Presentation
Designing and Implementing Human-Centered AI: Comparing and Contrasting Approaches for Clinician and Patient Users
DescriptionArtificial Intelligence (AI) has the potential to greatly change patient care. Developers have demonstrated the potential of AI to do everything from improving medical imaging through improving image quality, acquisition, and interpretation, to reducing clinician workload by assisting with documentation or bringing the right information to the clinician at the right time. The success of any one model, and therefore the impact it might have on patient care outcomes or clinicians’ workloads, hinges on how well it fits the actual workflows and needs of patients and clinicians. Luckily, however, the issue of effectively designing products and systems to fit the “end user” has long been a focus of fields such as Human Factors Engineering, Participatory Ergonomics, and Design Thinking. This panel will bring together experts in the design and implementation of human-centered AI for both clinician and patient users, across a range of healthcare settings—including acute and outpatient care settings and community- and home-based care. Panelists will be invited to compare and contrast methods and approaches for designing and implementing AI across contexts, users, and technologies, in light of some of the most pressing challenges in healthcare AI.
Event Type
Discussion Panel
TimeThursday, October 16th9:30am - 11am CDT
LocationGrand Hall G/H
Health Care