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UID:68a643d2857ef1b881d2fba76a8304d9
DTSTAMP:20240506T055558Z
SUMMARY:Informing and Personalizing the Response to Inpatient Physiological
  Deterioration Using Early Warning Scores
DESCRIPTION: \n\nThe Department of Decision Sciences invites you to attend 
 Informing\nand Personalizing the Response to Inpatient Physiological\nDete
 rioration Using Early Warning Scores Speaker: Muge Capan\, Ph.D.\,\nResear
 ch Investigator at Value Institute Thursday\, Oct 23rd\, 2014\,\n11am – 
 12noon. Gerri C. LeBow Hall\, Room 722 For more information\,\nplease cont
 act Wenjing Shen at wenjings@drexel.edu.\n\nAbstract Hospitalized patients
  are at risk of unexpected clinical\ndeterioration\, usually characterized
  by a disturbance in physiology.\nEarly detection with appropriate respons
 e can reduce the risk of\nundesired outcomes. Early Warning Scores are wid
 ely used in hospitals\nto structure the early recognition and provide guid
 ance to identify\nthe patients who may need additional attention. However\
 , there are\nchallenges associated with the current use of Early Warning S
 cores.\nThere is a lack of standardization in clinical guidelines for\nsel
 ecting the physiological measures to be included in a score and\ntheir cut
 -off points. Most published scores include expert opinion\nbased cut-off p
 oints to assess risk for a specific event. As a result\,\nthe performance 
 of any score depends on the outcome of interest. In\naddition\, the curren
 tly used cut-off points are not patient-specific.\nOur research involves u
 nderstanding the heterogeneity of the patient\npopulation in a large healt
 h care system\, and developing decision\nmodels for patient-centered rapid
  response. We focus on two types of\nuncertainty: (i) uncertainty in a pat
 ient’s condition\, and (ii)\nprovider perception-based uncertainty in mo
 del parameters. This talk\nwill discuss the results of electronic medical 
 records-derived\nMarkovian models for identifying optimal rapid response t
 eam\nactivation policies.\n\nBiography Muge Capan\, PhD\, is a Research In
 vestigator at the Value\nInstitute at Christiana Care Health System specia
 lizing in health\nsystems engineering and patient outcomes research. She e
 arned her PhD\nin Industrial and Systems Engineering from North Carolina S
 tate\nUniversity. Her areas of concentration include stochastic processes\
 ,\ndecision analysis\, and mathematical modeling with applications to\nmed
 ical decision making and optimization of hospital operations using\nlarge-
 scale electronic medical records.\n 
DTSTART:20141023T150000Z
DTEND:20141023T160000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 722\, Philadelphia\, PA
  19104
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