• 2016 Joint Summits

    Informatics Implementation Track

    Apple ResearchKit | CDISC | CTSA | CTSI | EMERGe | FHIR | HealthLink  | HL7 | i2b2 | LOINC | MD2K/OpenMhealth | Mole Mapper | MyHeart Counts | OCHIN | PCORI-CDM | PCORNet | PRIDE Research | PROMIS | REDCap | SMART

2016 Joint Summits Informatics Implementation Track Sessions

Attendees are free to attend any session in the Joint Summits Itinerary. This information is posted to highlight specific content in Informatics Implementation Track. 

Monday, March 21

10:30 a.m. – 12:00 p.m.

Session II01 – Scaling up Data and Technology (Why and How this Matters)

Abel Kho, Associate Professor, and Director, Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University, Chicago IL.
Zach Landis-Lewis, Assistant Professor, Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI.
Tamara Box, Data Scientist and Health Informaticist, US Department of Veterans Affairs, Veterans Health Administration, Office of Analytics and Business Intelligence, Denver, CO
J. Michael Gaziano, Principal Investigator, Million Veteran Program, VA Boston Healthcare System, Chief, Division of Aging, Brigham and Women’s Hospital, Professor of Medicine, Harvard Medical School.

Early development of informatics tools and information systems necessarily may be focused on building and fine tuning functionality, feasibility testing, and usability evaluation in limited settings.  Implementation may be restricted to users and sites that are highly invested. As interest and scope expands, implementation requirements may also evolve with expanded volume of users, multiplicity of user expectations, greater heterogeneity of sites, new challenges with interoperability, and increased compliance requirements.  Intellectual property and warranty issues may also differ with project expansions.  This panel will focus on examples of shifting from a small scale implementation of informatics to a larger scale and scope.  Panelists will describe both organizational and technical aspects they encountered in the shift from a smaller scale development phase to a larger scale implementation.  Two examples from clinical settings focused on implementation of electronic medical records enhancements and care management and workflow tools, and two examples from research network implementation of tools for disambiguation and expanded data for precision medicine will be highlighted.

1:30 p.m. – 3:00 p.m.

Session II02– Panel:  How do I Become an Operational Leader?  (How do I Become)

Peter J. Embi, Associate Professor, Chief Research Information Officer, and Associate Dean for Research Informatics, The Ohio State University, Columbus, OH
Gail Graham, Assistant Deputy Undersecretary for Health for Informatics and Analytics, US Department of Veterans Affairs, Veterans Health Administration, Washington, DC
Rosemary Kennedy, Vice President and Chief Nursing Officer, Sotera Wireless, Inc.
Leslie Lenert, Professor and Chief Research Information Officer, Medical University of South Carolina, Charleston, SC

As our field of medical informatics grows and evolves, with expanded educational opportunities, and new roles, best routes for career advancement may be difficult to discern.  From Chief Information Officers, Chief Medical Information Officers, Chief Nursing Information officers, Chief Health Information Officer, Chief Research Information Officers, Informatics Directors, Technology Officers, there are many paths and opportunities for operational leadership.  Join us for this panel in a first ever candid discussion with operational leaders about how to become an informatics leader.  In a moderated discussion, four accomplished operational leaders from government, private sector and academia will share experiences about specific events and capabilities that can propel a career, skill sets that are most useful for specific positions, and the role of mentors in supporting career development.

3:30 p.m. – 5:00 p.m.

Session II03 – Efficiently and Sustainably Delivering Integrated Research Registries in Academic Health Centers: Experiences from the Trenches (Direct Learning)

Leon Rozenblit, Prometheus Research, LLC, New Haven, CT
Peter J. Embi, Associate Professor, Chief Research Information Officer, and Associate Dean for Research Informatics, The Ohio State University, Columbus, OH
Rony Jose, Program Administrator, The University of Tennessee Health Science Center, Memphis, TN
Monika Ahuja, Weill Cornell Medical College, New York, NY
Thomas R. Campion, Jr., Weill Cornell Medical College, New York, NY

Integrated research registries are a rapidly growing class of clinical research informatics systems that support investigators by bringing together data collected primarily for research purposes with clinical data and other institutional data. Unfortunately, many existing tools and approaches for delivering research registries are inadequate because they are either very expensive or unacceptably ad hoc.  Research activities undertaken inside academic medical centers place considerable demands on informaticists supporting those efforts. On the one hand, there is tremendous demand for registries and data repositories that support research activities. On the other hand, priority, support and budgets for creating such systems are small to nonexistent, limiting their supply. In the background, institutional IT is desperate to control access to PHI and to avoid a proliferation of ill-designed, hard-to-maintain ad hoc solutions.

