Being transparent about the use of data collected during clinical care is important to establish trust relationships between patients and researchers. We propose to develop a system to elicit patient preferences for clinical data sharing that takes into account what data are going to be shared and who is going to be the recipient of shared data. Lessons learned from a pilot study indicate that providing such options in a real clinical setting does not result in massive patient withdrawal in data sharing.

Concerns about privacy and personal identity impede use of data about genomic variation, phenotypes, demographics, and exposures from large numbers of people to uncover the contributions of such information on health and disease, knowledge that can improve clinical care. People worry that these data and genomic data in particular, cannot be secured. Many fear that data about them will be used in ways they oppose (e.g., to deny them and those they love access to jobs and insurance) because existing legal rules about such uses are not comprehensive.

Family history is an essential predictor of disease risk, yet it is often incomplete, inaccurate, and underutilized in today's clinical settings. With the increasingly widespread adoption of electronic medical records (EMRs), many individuals are born today into a health system in which many of their family members have substantial longitudinal EMRs. These records present a vast untapped resource for deriving Data-Driven Family Histories - family histories constructed directly from the EMRs of patients' family members.

Individual institutions across the country have worked to support research in a wide variety of areas, including precision medicine research, by developing large biorepositories comprised of biospecimens and health data collected from local patients and controls. However, these local cohorts rarely provide the diversity and size needed to identify and study subsets of patients who share biological mechanisms for their disease, and are thus more likely to respond to the same targeted therapies.

Health research using mobile devices, such as smartphones and tablets, is becoming more common. New hardware and software can transform a mobile device into a sophisticated data collection and analytical platform. These technologies are fundamentally changing health research because the recruitment, data collection, and data sharing are conducted online without any face-to-face interaction between researchers and research participants.

This project will identify and address ethical and practical barriers to qualitative data sharing (QDS) in health sciences research. Qualitative research has unique value in understanding health behaviors and traits that are stigmatized and hidden such as risk factors for HIV or a genetic propensity to addiction. Accordingly, a lot of qualitative data are sensitive, and the data are provided within relationships of trust.

The overall goal of the proposed research is to advance policy approaches to support Precision Medicine research (PMR) with American Indian and Alaska Native (AIAN) people through culturally respectful dialogue, empiric data collection, and deliberation with rural and urban AIAN community members and tribal representatives in Alaska and Montana.

The North Coast Conference on Precision Medicine is a national annual mid-sized conference series held in Cleveland, Ohio. The conference series aims to serve as a venue for the continuing education and exchange of scientific ideas related to the rapidly evolving and highly interdisciplinary landscape that is precision medicine research. The topics for each conference coincide with the national conversation and research agenda set by national research programs focused on precision medicine.

As concerns for border security increase, policymakers are turning to genomics as a biometric for tracing individuals entering the country, identifying missing migrants' remains, processing refugee claims, and screening for human trafficking. Increasingly, genomic information is a part of legislation and policy as a universal and sustainable biometric. Genetic verification of claimed relationships is required for some refugees and proposed legislation would expand this practice.

Candidate: Kayte Spector-Bagdady, JD, MBE, is an attorney and medical ethicist focused on the governance of secondary research use of human specimens and genetic data. Her long-term career goal is to become an independent investigator leading the development, conduct, and translation of mixed methods ethical, legal, and social implications research into improved genetic data-sharing governance. Research Context: “Precision medicine” and other advances in genetic research offer opportunities to improve diagnosis and therapy for millions of patients.