BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20261012T210906Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST167@linklings.com
SUMMARY:Evaluating Latent Hazards in Ai-enabled Clinical Occupational and 
 Environmental Medicine: a Conceptual Systems-based Hazard Analysis
DESCRIPTION:Zaira Chaudhry, Avishek Choudhury, and Christopher McGlynn (We
 st Virginia University)\n\nOccupational and environmental medicine (OEM) c
 linicians operate at the intersection of clinical medicine and the legal s
 ystem. The impact of the clinical decisions and determinations made by OEM
  clinicians extends far beyond clinical outcomes. Therefore, the integrati
 on of artificial intelligence clinical decision support systems (AI-CDSS) 
 for OEM-specific clinician tasks requires careful consideration of the dom
 ain-specific potential harms that may arise from clinician use of this tec
 hnology in OEM, as such hazards may not be readily apparent using conventi
 onal AI safety and risk assessment frameworks for the general healthcare d
 omain. This conceptual systems-based hazard analysis applies the System-Th
 eoretic Process Analysis (STPA) framework to the use of AI in clinical OEM
 , focusing on hazards related to tasks that are unique to OEM practice. Th
 is analysis identified legal, regulatory, economic, and public safety haza
 rds that must be addressed to ensure responsible and ethical integration o
 f AI in clinical OEM.\n\n
END:VEVENT
END:VCALENDAR