larsen is the Director of Data Quality for the Application Suite Business Unit at Health Catalyst, where he is building solutions that leverage data science, cross-client comparisons, and embedded subject matter expertise to assess, demonstrate, improve, and monitor healthcare data quality to facilitate better data-informed decision making. Taylor is leading a vision for data quality at Health Catalyst that systematizes a shift from structural and content focused data quality to data quality defined by measurable utility and insists data quality improvement is prioritized within the context of outcomes improvement governance. Taylor earned his master's degree in economics from the University of Colorado and his professional experience includes time with Health Catalyst’s Data Science team and at Colorado Medicaid, which provides a unique perspective to draw from in his data quality work
Vice President, Operations for the Application Suite Business Unit, Health Catalyst
Dan Heinmiller is the VP of Operations for the Application Suite Business Unit for Health Catalyst. He oversees teams working to efficiently deploy DOS Mart data products, monitor and optimize DOS Mart performance, develop best practices around release engineering and develop a world class data quality solution. Dan earned his BA in Economics from the Ohio State University and his professional experience includes time as an Analytics Director at Health Catalyst and considerable time at Nationwide Children’s Hospital in central Ohio, where he concentrated on process improvement and optimizing revenue cycle workflows. Dan has worked with a variety of healthcare organizations throughout his career on a variety of projects throughout the United States but still calls Columbus Ohio home with his wife and two young children.
(Analytics Best Practices, Innovative Data and Analytics Transformation — Course Level: Intermediate)
COVID-19 response and recovery efforts provided urgent analytic use-cases, each one highlighting data quality as a prerequisite. Discover five essential data quality lessons that COVID-19 helped shine a light on, and how heath organizations can apply these lessons to be prepared for the future.
In this session, you will learn:
Why assessing data quality at the end of the data pipeline is not good enough.
How firefighting data quality issues falls on the backs of analysts in the absence of a systematic approach to data quality assessments.
Why going beyond simple verification of data quality may require looking outside the four walls of a single organization, and more.
Jennifer Livermore is the Director of Access Operations with ProHealth Care, Waukesha. In her role, Jennifer is responsible for clinical and business operations of Care Access and Patient Access, developing strategies for future access functions and integrating services for patient scheduling, patient engagement, physician referral, answering service, telephone nurse triage, patient registration, referral and order management, and insurance verification and authorization functions. Her team resides with the Revenue Cycle team of ProHealth Care.
She earned a bachelor’s degree in Journalism from University of Wisconsin, Eau Claire and a master’s degree in Integrated Healthcare Management from Western Governors University. Jennifer enjoys volunteering for local organizations and served as a Board Member for the Wisconsin Chapter of the American Association of Healthcare Management.
Among the many challenges health systems face due to COVID-19 is the significant impact the pandemic has on revenue cycle and operations. Care access is the foundation for optimal revenue performance. Discover how this community-based health system’s access functionality and delivery model enabled its quick response to COVID-19, and how they improved revenue and satisfaction, optimized capacity and improved care access, and grew revenue by:
Increasing patient access by ensuring responsiveness to request for service, matching patients to the optimal service, provider, and location.
Identifying opportunities for improvement, resulting in resource optimization.
Driving stakeholder engagement by transforming resistant leaders into champions of change.
Laura Craft is a Vice President, Analyst in Gartner's Healthcare Industry's Research group. Her research focuses on big data, analytics and AI, population health and value-based care. Ms. Craft has more than 30 years’ experience in healthcare across data and analytics, data management and governance, as well as industry IT trends, business drivers and strategic planning. She is highly skilled in helping clients develop, plan and execute strategies that address business needs and improve information delivery, access and use.
Prior to joining Gartner, Ms. Craft worked for IBM, Yale University, Hospital of Saint Raphael and Beth Israel Medical Center, New York. She has the honor of holding a USDA patent for a reporting system to monitor hand-washing compliance in clinical care settings.
Data and analytics can be powerful weapons in confronting the disruptions and uncertainties healthcare is challenged with today. This is why data and analytics leadership is more vital than ever. This session will explore those disruptions and outline key action items for attendees to execute in order for their data and analytics program to be positioned to tackle uncertainty and manage disruption.
Vivian Anugwom is the Health Equity Manager at Allina Health. She is a trained community health educator with several years of experience in health care operations and program development. She has worked with programs that have served patients across the care continuum from diabetes prevention to end of life care. In 2016, she led the integration of LifeCourse, a late life supportive care approach, into a Federally Qualified Health Center in Minneapolis. Driven by a passion for building relationships and collaborating with others to improve community health, Vivian works to eliminate health disparities in underserved populations around the world.
