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Campos, Hugo

https://orcid.org/0000-0001-5540-4115

Mayo Clinic

All of Us Research Program and California Precision Medicine Consortium (CaPMC), Oakland, California, United States

Citations 2

A Policy Framework to Support Shared Decision-Making through the Use of Person-Generated Health Data
Edmunds, Margo, McGraw, Deven , Priest, Elisa L. , Smith, Jeffery, Kemp, Eagan, Campos, Hugo , Petersen, Carolyn

ACI Open | November 16, 2021 | Volume: 05 | Issue: 02 | Pages: e104-e115

10.1055/s-0041-1736632 Get It

Abstract Background Individuals increasingly want to access, contribute to, and share their personal health information to improve outcomes, such as through shared decision-making (SDM) with their care teams. Health systems' growing capacity to use person-generated health data (PGHD) expands the opportunities for SDM. However, SDM not only lacks organizational and information infrastructure support but also is actively undermined, despite public interest in it. Objectives This work sought to identify challenges to individual–clinician SDM and policy changes needed to mitigate barriers to SDM. Methods Two multi-stakeholder group of consumers, patients, caregivers; health services researchers; and experts in health policy, informatics, social media, and user experience used a consensus process based on Bardach's policy analysis framework to identify barriers to SDM and develop recommendations to reduce these barriers. Results Technical, legal, organizational, cultural, and logistical obstacles make data sharing difficult, thereby undermining use of PGHD and realization of SDM. Stronger privacy, security, and ethical protections, including informed consent; promoting better consumer access to their data; and easier donation of personal data for research are the most crucial policy changes needed to facilitate an environment that supports SDM. Conclusion Data protection policy lags far behind the technical capacity for third parties to share and reuse electronic information without appropriate permissions, while individuals' right to access their own health information is often restricted unnecessarily, poorly understood, and poorly communicated. Sharing of personal information in a private, secure environment in which data are shared only with individuals' knowledge and consent can be achieved through policy changes.
Citizen science to further precision medicine: from vision to implementation
Petersen, Carolyn , Austin, Robin , Campos, Hugo , Chung, Arlene E. , Hekler, Eric B. , Hsueh, Pei-Yun S, Pho, Anthony T. , Salmi, Liz , Austin, Robin R , Petersen, Carolyn , Backonja, Uba , Kim, Katherine K. , Solomonides, Anthony , Valdez, Rupa S.

JAMIA Open | December 3, 2019 | Volume: 3 | Issue: 1 | Pages: 2-8

10.1093/jamiaopen/ooz060 Get It

AbstractThe active involvement of citizen scientists in setting research agendas, partnering with academic investigators to conduct research, analyzing and disseminating results, and implementing learnings from research can improve both processes and outcomes. Adopting a citizen science approach to the practice of precision medicine in clinical care and research will require healthcare providers, researchers, and institutions to address a number of technical, organizational, and citizen scientist collaboration issues. Some changes can be made with relative ease, while others will necessitate cultural shifts, redistribution of power, recommitment to shared goals, and improved communication. This perspective, based on a workshop held at the 2018 AMIA Annual Symposium, identifies current barriers and needed changes to facilitate broad adoption of a citizen science-based approach in healthcare.