Online Archive of University of Virginia Scholarship
Designing a Dashboard to Streamline Pediatric Heart Transplant Decision Making/Artificial or Human Judgement: Implications of Automating High-Stakes Decision Making in Healthcare238 views
Author
Miller, Allison, School of Engineering and Applied Science, University of Virginia
Advisors
Norton, Peter, EN-Engineering and Society, University of Virginia
Abstract
Effective interfaces that simplify tasks without impairing decisions are crucial for high-stakes decision making in healthcare. Artificial intelligence (AI) can improve user experience by optimizing allocation decisions. However, AI poses a risk of algorithmic bias. The research team proposed interface redesigns to optimize the allocation of donor organs, using a user-centered design approach. The team developed a final interface mockup based on insights gathered from research and interviews. Future project teams may develop the mockup into a prototype for testing and evaluation. The ethical implications of medical AI are controversial, with patients, medical professionals, and healthcare service providers disagreeing on its optimal applications.
Miller, Allison. Designing a Dashboard to Streamline Pediatric Heart Transplant Decision Making/Artificial or Human Judgement: Implications of Automating High-Stakes Decision Making in Healthcare. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2023-05-11, https://doi.org/10.18130/r5cq-p588.