With actionable data, Allina Health identified potential areas of bias and then applied the right interventions to decrease implicit biases. For example, data revealed that the African American populations receiving care at Allina Health were not enrolling in hospice programs when they were eligible because the hospitalists weren’t referring African Americans at the same rate as other populations. Vivian and her team implemented new measures including implicit bias trainings to help address and overcome these biases to ensure health equity for all.
Medical Director for Surgical and Procedural Services, Banner Health
Dr. Nirav Patel serves as the Medical Director for Surgical and Procedural Services for Banner Health—a role that encompasses oversight over Surgical and Procedural Value Alignment Program(SPVAP), Supply Chain, Peri-Operative and Trauma Services. He is also Chair of the American College of Surgeons, Arizona Committee on Trauma and President of the Arizona Chapter of the American College of Surgeons. In addition to his clinical practice as a Trauma, Acute Care, Surgical Critical Care Surgeon, he is actively involved in value-based care delivery, establishment of international trauma systems and minimally invasive surgical access in low- and middle-income countries. Dr. Patel attended University of Wisconsin College of Medicine, completed a residency in General Surgery at Gundersen Lutheran and a Trauma Surgical Critical Care fellowship at University of California–San Diego.
Surgical and Procedural Standardization Program Director, Banner Health
Martina Brooks is the Surgical and Procedural Standardization Program Director for Banner Health. She started working for Banner in 2004 and has served in numerous roles from public relations, learning, and clinical care standardization. Currently, Martina is a program director for the Surgical and Procedural Value and Alignment Program (SPVAP). SPVAP is dedicated to collaborating with physicians, surgical and procedural departments, supply chain, and executive leadership to standardize clinical care and cost for Banner Health through data review and transparency. Martina holds a BA in communication and public relations and a master’s in healthcare innovation from Arizona State University. She is also a certified six sigma black belt
(Analytics, Innovative Data and Analytics Transformation, Quality — Course Level: Beginning)
Organizations across the U.S. suspended elective surgeries to help keep resources available for patients with the COVID-19. While this was necessary, the suspension delayed care and resulted in substantial revenue loss. This presentation demonstrates how Banner Health integrated clinical, financial, and operational data to develop the organization’s elective surgery restart plan, effectively engaging patients in receiving the needed care, and restoring critical revenue streams.
Jaclyn manages the Innovations Team at Texas Children's Hospital. Under her leadership, the team develops and deploys predictive analytics solutions and does custom application development. With experience spanning the vendor, consultant, and enterprise IT spaces, Jaclyn considers herself to be an "IT generalist" whose emphasis on People, Process, Technology, and Culture enables digital transformation across contexts. She has been with TexasChildren's for six years; prior to her current role with Innovations, she worked on various strategic initiatives across the Business Intelligence, Epic, and Clinical Applications spaces. Jaclyn's hobbies include backcountry camping, scuba diving, rock climbing, and experimenting in the kitchen.
(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Beginning)
Knowing where to start and how to gain leadership support for predictive analytics are daunting tasks. One of the largest pediatric hospitals in the U.S. will describe the strategies it used for choosing its initial use cases, a use case evaluation framework, and the lessons they’ve learned in their three-year predictive analytics journey. They will help you discover how to increase the likelihood of success in analytics initiatives, including routine business requests and urgent, emerging needs like COVID-19.
Senior Vice President, Population Health Management, Health Catalyst
Amy is the Senior Vice President of Population Health Management at Health Catalyst, where she works with clients to support their transition to value-based care using a foundation of data and analytics. She concurrently serves as the Associate Medical Director of Population Health Management at Partners Healthcare in Boston, where she oversees care management and employee health. She practices as a primary care physician at the Brigham and Women’s Hospital, and is on the faculty at Harvard Medical School.Amy has a background in hospital administration at the Brigham and Women’s Hospital and co-founded a start-up in the end-of-life care space.Amy completed a medical degree from Harvard Medical School, an MBA from Harvard Business School, and trained in Internal Medicine at the Brigham and Women’s Hospital.
(Population Health, Innovative Data and Analytics Transformation — Course Level: Beginning)
During the COVID-19 outbreak, Mass General Brigham (MGB) chose a strategy of focusing many of their population health efforts on the needs of the most vulnerable communities. Access to data allowed the MGB team to identify hotspots with the highest case rates, so care teams knew where to focus their resources. Teaming up with local governments, MGB provided resources for underserved communities and proactively combatted the spread of COVID-19 by:
Creating local pop-up COVID-19 testing sites in community health centers, bodegas, etc.
