IT Roundtable 2018
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IT Roundtable 2018: October 18-19, 2018

Hyatt Regency Bethesda
1 Bethesda Metro Center
Bethesda, MD 20814
Phone: (301) 657-1234

Agenda

Thursday, October 18th 

5pm: Networking Reception 

6pm: Dinner 

7pm: Keynote Presentation: Michael Howell, MD, MPH, Chief Clinical Strategist, Google Health 

"If I were a (research) leader in healthcare, what would I want to know about artificial intelligence?"

Michael HowellDr. Howell's talk will focus on machine learning and artificial intelligence from the perspective his own career path (clinical research, quality improvement, and health systems leadership) and will also share some of the research that Google Research and Google AI have been doing in healthcare. 

Dr. Howell is a healthcare delivery scientist with a particular focus on patient safety, quality of care, and healthcare operations.  A pulmonary/critical care physician, he was previously Chief Quality Officer at the University of Chicago Medicine, where he also directed the Center for Healthcare Delivery Science and Innovation. He has served on national advisory panels for the CDC, Medicare, and others, and on the National Academy of Medicine’s AI and Machine Learning in Healthcare Working Group. His more than 100 research articles, editorials, and book chapters have been cited more than 5,000 times and incorporated into national guidelines. These studies have also held an interest for the public and have been covered by the New York Times, Wall Street Journal, Forbes, CNN, and Consumer Reports.

Friday, October 19th 

7am - 8:30am: Registration/Networking Breakfast 

8:30am - 3pm: Panel Sessions and Discussion 

Special Presentation:

Overview of the NIH Strategic Plan for Data Science

Jon R. Lorsch, PhD, Director, National Institute of General Medical Sciences (NIGMS)

Recognizing that storing, managing, standardizing and publishing the vast amounts of data produced by biomedical research is a critical mission for NIH, the agency published its first Strategic Plan for Data Science in June 2018. Director Lorsch will provide an overview of the agency's efforts and next steps. 

Panel sessions:

 Expansive Use of Data Repositories for Research

Research using Healthcare Data is critical to thousands of high profile projects including NIH’s All of Us, PCORI’s PCORNet, and NIH’s Accrual for Clinical Trials. The support of these repositories has become a significant budgetary item for academic medical centers across the country and providing a way to manage these repositories so that they can demonstrate value and operate efficiently is critical.  This panel will lead a discussion of innovative ways to provide and manage value. 

Governance and the Role of the CRIO

In academic medical centers, Chief Research Informatics Officers (CRIOs) increasingly lead efforts to support scientists with electronic patient data.  Success of these initiatives requires effective governance of data and research IT.  In this panel, CRIOs will share the critical issues they face, the organizational structures of their institutions, and the continued evolution of their roles.

Clinical Trials Management Systems: Making the Most of It

A diverse set of functionality can be lumped under the monolithic “Clinical Trial Management System (CTMS)” function. Furthermore, the relative value derived depends on the context in which the “CTMS” system is used; for example, the difference between in-clinic usage (e.g. to monitor SAEs) and the administrative and regulatory drivers for adoption of such tools. The aim of the panel is to explore and identify with appropriate granularity the specific clinical trial support functions. The panelists will share the heterogeneous experiences from their institutions and the relative success of corresponding information systems along these functions.

Monetizing Information in Electronic Health Records: Balancing Viewpoints from Industry and Academia

Academic Medical Center leaders are seeing an ever-increasing number of opportunities to partner with outside organizations by leveraging clinical data assets to extract additional usable information from existing data sources with ultimate goals of promoting scientific discovery, optimizing service lines needed to support clinical and translational research, and creating new informatics-based methods designed to improve clinical care.

While there are a number of emerging models, common themes include: 1) study-level initiatives – e.g. single investigator wishing to partner with a single sponsor by installing an extraction appliance; and 2) institution-level initiatives – e.g. bartered access to gain access to new tools or development funds in exchange for limited data sharing across a commercial- or grant-funded network.  This panel will include perspectives and lessons learned from two experts representing academic leadership and commercial partners.

Panelists: 
Albert M. Lai, PhD, is the Deputy Director for the Institute for Informatics, the Chief Research Information Officer for the School of Medicine, and an Associate Professor of General Medical Sciences at Washington University School of Medicine in St. Louis. Dr. Lai specializes in the development of research informatics infrastructure and is well recognized in the fields of clinical research informatics and consumer health informatics. His recent research has focused on the application of natural language processing, temporal reasoning and information fusion to generate a longitudinal computable phenotype to support clinical trial prescreening. His research portfolio has been supported by a combination of NCATS, NLM, NCI, AHRQ and PCORI grants and contracts.

Jud Schneider, PhD, is Vice President of Data Science at Nashville Biosciences, a big data and genomics company supporting partners in the biopharmaceutical, diagnostics, and AI industries. He has a background in big data product development/design, machine learning, genetics and entrepreneurship. He recently came from Concert Genetics/NextGxDx where he ran the Bioinformatics department and product R&D for 6 years.  An expert in data product design and development, the products he developed are used by a variety stakeholders in life science and healthcare industries including top 5 health plans, major hospital systems, and leading diagnostic testing laboratories.  

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Registration 

Registration is open. The cost is $375 for CR Forum members. 

Non-members should contact the CR Forum regarding membership, and to find out about non-member registration. 

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Hotel Information

The Clinical Research Forum has arranged for a discounted room block at the Hyatt Regency. The cost is $239 excluding tax and service fees. Rooms are limited. Follow this link to make your room reservation.