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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20251016T135143Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251015T173000
DTEND;TZID=America/Chicago:20251015T183000
UID:HFESAM_ASPIRE 2025_sess138_POST415@linklings.com
SUMMARY:Evaluating Time Allocation in Dermatology Providers' Workflow: A T
 ime Study
DESCRIPTION:Okba Alenezy, Matthew Helm, and Ling Rothrock (Pennsylvania St
 ate University)\n\nDermatology clinics are getting busier, and understandi
 ng how providers utilize their time during patient visits is fundamental t
 o improving efficiency and patient throughput. This study evaluates how de
 rmatology providers allocate their time during patient visits to identify 
 workflow inefficiencies and performance variations. Observations were cond
 ucted on eight providers seeing 56 patients over four shifts. Activities p
 erformed inside and outside examination rooms were captured using EyeTrack
 ers, GoPros, and direct observation. Time allocation was divided into task
 s such as medical discussions, procedures, charting, consultations, and ex
 aminations. Results showed providers spent 67% of their time inside examin
 ation rooms, with medical discussions and procedures consuming the most ti
 me—24% and 19%, respectively. A two-sample t-test revealed significant dif
 ferences in performance between providers (F=2.495, p=0.028), particularly
  identifying slower performance by a resident physician compared to other 
 attendings. These discrepancies may be attributed to experience levels and
  workflow habits. The findings suggest that integrating EMR technologies f
 or effective communication and enhancing provider training could reduce po
 tential bottlenecks. Future efforts will focus on simulation modeling to e
 valuate the impact of proposed interventions on patient flow and provider 
 efficiency.\n\n
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