Communicating educational messages or opt-in for outreach correspondence via mass texting in ten languages.
Scaling a call center to provide screening and referrals based on social determinants of health.
Assembling and mailing care kits to patients without masks.
National Director for AI, Health & Life Sciences, Microsoft
Tom Lawry serves as National Director of AI for Health & Life Sciences at Microsoft and previously served as Director of Worldwide Health. Tom works with providers, payors and life science organizations in planning & implementing innovative analytical solutions that improve the quality and efficiency of health services delivered around the globe.
Tom focuses on strategies for digital transformation applied to performance optimization including Artificial Intelligence (AI), Machine Learning (ML) and Cognitive Services. He previously served as Director of Organizational Performance for Microsoft’s health incubator (Health Solutions Group).
Prior to Microsoft Tom served as a Senior Director at GE Healthcare with global responsibilities for revenue cycle management analytics and operational performance solutions.
Lawry was founder and CEO of Verus, a healthcare software company named as one of the Top 100 Fastest Growing Washington Companies for three consecutive years and to the Deloitte Fast 500 Technologies list.
For twelve years Lawry served in various executive management roles in hospitals and integrated delivery networks. He has published numerous articles on topics relating to use technology to innovate healthcare. His new book from HIMSS & CRC Press is: Artificial Intelligence in Healthcare: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems.
Representative Keynote Conference Presentations
“AI in Health – The Future is not What I Used to be,” Arab Health CEO forum, Dubai, UAE, Feb. 2020.
“AI, Digital, and the Creative Destruction of Careers in Healthcare,” Sandra Rotman Centre for Health Sector Strategy, Toronto, Canada, May 2019
“Changing the Face of Healthcare with Artificial Intelligence,” The Intelligent Health Association’s AI in Health Conference, Las Vegas, NV, March 2018
“Empowering Healthcare with Systems of Intelligence,” HIMSS, Las Vegas, NV, March 2018
“Digital Transformation in Health – What Can Health Learn from the Private Sector?” The Nobel Forum, Stockholm, Sweden, March 2017
AI is Healthcare’s Next Big Thing,” European Health Innovation Summit, Brussels, Belgium, January 2017
“Health Policy in an Era of Big Data & Digital Transformation,” Commonwealth Fund International Symposium on Health Policy, Washington, D.C., November 2016
“The Transformative Power of Big Data in Health”, Asan International Medical Symposium, Seoul, South Korea, June 2016
“What will the Future of Technology Innovation Bring to Health?”, High Reliability Health Conference, Johns Hopkins University, Baltimore MD, February 2017
“Empowering Health – the Innovator’s Perspective”, European Health Summit, Brussels, Belgium, Jan. 2017
AI is no longer about the future. It’s about the present and what clinical and business leaders are doing today to leverage this next big shift in healthcare’s computing platform. As AI solutions become more pervasive, a host of ethical issues are coming forward. How we address them will determine whether AI will be a force for good for some—or all—health consumers.
In this session, Tom Lawry, author of the book, “Artificial Intelligence in Healthcare: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems,” will define key ethical issues for use of AI in health, during a pandemic, and provide recommendations for creating a framework to guide its use in keeping with an organization’s mission and values.
Sy came to Reno from PeaceHealth in Vancouver, Wash. where he served as Chief Executive Officer for the Columbia Network.
In his role at Renown Health, Sy oversees Renown’s hospital, employed physician and other healthcare services operations as well as Renown’s owned health plan and other key administrative functions.
A national award-winning senior executive with over 20 years of healthcare experience, Sy has a solid background in strategic, operational and financial business planning; physician relationships and clinical integration; as well as a keen focus on quality and patient service enhancement.
(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI, Population Health, Quality — Course Level: Beginning)
COVID-19 illuminated the criticality of rapid access to integrated data and analytics. In this session, Renown Health will share how it is quickly delivering data to the Command Center and frontline team members to respond to the COVID-19 pandemic, ensuring its most vulnerable patients receive care and ensuring the safety of all its patients and team members. Learn how Renown Health is using rapid response analytics solutions and predictive analytics to create a new future where organizational leaders, physicians, and frontline teams leverage analytic insights to identify business opportunities, implement solutions, and deliver value to its organization.
Jason Jones is passionate about achieving the Quadruple Aim through better and easier use of data in healthcare, including helping organizations to find analytic focus; helping providers feel that the systems they work for have their backs, and helping people to understand and have their goals and preferences respected for the hopefully brief periods during which they are “patients.”
