Monday, November 18
10:30 a.m. – 12:00 p.m.
S31: Late Breaking Session: Biomedical Informatics and Data Science Opportunities in NIH Grant Initiatives
V. Di Francesco, NHGRI/NIH; J. Coulombe, NICHD/NIH; G. Farber, NIMH/NIH; J. Couch, NCI/NIH; D. Gossett, NIDDK/NIH; S. Gregurick, NIH ODSS; V. Florance, National Library of Medicine
NIH Program Officers from NHGRI, NIDDK, NIMH, NICHD, NCI, and NLM will present evolving research areas of interest to the Institute’s grant programs in which informatics/data science methods are a key factor and highlight features of a good data science/informatics grant application for their organization. The new head of the NIH Office of Data Science Strategies will also provide insight into grant opportunities linked to the NIH Data Science Strategic Plan.
S32: Late Breaking Session: Health Informatics Certification Update
C. Gadd, Vanderbilt University Medical Center; D. Fridsma, AMIA
This late breaking interactive session will provide an update on AMIA’s efforts to establish health informatics certification. It will address how certification fits into AMIA’s strategy to strengthen the health informatics profession, how the 2018 health informatics practice analysis relates to launching a new certification program, key components of the planned certification program, and recent activities that are critical for the successful launch of the health informatics certification program.
12:30 p.m. – 1:30 p.m.
Late Breaking Session: Promoting Public Access to Research Data: Policy, Infrastructure, Service and Sustainability
P. Flatley Brennan, National Library of Medicine; T. Walters, Virginia Tech; T. Kloefkorn, National Science Foundation
In this late-breaking session two reports addressing strategies to propose public access to research data will be showcased. The first report summarizes AAU-APLU workshop on accelerating public access to research data, an NSF-funded project to assist research universities in developing policy, infrastructure, and services for research data that can and should be open to the public, generated during a workshop following AAU-APLU Public Access Working Group Report and Recommendations (November 2017). The second report summarizes the National Academies of Sciences, Engineering and Medicine’s July 2019 workshop on forecasting costs for preserving, archiving and promoting access to biomedical data.
Tuesday, November 19
8:30 a.m. – 10:00 a.m.
S63: Late Breaking Session: Informatics (literally) Inside the Beltway: 2019 Annual Symposium Public Policy Update
J. Smith, AMIA; J. Kannry, Mount Sinai Medical Center
In future years, 2019 will be viewed as a transformative year for Health Informatics Policy. In the span of nine months, the administration birthed a comprehensive strategy to reduce health IT-related burden, established long-sought policies for a nationwide “network of networks,” and identified polices to make patient data available through APIs “without special effort.” …And that was just one office inside HHS!
To get caught up on all the rest that happened across the Executive Branch and Congress in 2019, and to discuss what lies ahead for Health Informatics Policy in 2020 and beyond, join AMIA Public Policy leaders for another installment of “Informatics Inside the Beltway,” Annual Symposium Edition. We’ll consider new policies from NIH, new projects at AHRQ, the fate of PCORI, and the future of consumer data privacy in Congress, among other topics.
1:45 p.m. – 3:15 p.m.
S84: Late Breaking Session: AI in Health Care: The Hope, the Hype, the Promise, the Peril
D. Whicher, National Academy of Medicine; W. Chapman, University of Melbourne; E. Mendonca, Indiana University/Regenstrief Institute, Inc.; N. Shah, Stanford University; M. Matheny, Vanderbilt University Medical Center
Artificial Intelligence (AI) and its many application (i.e., prediction, visualization, decision support) in health care, have been widely discussed. As the health care environment continues to evolve, including the explosion of available electronic health data, AI has been charged with and described as a solution (or promise) to, among other things, cost reduction, improving quality and access, and changing behavior. Recognizing the importance of AI in this environment, the National Academy of Medicine (NAM) Leadership Consortium for a Value & Science-Driven Health System—through its Digital Health Learning Collaborative (DHLC) — brought together experts to explore opportunities, issues, and concerns related to the expanded application of AI in health and health care settings. The product of this discussion was a NAM publication “Artificial Intelligence and Health Care: The Hope, The Hype, The Promise, and The Perils.” The panel will present the key themes from this publication. Speakers will engage the audience in a discussion of moving forward.
Wednesday, November 20
8:30 a.m. – 10:00 a.m.
S105: Late Breaking Session: The All of Us Research Program
J. Denny, Vanderbilt University Medical Center; M. Begale, Vibrent Health; L. Ohno-Machado, University of California San Diego; K. Gebo, National Institutes of Health; R. Carroll, Vanderbilt University Medical Center; B. Malin, Vanderbilt University Medical Center; A. Ramirez, Vanderbilt University Medical Center
The NIH All of Us Research Program is a historic effort to gather data over many years from one million or more people living in the United States, with the ultimate goal of accelerating research and improving health. All of Us will serve as an international research resource, covering a wide variety of health conditions, with researchers using the data to learn more about how individual differences in lifestyle, environment, and biological makeup can influence health and disease. In the first year of enrollment, more than 180,000 participants have contributed biospecimens, answered surveys, and agreed to share their EHR. We have collected over 112,000 electronic health records (EHRs) from 34 healthcare provider organizations. About 80% of the core participants are from populations traditionally underrepresented in biomedical research. All of Us intends to sequence the genomes of one million people and, not only release these data to investigators, but also return genetic information with health relevance to individual participants who wish to receive it. The All of Us Research Hub will open to investigators in the Winter of 2019.
This session will 1) provide an overview of the All of Us Research Program and the status of recruiting a cohort of 1 million engaged participants, 2) provide an overview of data elements collected, including EHR data, and their curation, 3) describe the genomics plan, including returning genomic results to participants, 4) describe the data protection strategies of the program, and 5) demonstrate use of the All of Us public data browser, the Researcher Workbench, and initial demonstration projects.