Tuesday, March 24
7:00 a.m. – 8:15 a.m.
TBI-BOF01: Precision Medicine
J. Tenenbaum, Duke University
President Obama’s announcement of the Precision Medicine initiative puts the Translational Bioinformatics Summit on center stage for articulating how to integrate health data and ‘omics’ data to achieve precision medicine. Dr. Jessie Tenenbaum will lead a discussion informed by input from leaders in the field. If you want to be part of this timely discussion on the future of translational research make sure you attend this BOF.
TBI-BOF02: Deep Phenotyping
J. Pathak, Mayo Clinic
Deep phenotyping has been described as a critical methodology on the path to precision medicine. Dr. Jyotishman Pathak will describe his efforts at Mayo Clinic and how they can be used, expanded and generalized to create well-specified phenotypes for genomic studies. Be part of the discussion on how we can work to achieve deep phenotype identification and utilization across healthcare.
TBI-BOF03: Big Data to Knowledge
N. Tantonetti, Columbia University
The Big Data to Knowledge initiative is the perfect storm of patient centered information, metadata, genomics, phenotyping and causal knowledge discovery. Dr. Nicholas Tatonetti will lead the BOF in a discussion of the current state of research and how it impacts our progress toward precision medicine. Be sure to attend this BOF to discuss the successes, questions and challenges that the field will need to tackle in order to transform data into knowledge in this big data era.
Thursday, March 26
7:00 a.m. – 8:15 a.m.
CRI-BOF01: Sustaining the Effective Use of Health Care Data
A. Wilcox, Intermountain Healthcare
This birds-of-a-feather (BOF) session will discuss lessons learned in sustaining health research data infrastructures. Specifically, it will address (a) what sustainability models exist for health research data infrastructures, (b) what are the common and important attributes of those models that lead to sustainability, (c) what are other lessons learned from both successful and unsuccessful models, and (d) what are current important trends in sustainability. A recent informatics journal issue focused on sustaining large projects working with clinical data, and initial information will be drawn from the examples in that issue. These examples created an initial set of sustainability examples from which patterns may be identified; however, more examples are needed to best identify important characteristics of successful sustainability plans. With this BOF session, we can identify both more examples and more themes from existing examples to inform others developing such plans. Sustainability is a critical topic, with better understanding and application needed to maximize the benefit of investments in clinical research data infrastructures.
CRI-BOF03: Creating a Home for the Clinical and Translational Research Informatics Community within AMIA and Beyond
N. Anderson, University of California, Davis; P. Payne, The Ohio State University; J. Starren, Northwestern University; J. Tenenbaum, Duke University
Over the last several years, substantial discussion has taken place within AMIA and in the broader biomedical research community concerning how to create, sustain, and engage a robust community of practice focusing upon clinical and translational research informatics. As part of these conversations, AMIA has emerged as a leading professional home for such individuals. In addition, emergent efforts by the CI4CC, CTSA IDTF, and Clinical Research Forum are providing convening venues for clinical and translational research informatics investigators, practitioners, and trainees. This birds-of-a-feather session will provide a forum for both discussing such developments and defining new and emergent priorities for AMIA in this constantly evolving and critical domain.
Friday, March 27
7:00 a.m. – 8:15 a.m.
CRI-BOF02: Common Data Models for Patient-centered Comparative Effectiveness Research
A. Solomonides, NorthShore University HealthSystem; J. Logan, Oregon Health & Science University
This birds-of-a-feather session (BOF) will address two issues: (a) From the point of view of scientists and clinical/biomedical researchers, what are the merits of the many alternative data models that have been used or proposed for comparative effectiveness research? (b) From the point of view of practical informaticians who must extract-transform-load (ETL) data from EHRs into data marts built to the specification of an abstract model, what are the common virtues and challenges of these models?
The Patient-centered Outcomes Research Institute has funded 11 Clinical Data Research Networks and 18 Patient-powered Research Networks with the goal of setting up a national network to support patient-centered comparative effectiveness research. A lively debate has taken place since then to determine the most appropriate and effective data models and standards to be adopted by such networks so as to ensure accuracy, longevity, sustainability, usability, and comparability of data. The issues and problems of using electronic health record data for research, and observational comparative effectiveness research in particular, have been extensively discussed in the literature. Aspects that have attracted less attention include the diversity of models and standards adopted and the difficulties of extraction of meaningful data for research. The BOF will discuss particular choices and their rationale, issues in relation to data domains, standards and terminologies for different domains, problems with extraction of reliable data from electronic health records and examples of uses of the data models in comparative effectiveness research.