Previously, Jones served as Vice President, Information Support for Care Transformation, at Kaiser Permanente (KP). In that capacity, he brought together and co-led the national Hospital and Healthplan Quality and Finance analytic functions and led development of national quality strategy and care delivery IT investments. Prior to that, he was KP’s Executive Director of Clinical Intelligence and Decision Support and a Research Scientist in KP’s Southern California region.
Before joining KP, Jones was a Senior Medical Informaticist for Intermountain Healthcare. He also held analytic and marketing positions at Bayer Healthcare in Wayne, N.J., and Ingenix (now Optum) Pharmaceutical Information Products in Salt Lake City, where he developed a model for converting United Healthcare data into a saleable asset for external customers conducting outcomes research.
Throughout his career, Jones has taught graduate courses in statistics to medical informaticists at the University of Southern California and at the University of Utah. He has published dozens of peer-reviewed papers in medicine, predictive modeling, and outcomes improvement.
Senior Vice President, Strategic Consulting Operations, Health Catalyst
John Hansmann, MSIE, FHIMSS, DSHS is a Senior Vice President Strategic Consulting Operations. He has over 30 years of healthcare experience in operations consulting, productivity management, strategic and IT analyses. At Health Catalyst, he is responsible for the development and implementation of operational consulting applications and services focusing on labor management, supply chain and patient flow/throughput. Prior to joining Health Catalyst, Mr. Hansmann was responsible for the labor management program at Tenet Healthcare, a 77 hospital for-profit healthcare system. Before Tenet, Mr. Hansmann was responsible for the operations improvement and labor management program’s for Intermountain Healthcare’s Urban South Region in support of the productivity, budgeting and costing initiatives. He has experience with hospital and physician practice acquisitions, and physician practice operations analysis. He is a past Board member for HIMSS and past President for SHS. Mr. Hansmann currently is a member of the Advisory Board for the school of Industrial & Manufacturing Engineering at North Dakota State University, He received his BSIE and MSIE from NDSU.
(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Intermediate)
The COVID-19 pandemic demonstrated how quickly the healthcare industry can move when it needs to and has aligned leadership. One area where leaders and organizations have made rapid progress is capacity planning—including beds, mechanical ventilators, personal protective equipment, and staffing—even across traditional organizational boundaries. During this session, you will discover:
How to identify different types of decision windows.
Review leadership tools for forecasting and alerting in the context of what we’ve learned so far.
Evaluate tool options for short term outlier detection.
Applications of what we may encounter this Fall, Winter, and beyond.
Imran is the Chief Data Science Officer at Clarify Health where he oversees the data acquisition, data engineering and data science teams. Previously Imran was the Chief Software Development Officer at Health Catalyst where he was responsible for the software development in the company including leading the engineering team building the Data Operating System (DOS). Before Health Catalyst, he was the Chief Technology Officer at Acupera where he led the team that built the care management platform that was successfully implemented in Ascension, Montefiore, Kaiser, and other health systems. Prior to that, Imran was VP of Engineering at CareAnyware, where he led development of the largest cloud-based EHR for Home Health and Hospice. He also spent 12 years at Microsoft, including building the slideshow part of PowerPoint and building the email experience for Hotmail. He holds several patents and has a Computer Science degree from Stanford University. Imran lives in the San Francisco Bay Area with his wife, Elsie, and 13-year-old twins, Zane and Malaya. He has only recently gotten comfortable with being the least smart person in the family.
(Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Advanced)
Machine learning is based on learning from past data and using that to predict the future. This assumes that the future looks like the past. However, this is no longer the case. There is now a longer-term problem for care disruption due to COVID-19—appointments have been missed or switched to televisits, lab tests have been delayed, and prescriptions have not been filled. How can data science help address this looming issue? This session shares lessons learned and shows how to recognize measure care disruption, predict which patients are at most risk, identify what kind of interventions are appropriate for patients, and how to use data science techniques to help manage the unpredictability of the new normal.
Senior Vice President, Client Engagement, Health Catalyst
John holds a BS in human genetics along with MS of Biomedical Informatics from the University of Utah school of medicine. For over 20 years, he has helped health systems turn their data into an actionable asset. Additionally, he has worked with dozens of analytic teams and hundreds of analysts to increase their utility to improve patient outcomes. John has designed hiring practices and career development tracks for analysts, data architects/engineers, and data scientists within Health Catalyst and many care delivery organizations. John consistently consults with chief officers of health institutions and payers to help them create a thriving analytic ecosystem.