This panel will discuss various approaches for closing the gap between the demand and the supply for integrated research registries by focusing on highly efficient strategies for delivery. Panelists will describe both organizational and technical strategies for reducing the cost of delivery to a number that a typical research department can afford. Our ultimate goal is to establish a common approach to meeting the growing need for integrated research registries.

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Tuesday, March 22

8:30 a.m. – 10:00 a.m.

Session II04 – Invited Presentation followed by Informatics Implementation Track Networking Exercise (Why and How this Matters/Interactive Learning)

Clement McDonald, Director, List Hill National Center for Biomedical Communications, National Library of Medicine
Bernie LaSalle, Director of Operations Biomedical Informatics Core, Center for Clinical and Translational Science, University of Utah

Invited presentation followed by Informatics Implementation Track networking exercise.

Speed Networking Exercise: The final 30 minutes of the session will feature a content-focused speed networking exercise moderated by Program Committee member Bernie LaSalle designed to foster connections between learners from different operational settings.   Bernie is a clinical instructor in the Department of Biomedical Informatics with a focus on research data management, terminology and data integration. His areas of expertise include the following: clinical research data management, database design, clinical trials, data ethics, and biospecimen management.

10:30 a.m. – 12:00 p.m.

Session II05 –Implementing Data Standards (Direct Learning)

Nigam H Shah, Associate Professor, Biomedical Informatics Research, Stanford University and Member of the Stanford Cancer Institute
Meredith Nahm Zozus, Associate Director for Clinical Research Informatics, Duke University

Academic health centers, pharmaceutical and device vendors, clinical care providers and others have spent considerable resources during the last several years responding to national initiatives (Meaningful Use, Accrual for Clinical Trials, Precision Medicine) the popular trend of leveraging Big Data. While there is no shortage of data sources and data standards, there continues to be a need for evidence of practical implementation and sharing of successful strategies and the outcomes of those that were not as successful. This session will include an example of using a variety of data standards for the ultimate goal of (machine) learning from electronic medical data and an example of an implementation of an early version of the CDISC STDM data model in the clinical trials and the use of a common data model for a large pragmatic trial. We will review the entire spectrum of medical data and the applicable standards using specific use cases. 

1:30 p.m. – 3:00 p.m.

Session II06 – Secondary Use of Data for Research (Interactive Learning)

Jessica Tenenbaum, Associate Director Bioinformatics, Translational Medicine Institute, Duke University
Ramkiran Gouripeddi, Chief Biomedical Informaticist, Biomedical Informatics Core, Center for Clinical and Translational Science, University of Utah
Shyam Visweswaran, Associate Professor, University of Pittsburgh

Modern healthcare transformation depends on having access to and understanding a composite ‘data picture’ of the person, cohort or population environment that is being treated.  This understanding includes the sharing, aggregation of many data sources and the ability to reuse these data. This session will present three use cases: 1) electronic health records (EHR); 2) metabolomic and 3) environmental (exposome) as examples of secondary data use. The interactive learning session will feature “show-and-tell” style examples of best practices in the use of secondary data for research purposes from three of the leading informatics institutions in the United States.  An emphasis will be placed on providing solutions that are generalizable across research settings.

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Wednesday, March 23

8:30 a.m. – 10:00 a.m.

Session II07 - Leveraging Participant-Generated and Environmental Data (Why and How this Matters)

Richard Gershon, Professor, Northwestern University, Patient Reported Outcomes Data and PROMIS
Jon Puro, Research Informatics Scientist, OCHIN, Community Vital Signs Data
Simona Carini, Programmer, Professor of Medicine, University of California San Francisco Medical Center, MD2K/OpenMhealth--Sensor and Mobile Data in the Research Dataset

Classic clinical and translational research utilizes data collected in typically highly controlled research settings often embedded in academic medical centers. These settings produce high-quality research datasets of limited scope designed to answer specific research questions.  However, these settings and the datasets they produce often only capture a thin cross-section of a research participant.  New technologies and approaches are creating opportunities to efficiently collect and integrate non-traditional data into the research dataset enabling a much more precise characterization of a participant in the broader context of their lives.  In this moderated panel, we will hear from three experts with deep knowledge in patient reported outcomes data, social determinants of health data, and mobile and sensor health data. 

