Increasing Throughput in Health Services Organizations by Bruce L. Golden Decision & Information Technologies Research Day, Sept. 7, 2007.

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Presentation transcript:

Increasing Throughput in Health Services Organizations by Bruce L. Golden Decision & Information Technologies Research Day, Sept. 7, 2007

2 Associated Press News Item – 8/24/07  Man Dies After Surgeon Operates on Wrong Side of Head  Rhode Island Hospital in Providence  86-year-old man dies three weeks after surgery  This was 3 rd wrong-side surgery error in the hospital’s neurosurgery unit in 6 years  The hospital's public reaction  In the surgical team’s haste to treat the patient, it didn’t follow proper procedures  Hospitals need help!

3  Cardiac surgery line throughput  Carter Price (Ph.D. student), Ed Wasil  ICU vs. IMC beds  We used simulation  Increased throughput by 17%  Increased profit by $2.67 million/year  A simplified view Areas of Research Interest Cardiac Surgery ICUIMC Home, local hospital or other location

4 Areas of Research -- continued  Hospital bed management  The ultimate goal  Impacts the utilization of operating rooms, surgical scheduling, admissions, referrals, the emergency department, diversions, etc.  Gemstone Project, 13 students, 3-year effort  E.g., the OR, random demand, and non-random demand  Reducing PACU backlog and boarding  Carter Price (Ph.D. student), Ed Wasil  Part of hospital bed management  Short-term goal  E.g., discharge by noon rather than 4 pm

5  Patients flow from the PACU to intensive care beds  Surgeries are scheduled with surgeons in mind, without taking patient flow into account  Boarding occurs when a patient is forced to remain in the PACU overnight  Backlog and boarding increase the likelihood that surgeries will be put on hold, since patients have to remain in the OR  On 7/17/07, 13 patients spent the night in the PACU due to a lack of intensive care beds Reducing PACU Backlog and Boarding

6  An IP was formulated to balance the in-flow of scheduled surgeries with the out-flow of patients being discharged  Based on 6 months of recent data, the IP reduced the number of boarders by 26%  We are in the process of refining the model and expect to implement it within a year Current Status of the PACU Project