(Analytics Best Practices — Course Level: Intermediate)
You have a lot of choices when you eat out—from fast food that gives you a quick meal with minimal nourishment to a high-class buffet like the Bellagio in Las Vegas, which gives you choices, great flavor, and nutrition—everything you need to feel completely satisfied. Like the buffet at the Bellagio, analytics teams nourish health systems by combining the right ingredients of technology and care delivery expertise.
In this session, we will share how the best health systems leverage analytics in support of COVID recovery. We’ll provide a rubric to assess analytics for your health system and tips to become an analytically mature organization.
This session provides tips to mature your analytics:
Find real opportunities.
Quantify them and the resource lift to capture them.
Prioritize by aligning with key strategies for the organization, department, and team.
Elevate data analytics understanding throughout the organization through training.
Hyagriv Simhan, MD, MS -
Director of Clinical Innovation for the Women’s Health Service Line, Executive Vice Chair for Obstetrical Services at Magee-Women's Hospital, UPMC
Director of Clinical Innovation for the Women’s Health Service Line, Executive Vice Chair for Obstetrical Services at Magee-Women's Hospital, UPMC
Hyagriv Simhan, MD, MS is Professor of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, at the University of Pittsburgh School of Medicine, Executive Vice Chair for Obstetrical Services at Magee-Women's Hospital at the University of Pittsburgh Medical Center (UPMC), and Director of Clinical Innovation for the Women’s Health Service Line. Dr. Simhan completed his undergraduate studies and medical school at Boston University. Following the completion of internship and residency in Obstetrics & Gynecology at the University of Pennsylvania, Dr. Simhan completed fellowship training in Maternal-Fetal Medicine and Reproductive Infectious Diseases and Immunology at the University of Pittsburgh. He also received a Master of Science in Clinical Research from the University of Pittsburgh. Dr. Simhan leads the Hatch team in the Women’s Health Service Line at UPMC. Hatch is designed to champion clinical innovation in technology, operations, and payment strategies to advance health across the continuum of care, including outpatient, inpatient, and in the community. Hatch aims to accelerate advances in virtual care, population health, and patient engagement by coordinating, integrating, and effectively advancing progress in these domains using the full capacity of UPMC
Beth Quinn, MSN, RNC-MNN is the Director, Women’s Health Operations working in a dual role between UPMC Magee-Women's Hospital and the UPMC Health Plan. Beth has been a nurse at UPMC for over20 years working in Women’s Health. Beth acts as a change agent to design, facilitate, monitor, evaluate, and sustain program improvement initiatives across the UPMC Women’s Health service line. In her dual role, she is to develop new and unique methods to improve operations of the organization and to create new opportunities to enhance the payer-provider relationships. Beth is also responsible for setting goals and new initiatives according to the strategic objectives of both organizations to improve patient engagement and outcomes.
(Innovative Data and Analytics Transformation, Population Health, Quality — Course Level: Beginning)
UPMC will share how it is using remote monitoring and telehealth, especially important during the pandemic, to improve the management of hypertensive disorder in the postpartum period. Hypertensive disorders during pregnancy complicate 10-15% of pregnancies in the U.S. Hypertension is the leading cause of postpartum hospital readmissions, and among the most important contributors to prematurity and serious maternal morbidity and mortality. They are enabling ongoing connections to the healthcare team for 42 days after hospital discharge from delivery, improving maternal outcomes.
Serving as Acuitas Health’s Senior Leader providing leadership and subject matter expertise in value-based health care. Building an agile and responsive organization focused on customer outcomes, and supporting customers through the market transition from fee-for-service to value-based health care. Overseeing the organization's core functions including, but not limited to Outcomes Engineering, Practice Intelligence, Data Architecture/Data Science, Project and Product Management, and Care Management. Keegan also founded a successful strategy and technology consultancy, Navaste Health (navastehealth.com). Beyond passion for transforming the health care landscape, Keegan is also passionate about food in community giving, and in business. Keegan supports the Regional Food Bank for Northeastern New York, and founded a food business, Send Me Waffles (sendmewaffles.com).
Leader and Architect, Data Science and Engineering, Acuitas Health
Andy Choens is a data scientist at Acuitas in Troy, NY. He earned his B.S. from the Georgia Institute of Technology in Atlanta, GA and his MSW from SUNY Albany in Albany, NY. Andy then worked as a program evaluator for Hornby Zeller Associates for seven years working primarily in child welfare, juvenile justice, and elder care. Andy then spent two years at the New York State Department of Health where he led the internal evaluation of the New York State Health Homes initiative. At Acuitas, Andy is responsible for data architecture, reporting, evaluation, and office birthdays. In addition to enjoying books on Bayesian statistics, Andy enjoys mountain biking, downhill skiing, and rock climbing.