10:30 a.m. – 12:00 p.m.

Session II08 – Innovative Informatics Approaches To Assist with Recruitment and Retention (Interactive Learning)

Peter J. Embi, Associate Professor and Vice Chair, Department Biomedical Informatics, The Ohio State University, Clinical Research Recruitment through Clinical Trials Alerts
Robert Schuff, Instructor, Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Recruitment through Patient Portals
Ning "Sunny" Shang, Postdoctoral Research Scientist, Columbia University, The applicability of phenotyping algorithms for clinical trial recruitment

The lack of successful recruitment into clinical trials is a well known major obstacle to the advancement of clinical research.  The widespread implementation of electronic health records, patient portals, and mobile technologies has created new opportunities to go beyond the classic approaches to recruitment.  In this moderated panel, we’ll introduce and explore the implementation issues surrounding three complementary approaches to EHR-based recruitment.

1:30 p.m. – 3:00 p.m.

Session II09 – I2b2: Challenges and Solutions to integrate FHIR and PCORI CDM (Direct Learning)

Kavishwar B. Wagholikar, Massachusetts General Hospital, Harvard Medical School, and Partners Healthcare
Joshua C. Mandel, Harvard Medical School and Children's Hospital Boston
Jeffery G. Klann, Massachusetts General Hospital, Harvard Medical School, and Partners Healthcare
Shawn N. Murphy, Massachusetts General Hospital, Harvard Medical School, and Partners Healthcare

This panel will introduce the challenges posed in integrating FHIR and CDM into the platform for Informatics for Integrating Biology and the Bedside (i2b2). Panelists will share the experience on projects involving these models and standards. They will address the topics of impact of adoption of the standards within the current ecosystem of collaborative, distributed research, and on innovations to develop health care applications. They will also discuss ways to resolve the challenges and will share their views on evolution of the i2b2 framework and ongoing projects.  Panelists will engage the audience to discuss the challenges faced by the audience to adopt their informatics infrastructure to the FHIR and PCORI- CDM and how they can leverage the work done by i2b2 and SMART to address the challenges. 

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Thursday, March 24

8:30 a.m. – 10:00 a.m.

Session II10 – Supporting Research Using Mobile Platforms (Interactive Learning)

Lina Lander, Development Executive, Apple Education, Apple Inc., San Diego, CA

Apple ResearchKit: An open source software framework that makes it easy for researchers and developers to create apps for application to medical studies.

Mitchell Lunn, Assistant Professor and Co-Director for the Pride Study, UCSF School of Medicine, San Francisco, CA

PRIDE Research: The PRIDE Study, this allows healthcare providers to understand how lesbian, gay, bisexual, transgender, queer (LGBTQ), and other sexual and gender minority people’s health, lives, thoughts, and experiences change over time. With this information, we can better understand how sexual orientation and gender identity affects health and how to promote health and combat disease.

Sancy Leachman, Professor and Chair, Department of Dermatology, Director, Melanoma Research Program, Knight Cancer Institute, Portland, OR

Mole Mapper: A personalized tool to help you map, measure, and monitor the moles on your skin. Using a familiar Maps-like interface, you can measure the size of a mole using the camera and a common reference object like a coin for possible melanoma.

Daryl Waggot, Data Scientist and Bioinformatician, Stanford University, Palo Alto, CA

MyHeart Counts: A research app designed to study activity and heart health through your phone. It is also one of the largest cardiovascular research trials ever conducted. Stanford University scientists plan to use data gathered from app users to improve methods of preventing and treating heart disease.

10:30 a.m. – 12:00 p.m.

