As artificial intelligence (AI) continues to transform healthcare, a University of Hawaiʻi at 惭ā苍辞补 (COA) researcher is gaining national recognition for advancing data-driven tools that improve the lives of kūpuna.
Jinyoung Jenny Lee has been accepted into the competitive National Institutes of Health (NIH) program: .
Funded by the NIH through the AIM-AHEAD Coordinating Center, the program trains researchers and clinicians to use AI/ML in healthcare, strengthens infrastructure in communities and healthcare systems, and supports multidisciplinary projects that improve health outcomes. FHIR sets standards for the secure exchange of electronic health data.
“Given AI‘s current and future impact on our population’s health, I’m excited to have been selected for this multidisciplinary cohort to learn about accelerating and sustaining the adoption of AI in healthcare and research settings,” Lee said.
Translating data into tools for communities
Lee earned her PhD in public health from 东精影业 惭ā苍辞补 and has consistently integrated technological innovation into her work at COA. Her research focuses on program evaluation and data analytics, with an emphasis on making complex data accessible and actionable for communities.
I hope to empower individuals and communities in the practical applications of this emerging and powerful technology.
—Jinyoung Jenny Lee
Among her projects is the creation of the interactive, user-friendly web page , which provides detailed demographic information about Hawai?i’s aging population. She has also designed intuitive dashboards using data she collected and analyzed through her evaluation work with community organizations.
“Through my participation in the AIM-AHEAD training program, I hope not only to increase my knowledge and awareness of AI/ML but also to help empower individuals and communities in the practical applications of this emerging and powerful technology,” she said.
This research was, in part, funded by the National Institutes of Health Agreement No. 1OT2OD032581. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the NIH.
The Center on Aging is part of the .