(Innovative Data and Analytics Transformation, Population Health, Quality — Course Level: Beginning)
Medical practices are critical to fighting COVID-19, and they are on the frontlines of the ongoing shift toward value-based care. Value is the currency that increasingly matters to health care, and becomes even more critical for survival in the more competitive New Normal. Learn how advanced analytics—and integrating analysts as part of a team that uses actionable data—are creating positive health outcomes at low cost for independent medical practices and, ultimately, patients, in these areas:
COVID-19 response and tracking.
The ABCs of measures: Shared Savings, CDPHP Enhanced Primary Care Initiative (EPC), PQRS, CPCI, MSSP, MACRA, and more.
Jason Jones is passionate about achieving the Quadruple Aim through better and easier use of data in healthcare, including helping organizations to find analytic focus; helping providers feel that the systems they work for have their backs, and helping people to understand and have their goals and preferences respected for the hopefully brief periods during which they are “patients.”
Previously, Jones served as Vice President, Information Support for Care Transformation, at Kaiser Permanente (KP). In that capacity, he brought together and co-led the national Hospital and Healthplan Quality and Finance analytic functions and led development of national quality strategy and care delivery IT investments. Prior to that, he was KP’s Executive Director of Clinical Intelligence and Decision Support and a Research Scientist in KP’s Southern California region.
Before joining KP, Jones was a Senior Medical Informaticist for Intermountain Healthcare. He also held analytic and marketing positions at Bayer Healthcare in Wayne, N.J., and Ingenix (now Optum) Pharmaceutical Information Products in Salt Lake City, where he developed a model for converting United Healthcare data into a saleable asset for external customers conducting outcomes research.
Throughout his career, Jones has taught graduate courses in statistics to medical informaticists at the University of Southern California and at the University of Utah. He has published dozens of peer-reviewed papers in medicine, predictive modeling, and outcomes improvement.
(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Intermediate)
COVID-19 compelled organizations to quickly advance the use of data science, swiftly embracing predictive models to improve the effectiveness of their response plans. Analytics maturity models are widely used to illustrate the stages a company travels through to reach the next level of analytics maturity. Some critics believe the linear nature of the analytics maturity models may inadvertently limit the effectiveness of data science. In this presentation, Jason Jones, Chief Data Scientist at Health Catalyst, will discuss the Data Science Adoption Model and will share how the model can be used to help data science practitioners and leaders direct investments and deliver real value.
Gabriel Brat, MD, MPH -
Assistant Professor of Surgery, Beth Israel Deaconess Medical Center, and Instructor in Biomedical Informatics, Harvard Medical School
Assistant Professor of Surgery, Beth Israel Deaconess Medical Center, and Instructor in Biomedical Informatics, Harvard Medical School
Gabrial Brat is a trauma surgeon and assistant professor of surgery at Beth Israel Deaconess Medical Center and an instructor in biomedical informatics at Harvard Medical School. As the director of the Surgical Informatics Lab, Dr. Brat has a broad research focus on informatics tools to improve surgical outcomes. His interests include clinical decision support to optimize surgical opioid prescribing as well as leveraging large-scale database and machine learning models to inform surgical planning and improve outcomes. As the co-founder of a successful venture-backed machine learning and computer vision company, he now teaches health IT innovation courses at the medical school and mentors several digital health startups. Gabriel has an undergraduate degree in bioengineering and a graduate degree in public health and biostatistics from the London School of Hygiene and Tropical Medicine. He completed his medical training at Stanford University and his surgical residency at Johns Hopkins Hospital.
General Manager & Senior Vice President, Life Sciences Business, Health Catalyst
Sadiqa Mahmood, DDS, MPH is the Senior Vice President and General Manager of the Life Sciences business at Health Catalyst and contributes to the overall vision and growth for the company. Sadiqa’s work focuses on identifying and addressing areas of high unmet need for therapeutic development through application of real-world data. She is an advisor to several healthcare organizations and global policy makers. Sadiqa is a dental surgeon and holds a master’s degree in public health from the Harvard School of Public Health.
Passionate about improving access to care and patient outcomes by leveraging data and healthcare ecosystem, Sadiqa has spent her career at the intersection of medicine, policy, technology, and analytics. Previously she led clinical analytics, quality and safety, value-based contracting, and population health across healthcare organizations, including the Dana-Farber Cancer Institute, Partners HealthCare System, and Boston Medical Center. Sadiqa has been an advocate of collaborative learning system in healthcare and has steered cross-industry multi-stakeholder national and global collaborations to drive healthcare innovation.
