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PRODID:IEEE vTools.Events//EN
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DTSTART:20220313T030000
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DTSTAMP:20220120T214854Z
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DTSTART;TZID=America/New_York:20220120T120000
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DESCRIPTION:While monitoring patient status through manual assessments and 
 diagnoses is still considered the gold standard\, manual methods impose se
 vere time and personnel resources limitations. Many critical care indices 
 are currently repetitively assessed by overburdened ICU nurses\, e.g.\, ph
 ysical function. Other essential information about patients and their envi
 ronment are not captured or captured in a non-granular manner\, e.g.\, sle
 ep disturbance factors such as bright light\, loud background noise\, pati
 ent agitation\, or excessive visitations. This talk will discuss how to bu
 ild the foundation of an intelligent ICU by developing and validating real
 -time and assessment tools using novel pervasive sensing and AI technologi
 es.\n\nSpeaker(s): Parisa Rashidi\, \n\nBoston\, Massachusetts\, United St
 ates\, Virtual: https://events.vtools.ieee.org/m/297026
LOCATION:Boston\, Massachusetts\, United States\, Virtual: https://events.v
 tools.ieee.org/m/297026
ORGANIZER:aseem.singh@ieee.org
SEQUENCE:4
SUMMARY:Intelligent ICU for Patient Monitoring Using Pervasive Sensing and 
 AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/297026
X-ALT-DESC:Description: <br /><p>While monitoring patient status through ma
 nual assessments and diagnoses is still considered the gold standard\, man
 ual methods impose severe time and personnel resources limitations. Many c
 ritical care indices are currently repetitively assessed by overburdened I
 CU nurses\, e.g.\, physical function. Other essential information about pa
 tients and their environment are not captured or captured in a non-granula
 r manner\, e.g.\, sleep disturbance factors such as bright light\, loud ba
 ckground noise\, patient agitation\, or excessive visitations. This talk w
 ill discuss how to build the foundation of an intelligent ICU by developin
 g and validating real-time and assessment tools using novel pervasive sens
 ing and AI technologies.</p>
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