Session II11 – Creating Collaborative Opportunities in Research Data Management: Implementation and Impact of REDCAP in US Department of Veterans Affairs (Direct Learning)

Erika R. Whittier, VA Information Resource Center (VIReC), Edward Hines, Jr. VA Hospital
Paul Harris, Vanderbilt University School of Medicine and School of Engineering
Carrie Franciscus, Iowa City VA Health Care System, Comprehensive Access and Delivery Research and Evaluation (CADRE) Center
Peter H. Addy, VA Information Resource Center (VIReC), Edward Hines, Jr. VA Hospital and Connecticut Healthcare System
Denise Hynes, VA Information Resource Center (VIReC), Edward Hines, Jr. VA Hospital and University of Illinois at Chicago, College of Medicine and School of Public Health

Collaboration across university and US Department of Veterans Affairs (VA) affiliated medical centers is common in many multisite studies and large program projects, however use of comparable data management systems have long been a challenge. With the recent centralized and national deployment of REDCap in the VA, new and innovative opportunities to collaborate using REDCap are now available. This panel focuses on implementation of REDCap, Research Electronic Data Capture, in the VA as a web-based tool to collect and manage research and quality improvement data. REDCap provides functionality that enables multisite collaboration across VA sites and with university-based affiliates. With parallel design, data collection using REDCap at VA and non-VA sites can be accomplished using the same schema and forms. The tool enables systematic clinical and research data collection, integration of external data sources, and export of data to statistical analysis packages.

1:30 p.m. – 3:00 p.m.

Session II12: Informatics Landscape: How Your Work Matters and the Implementation of Research (Why and How this Matters/Interactive Learning)

Mary K. Goldstein, Director of the Palo Alto Geriatrics Research Education and Clinical Center (GRECC) at the VA Palo Alto Health Care System and a Professor of Medicine in the Center for Health Policy/Center for Primary Care and Outcomes Research (CHP/PCOR) at Stanford University
Denise Hynes, VA Information Resource Center (VIReC), Edward Hines, Jr. VA Hospital and University of Illinois at Chicago, College of Medicine and School of Public Health
Paul Harris, Vanderbilt University School of Medicine and School of Engineering

Where are we and where are we going? Mary K. Goldstein studies innovative methods of implementing evidence-based clinical practice guidelines for quality improvement. She leads the ATHENA Decision Support System project that has developed and implemented an automated clinical decision support system for primary care clinicians, using hypertension as a model, and now extended into several other clinical domains. Goldstein's research also explores older adults' health preferences (health utility) for application to cost-effectiveness analysis. Goldstein is a fellow of the American Geriatrics Society, and an emerita of the Society's board of directors. Goldstein has received a number of honors and awards including an Advanced Career Development award from the Department of Veterans Affairs Health Services Research and Development (HSR&D) program. She received a BA in philosophy and an MD, both from Columbia University, and completed her residency in family medicine at Duke University Medical Center. At the Stanford School of Medicine she completed an AHRQ-funded fellowship and an MS in health services research.

What will you do next? In the final 30 minutes of the inaugural Informatics Implementation Track, Denise Hynes and Paul Harris will lead a session that talks about your work can influence health outcomes for patients, families and communities. Through their research to improve the exchange and use of electronic health data and the collective learning experiences at the conference, attendees will discuss the lessons learned over the four-day conference and ideas to discuss and operationalize in your home institutions. 

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Evening Exploratory Sessions

Monday, March 21
6:30 p.m. – 8:30 p.m.

REDCap - Practical Implementation and Last Mile Empowerment

Vanderbilt Team + REDCap Consortium Experts

Members of the REDCap team will be present to discuss models for supporting data capture, management and dissemination across small- and large-scale research enterprises.  We will begin with a broad overview of the REDCap platform and consortium model, then break into two cross-over tutorial / discussion groups.  One group will focus on REDCap’s ‘out of the box’ functionality and discuss strategies for workforce training and engagement with local compliance/regulatory offices to ensure widespread adoption across the local research enterprise.  A second group will focus on ‘extending’ REDCap functionality and promoting large-systems interoperability using REDCap’s plug-in architecture and an extensive suite of web services.

Tuesday, March 22

No session - networking activity at Jillian’s Billiards (link to sub page)

Wednesday, March 23
6:30 p.m. – 8:30 p.m.

*i2b2 - Practical Implementation and Last Mile Empowerment

Harvard/Massachusetts General Team + i2b2 Consortium Experts

In the first half of the session,  members of the i2b2 core team will be present and lead a general discussion which will focus on the core roadmap and the new, automated plug-in distribution method.  Members of the i2b2 community will learn how they can make their own i2b2 plug-ins available for automated distribution.   In the second half of the session, there will be a tutorial on creating web-client and server-side plug-ins for i2b2 and how these can work in tandem to add enormous amounts of functionality to the core i2b2 implementation.

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