She joined Health Catalyst in 2019 as SVP of Medical Affairs. Sadiqa has lived and worked in Asia and UK in addition to the US. She is based in Boston, Massachusetts. Outside of work, she is a Formula 1 fan and races as a member of a local team.
(Analytics Best Practices, Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Intermediate)
As COVID-19 makes timely access to comprehensive, accurate patient data increasingly urgent, healthcare organizations, pharma, and public health agencies are struggling to procure needed clinical information. An answer to this data challenge is a national data set that leverages deep, aggregated electronic health record data from patients across the United States, including patient history, comorbidities, vitals, treatment pathways, labs, and more. A proliferation of local standards and a lack of a standard COVID-19 definition has generated problems at the national level, driving the need for a standard COVID-19 patient type definition and registry. Only with this comprehensive, transparent view of patient health and the public health trends can providers, researchers, and policy makers make lasting, impactful progress against the outbreak. Discover how, with aggregated outbreak information from health systems across the United States, a standard COVID-19 definition and registry can accommodate the rapidly changing disease landscape and fill in critical gaps in clinical understanding.
Executive Vice President, Chief Analytics Officer, Community Health Network
Dr. Patrick McGill serves as the Executive Vice President, Chief Analytics Officer for Community Health Network. In addition to serving on the Network Executive Leadership Team, he leads the Office of Network Analytics, Information Technology, Performance Improvement and Informatics. Most recently, he served as the Senior Vice President for Clinical Strategy, overseeing programs to reduce clinical variation, strategies for growth, and the transition towards value-based base. Prior, he served as the Vice President of Clinical Transformation. Additionally, Dr. McGill has special interests in clinical data and analytics, patient safety, population health, office workflow efficiency, and waste reduction. Dr. McGill is a certified Green belt in Lean/Six Sigma.
Born and raised outside of Atlanta, GA, Dr. McGill attended the University of Georgia in Athens, GA graduating Magna Cum Laude with a Bachelor of Science in Chemistry. He received his medical degree from the Medical College of Georgia in Augusta, GA and completed his residency at Ball Memorial Hospital in Muncie, IN. Prior to joining Community Physician Network in 2010, he practiced Family Medicine in Pendleton, IN. He is board certified in Family Medicine and continues to see patients at South Indy Family Practice.
(Innovative Data and Analytics Transformation, Population Health, Revenue — Course Level: Intermediate)
In the wake of COVID-19, ambulatory, non-emergent care converted overwhelmingly to virtual delivery (telehealth). The rapid transition created gaps in understanding of visit volume and outcomes due to a lack of analytics on virtual care. To bridge these gaps, Community Health Network (CHNw) developed an analytics suite to monitor its shift to more than 87 percent virtual visit delivery. Challenges the health system encountered included accounting for multiple visit virtual care types, accommodating different delivery platforms for video visits, and complying with rapidly changing reimbursement rules for telehealth. Join Patrick McGill, MD, Executive Vice President and Chief Analytics Officer for CHNw, to learn how ambulatory providers, managers, and administration can develop, track, and measure virtual care with an analytics platform.
Vice President, Chief Data and Analytics Officer, Northwell Health
Chris is a senior health care leader with over 20 years of experience developing analytic teams, establishing data governance, data warehousing and business intelligence implementation, delivering solutions focused on patient experience, outcomes, cost, population health, quality, regulatory and risk based arrangements, revenue cycle, health system operations.He has extensive experience with organizational transformation and specializes in integrating analytic, IT and Informatics teams across organizational lines to improve solution delivery and enabling data driven insight.
(Analytics Best Practices, Innovative Data and Analytics Transformation, Life Science, Population Health — Course Level: Intermediate)
Responding to the COVID-19 pandemic materially amplified Northwell Health’s necessary speed from question to answer. At the peak of the pandemic, Northwell, the hardest hit healthcare system in the United States—had to face an evolving cohort definition for COVID-19, an additional 200 beds daily, and new healthcare professionals from across the country. Navigating this crisis required careful planning, communication, coordination, and research. This required unprecedented collaboration, an extensive patient registry, access to key datasets, geocoding, and serology testing. Learn about the data-driven response Northwell Health implemented from day one of the pandemic, the successes and lessons learned, and how technology and analytics can be used for future infection tracking and patient care.
