The UCLA Center for SMART Health and UCLA Health Information Technology held the 2023 Annual Symposium and Data Day at the UCLA Luskin Conference Center on May 11, 2023. Data Day is a bi-annual series that focuses on the use of data and analytics in the hospital system, faculty practice group, and our clinical research community. Over 180 attendees joined to celebrate the amazing work happening across health systems. Attendees also participated in the Data Product Expo which highlights product offerings supported by the Office of Health Informatics and Analytics (OHIA).
Guest presenters from different disciplines shared their expertise on the spectrum of challenges that are happening on the academic side of data to the actual implementation of challenges that are happening on the health system. Topics include data driven innovation, ethics and privacy in data science, frameworks for deploying new technologies, panel discussions, and of course the hot topic of artificial intelligence in healthcare and the importance of responsible AI.
Visit 2023 UCLA Health Data Day for event presentations and panel discussions.
Artificial intelligence is rapidly advancing and transforming many industries, including healthcare. AI has the potential to improve healthcare systems by automating routine tasks, providing more precise diagnoses, and personalizing treatment. However, there are also concerns regarding the impact of AI on healthcare jobs and the potential for algorithmic bias. With careful governance, responsible development, and human oversight, AI could play an instrumental role in advancing healthcare and medicine in the years to come.
Hearst Health Prize
The Center for SMART Health was honored to present Stanford Medicine with this year’s Hearst Health Prize of $100,000. This award is given in recognition of outstanding achievement in managing and improving health in the United States through the application of data science. Stanford Medicine was awarded for their development of an artificial intelligence algorithm and deep learning algorithm to automatically read CT scans within seconds to estimate the coronary calcium score from patient chest CT scans. The information is presented back to patients and their clinicians in an actionable format that provides informed decision making. Please join us in applauding Stanford Medicine for their fantastic work utilizing AI to improve healthcare.