BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Denver
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:MDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:MST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20221209T214739Z
UID:151BFBE5-3053-4D67-9F96-36E28C369B7D
DTSTART;TZID=America/Denver:20220906T090000
DTEND;TZID=America/Denver:20220906T101500
DESCRIPTION:The healthcare industry today is under siege to address growing
  macroeconomic and socioeconomic challenges including high costs and low q
 uality\, increasing federal regulations\, patient expectations\, health in
 equities\, and provider consolidation. Healthcare waste alone constitutes 
 25-30% or about $1 trillion of the healthcare spending in the United State
 s. To increase efficiency and accessibility\, artificial intelligence (AI)
  has recently been used in automating business\, administrative\, and oper
 ational processes in eliminating mundane\, repetitive tasks performed by h
 umans. But can we use AI to address the remaining tasks that involve large
  amounts of data and require human cognitive capabilities to perform non-r
 outine tasks and enhance human decision-making performance? In this discus
 sion\, we will present a use case on investigating\, applying\, and implem
 enting cognitive automation in e-triage\, detection\, diagnosis\, and post
 -hospitalization care of Stroke in our health system\, involving convergen
 ce of multiple AI technologies. We hope to engage a meaningful conversatio
 n on the possibility of cognitive automation in medicine. If cognitive aut
 omation is successful in medicine\, what would be the future role of physi
 cians? What happens to the patient-physician relationship and patient expe
 rience?\n\nCo-sponsored by: Life Members Affinity Group\, Denver CO\n\nSpe
 aker(s): Dr. Stephen Wong\, Ph.D. \, \n\nAgenda: \n9:00 AM - 9:45 AM - Pre
 sentaion by Dr. Wong\n\n9:45 AM - 10:00 AM - Q & A\n\nVirtual: https://eve
 nts.vtools.ieee.org/m/320139
LOCATION:Virtual: https://events.vtools.ieee.org/m/320139
ORGANIZER:zhaojing1120@gmail.com
SEQUENCE:5
SUMMARY:Cognitive Automation in E-triage\, Detection and Diagnosis of Neuro
 logical Disorders – A Case Study in Stroke
URL;VALUE=URI:https://events.vtools.ieee.org/m/320139
X-ALT-DESC:Description: <br /><p>&nbsp\;</p>\n<p>The healthcare industry to
 day is under siege to address growing macroeconomic and socioeconomic chal
 lenges including high costs and low quality\, increasing federal regulatio
 ns\, patient expectations\, health inequities\, and provider consolidation
 . Healthcare waste alone constitutes 25-30% or about $1 trillion of the he
 althcare spending in the United States. To increase efficiency and accessi
 bility\, artificial intelligence (AI) has recently been used in automating
  business\, administrative\, and operational processes in eliminating mund
 ane\, repetitive tasks performed by humans. But can we use AI to address t
 he remaining tasks that involve large amounts of data and require human co
 gnitive capabilities to perform non-routine tasks and enhance human decisi
 on-making performance? In this discussion\, we will present a use case on 
 investigating\, applying\, and implementing cognitive automation in e-tria
 ge\, detection\, diagnosis\, and post-hospitalization care of Stroke in ou
 r health system\, involving convergence of multiple AI technologies. We ho
 pe to engage a meaningful conversation on the possibility of cognitive aut
 omation in medicine. If cognitive automation is successful in medicine\, w
 hat would be the future role of physicians? What happens to the patient-ph
 ysician relationship and patient experience?</p><br /><br />Agenda: <br />
 <p>9:00 AM - 9:45 AM - Presentaion by Dr. Wong</p>\n<p>9:45 AM - 10:00 AM 
 - Q &amp\; A</p>
END:VEVENT
END:VCALENDAR