Healthcare Data Scientist, Analytics, Albany Medical Center
Michael Houck is a Healthcare Data Scientist at Albany Medical Center which is northeastern New York’s only academic health sciences center. Michael is responsible for the design, development, and deployment of analytics and business intelligence capabilities that enable clinical and administrative leadership to make data-informed decisions in support of Albany Medical Center’s mission-oriented activities. His expertise and demeanor allow Michael to collaborate and consensus-build across the workforce with the same poise whether with the front-line caregivers or members of the C-suite. Prior to joining Albany Med, Michael served as a BI Analyst with IBM. He is dedicated to continuous process improvement through reducing inefficiencies, automating processes, and rapidly delivering innovative solutions. He has over fifteen years’ experience delivering elegant data solutions following a data science framework of business understanding, data understanding, statistical analysis, and data storytelling. Michael earned a bachelor’s and master’s degrees in computer science from Tufts University.
(Analytics Best Practices, Innovative Data and Analytics Transformation — Course Level: Advanced)
Responding to the COVID-19 pandemic materially amplified our necessary speed from question to answer and from problem to solution. The dynamic needs of leadership across the academic medical center are now met by enhancing the existing analytics platform with near-real-time data flows and dashboards. This session will describe the processes and lessons-learned of rapidly deploying an end-to-end analytics solution to deliver data for predictions, lab testing, contact tracing, employee health, and “live” situational awareness for the COVID-19 Incident Command.
Tyler Gauthier, MHA currently serves as the Director of Value-Based Care for OneCare Vermont and has been with OneCare for nearly three years. In this role, he provides leadership and strategic direction to the Quality, Innovation, and Analytics team as well as a range of healthcare reform and population health programs across the state. Prior to joining OneCare in 2017, Tyler managed primary care clinics at the University of Vermont Medical Center, where he was responsible for the day to day operations, financial performance, and effective Population Health management. His work included expanding Primary Care access for patients and increasing available services.
Tyler is a Navy veteran with a list of Achievement & Commendation medals from both the Navy and the Army, from his 11+ years of military service and participation in Operation Iraqi Freedom. After discharging from the Navy in 2011 Gauthier began leading technical teams in the healthcare information technology space to improve care and outcomes for patients. Gauthier earned his Master’s Degree in Healthcare Administration from Champlain College and is a Certified Professional in Healthcare Quality (CPHQ) as well as Certified Scrum Master (CSM).
Supervisor of Population Health Analytics, OneCare Vermont
Katelyn Muir (Katie) is the Supervisor of Population Health Analytics, managing the Information and Population Health Analysts. She and her team build tools and reports on cost and utilization metrics, quality measure and quality improvement as well as care coordination data. She started with OneCare in 2016. Katie’s background is in Public Health. She earned her MPH from NYU with a focus in international and community health. Prior to working at OneCare Katie worked for a consulting firm managing public health research projects. Katie is a Certified Professional in Healthcare Quality (CPHQ) and a Certified Scrum Master (CSM).
(Innovative Data and Analytics Transformation, Population Health, Cost — Course Level: Intermediate)
Healthcare organizations have struggled to balance the financial focus of value-based care with the patient focus of clinical care, while also striving to improve performance. This presentation shows how one healthcare network:
Uses data and analytics to prioritize outreach in their statewide, community-based complex care coordination program.
Tracks and trends patients and population risk over time.
Risk stratifies to identify rising-risk patients.
Effectively predicts cost and utilization—guiding future program development and focusing on prevention and wellness.
This presentation also includes details on how the healthcare system leveraged data and tools to respond to the COVID-19 outbreak and provides data insights about this high-risk population based on clinical criteria.
This is the best conference I’ve ever been to in all my years in healthcare…and that’s over 20 years.
I can’t imagine a better summit. My brain is buzzing with all these new tools, resources, case studies, and innovative ideas and software. I’ll be back next year, and if next year is as good as this year, you’ll definitely have made a follower for life out of me.
This is by far the best conference I have attended. It was well planned and coordinated. Great job to the team for putting this amazing event together.
Same place, same time next year!! The best conference I’ve attended, fabulous job!
It definitely exceeded my expectations. A lot of conferences I go to, you take a lot information but it doesn’t have a practical application. This is completely different because I feel like I have a lot of information I’m excited about and can apply to my situation.
We talk about value-based care…this is a value-based conference. Considering what other conferences costs, the value I get out of this is tremendous.
Thank You for a Great Virtual Summit! See You Next Year for HAS 21.
Unfortunately your web browser is out of date. For improved security, speed and the best experience please consider using the latest version of on the following browsers: Google Chrome, Firefox, Edge, Safari, or Opera.
This site uses cookies
We take pride in providing you with relevant, useful content. May we use cookies to track what you read? We take your privacy very seriously. Please see our privacy policy for details and any questions.
