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DTSTART:20181104T020000
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UID:calendar.358791.field_event_date.0@www.wright.edu
DTSTAMP:20260220T000917Z
CREATED:20190425T173357Z
DESCRIPTION:Ph.D. Committee:Ā  Drs. Yong Pei\, Advisor\, Mateen M. Rizki\, K
 rishnaprasad Thirunarayan\, and David Martineau\, MD (Kettering Health Net
 work) ABSTRACTOperating room (OR) plays a crucial role in health care\, co
 ntributing more than 50% of hospitalā€™s revenue and incurring over 35% of h
 ospitalā€™s expense\, ultimately determining hospitalā€™s profitability. Moreo
 ver\, because the OR is a primary source of admissions\, it is virtually i
 mpossible to streamline hospitalā€wide workflow without first streamlining 
 patient flow through the OR. Unfortunately\, current OR scheduling practic
 es often limit the utilization of OR\, one of the most expensive resource 
 in the health care industry\, to around 60%. On the other hand\, many pati
 ents have to wait excessively long time before their surgeries can be acco
 mmodated\, while operating room goes unused. This also results in costlier
  healthcare services. For instance\, a 2005 study of 100 US hospitals foun
 d that OR charges averaged $62/min (range: $22 to133/min).In this thesis r
 esearch\, I have proposed\, developed and validated an effective and pract
 ical solution to improve utilization of operating room through a novel sch
 eduling automation system\, with a particular emphasis on how it will affe
 ct the real users (like surgeon\, nurse\, administrators\, and etc.) in th
 e workflow. Our goal is to develop a OR scheduling system that demands min
 imal changes in current workflow in clinic practices\, and maximize its ac
 ceptance and retention by physician\, nurse\, administrator\, scheduler\, 
 medical device distributors\, etc.A theoretic study through stochastic mod
 eling and queuing system simulations\, is first carried out to validate ou
 r central hypothesis and the corresponding potential performance gain in O
 R utilization when using our approach. Then\, we complete the system archi
 tecture design that help overcome the practical hassle and achieve the per
 formance gain through a mobile device ā€“enabled distributed scheduling work
 flow and an data-analytics based scheduling automation that facilitate our
  proposed scheduling practices. Finally\, a fully-fledged scheduling syste
 m has been completed for potential adoption in real world operation. OR da
 tasets from a local hospital have been used to validate the performance of
  the scheduling system. The results demonstrated clearly the significant i
 mprovement in OR utilization and cost reduction. Moreover\, physicians who
  participated in the initial trial and review have expressed clear accepta
 nce to this OR scheduling system as it greatly simplifies the current sche
 duling workflow.As a result\, we believe that a broad adoption of this nov
 el scheduling system will lead to significant improvement of OR utilizatio
 n of over 30%\, which will ultimately improve the overall workflow efficie
 ncy and increase revenue in hospitals and improve the care quality for pat
 ients.
DTSTART;TZID=America/New_York:20190430T103000
DTEND;TZID=America/New_York:20190430T123000
LAST-MODIFIED:20190425T181039Z
LOCATION:484 Joshi Research Center
SUMMARY:Ph.D. Dissertation Defense ā€œImproved Operating Room Utilization thr
 ough Distributed Scheduling Workflow and Automationā€ By Miteshkumar M. Vas
 oya
URL;TYPE=URI:/events/phd-dissertation-defense-%E2%80%
 9Cimproved-operating-room-utilization-through-distributed-scheduling
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