Healthcare AI at UCSD Health

Our Principles

Our Statement

Follow evolving recommendations from the University of California including their recommendations from the Artificial Intelligence Strategy University of California Presidential Working Group on October 2021:

We believe that AI can enhance human health and well-being by being effective in its applications, committing to the development and deployment of solutions that are ethical, responsible, and demonstrably beneficial for patients and society.
We respect the dignity, autonomy, and privacy of each patient by applying the most appropriate approach for each individual’s needs, guided by their preferences and feedback.
We uphold the validity of AI by adhering to the highest standards of scientific rigor, transparency, and accountability in our research and practice, ensuring our solutions are reliable and grounded in the ethical codes and regulations of our profession.
We foster an environment for developing safe AI by promoting a culture of collaboration, excellence, and innovation among our researchers, practitioners, and partners, ensuring the sharing of knowledge occurs within a framework that prioritizes safety and ethical considerations.
We embrace the principle of fairness by valuing the diversity of our patients, staff, and collaborators, striving to create an inclusive environment that respects and incorporates different perspectives, backgrounds, and experiences into the fabric of our AI development and deployment strategies.

Fair and Equitable

AI applications should be designed and implemented to promote health equity and autonomy, ensuring dignity, fairness, and mitigating biases across diverse populations.

Appropriate and Ethical

AI solutions must be developed and applied ethically, considering the broader societal implications, prioritizing inclusiveness and the common good.

Valid and Accurate

Ensuring AI systems are based on sound scientific principles, producing reliable and accurate outcomes for their intended use.

Effective and Beneficial

AI technologies should demonstrably improve health outcomes, enhancing the quality of care and person well-being, while being mindful of human autonomy.

Safe and Private

Prioritize the protection of patient safety, data privacy, and security, adhering to strict risk management and oversight protocols.

Transparent and Accountable

Maintain high levels of transparency in AI operations, making systems understandable and accountable to patients, healthcare providers, and the broader community.

Statement in Support of the White House’s FAVES Framework

UC San Diego Health proudly supports the White House’s FAVES Framework, underscoring our shared commitment to the responsible development and deployment of AI in healthcare.

This alignment reflects our dedication to advancing AI solutions that are not only innovative but also deeply grounded in ethical principles that prioritize fairness, appropriateness, validity, effectiveness, and safety.

We are inspired by the administration’s leadership and collaboration in this area and are committed to contributing to a healthcare ecosystem that harnesses the potential of AI to improve outcomes, ensure equity, and enhance the well-being of all people.

By embracing the FAVES principles, we join a collective effort to realize the promise of AI in healthcare, guided by a commitment to the highest standards of responsibility, inclusivity, and care for the communities we serve, to achieve transformative impact at scale.

Citations

AI Handbook: Joan & Irwin Jacobs Center for Health Innovation at UC San Diego Health, 2022
“Delivering on the Promise of AI to Improve Health Outcomes.” The White House, The United States Government, 14 Dec. 2023, www.whitehouse.gov/briefing-room/blog/2023/12/14/delivering-on-the-promise-of-ai-to-improve-health-outcomes/.
Boussina, Aaron, et al. “Development & Deployment of a Real-Time Healthcare Predictive Analytics Platform.” medRxiv, Cold Spring Harbor Laboratory Press, 1 Jan. 2023, www.medrxiv.org/content/10.1101/2023.04.10.23288373v1.
“The Federal Register.” Federal Register :: Request Access, www.federalregister.gov/documents/2020/12/08/2020 – 27065/promoting-the-use-of-trustworthy-artificial-intelligence-in-the-federal-government.
Reddy S; Allan S; Coghlan S; Cooper P. “A Governance Model for the Application of AI in Health Care.” Journal of the American Medical Informatics Association : JAMIA, U.S. National Library of Medicine, pubmed.ncbi.nlm.nih.gov/31682262/.
Responsible Artificial Intelligence — Recommendations to Guide the University of California’s Artificial Intelligence Strategy — UCOP, www.ucop.edu/ethics-compliance-audit-services/compliance/uc-ai-working-group-final-report.pdf.
Sendak, Mark P., et al. “Presenting Machine Learning Model Information to Clinical End Users with Model Facts Labels.” Nature News, Nature Publishing Group, 23 Mar. 2020, www.nature.com/articles/s41746-020‑0253‑3.
U.S. Department of Health & Human Services Trustworthy (TAI) Playbook — Hhs.Gov, www.hhs.gov/sites/default/files/hhs-trustworthy-ai-playbook.pdf.
“Who Issues First Global Report on Artificial Intelligence (AI) in Health and Six Guiding Principles for Its Design and Use.” World Health Organization, World Health Organization, www.who.int/news/item/28 – 06-2021-who-issues-first-global-report-on-ai-in-health-and-six-guiding-principles-for-its-design-and-use.

Healthcare AI at UC San Diego Health