BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20251016T135132Z
LOCATION:Grand Hall G/H
DTSTART;TZID=America/Chicago:20251016T093000
DTEND;TZID=America/Chicago:20251016T110000
UID:HFESAM_ASPIRE 2025_sess201_PAN150@linklings.com
SUMMARY:Designing and Implementing Human-Centered AI: Comparing and Contra
 sting Approaches for Clinician and Patient Users
DESCRIPTION:Hanna J. Barton and Erkin Ötleş (University of Wisconsin - Mad
 ison), Megan Salwei (Vanderbilt University Medical Center), Enid Montague 
 (University of Toronto), Nat Benda (Columbia University), and Nicole Werne
 r (Vanderbilt University Medical Center)\n\nArtificial Intelligence (AI) h
 as the potential to greatly change patient care. Developers have demonstra
 ted the potential of AI to do everything from improving medical imaging th
 rough improving image quality, acquisition, and interpretation, to reducin
 g clinician workload by assisting with documentation or bringing the right
  information to the clinician at the right time. The success of any one mo
 del, and therefore the impact it might have on patient care outcomes or cl
 inicians’ workloads, hinges on how well it fits the actual workflows and n
 eeds of patients and clinicians. Luckily, however, the issue of effectivel
 y designing products and systems to fit the “end user” has long been a foc
 us 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 use
 rs, across a range of healthcare settings—including acute and outpatient c
 are settings and community- and home-based care. Panelists will be invited
  to compare and contrast methods and approaches for designing and implemen
 ting AI across contexts, users, and technologies, in light of some of the 
 most pressing challenges in healthcare AI.\n\nTrack: Health Care\n\nSessio
 n Chair: Hanna J Barton (University of Wisconsin - Madison)\n\n
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