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The allocation of surgeries to operating rooms (ORs) is a challenging combinatorial optimization problem. There is also significant uncertainty in the duration of surgical procedures, which further complicates assignment decisions. In this article, we present stochastic optimization models for the assignment of surgeries to ORs on a given day of surgery.(More)
BACKGROUND Disease registries, audit and feedback, and clinical reminders have been reported to improve care processes. OBJECTIVE To assess the effects of a registry-generated audit, feedback, and patient reminder intervention on diabetes care. DESIGN Randomized controlled trial conducted in a resident continuity clinic during the 2003-2004 academic(More)
OBJECTIVE To compare the compliance with diabetes care performance indicators by diabetes specialists using a diabetes electronic management system (DEMS) and by those using the traditional paper medical record. RESEARCH DESIGN AND METHODS A DEMS has been gradually introduced into our subspecialty practice for diabetes care. To assess the value of this(More)
O perating room (OR) scheduling is an important operational problem for most hospitals. In this study, we present a novel two-stage stochastic mixed-integer programming model to minimize total expected operating cost given that scheduling decisions are made before the resolution of uncertainty in surgery durations. We use this model to quantify the benefit(More)
Creation of an Outpatient Procedure Center (OPC) is a complicated endeavor, requiring a detailed understanding of the resources available and the procedures to be performed. Miscalculation of resource allocation or patient flow through the area can result in the waste of expensive resources, patient dissatisfaction, and health care provider inefficiency.(More)
Surgical services require the coordination of many activities, including patient check-in and surgical preparation, surgery, and recovery after surgery. Each of these activities requires the availability of resources including staff, operating rooms, and intake and recovery beds. Furthermore, each of these activities has substantial uncertainty in their(More)
This pilot project was designed to determine the feasibility and effectiveness of an adaptation of the chronic care model applied to uninsured patients in a free medical clinic staffed by volunteer physicians. Of the 149 enrolled patients, 117 had hypertension, 91 had diabetes, and 51 had hyperlipidemia. Patients were enrolled in a chronic disease registry(More)
OBJECTIVE To compare cases identified through the Complications Screening Program (CSP) as complications with cases using the same ICD-9 secondary diagnosis codes, where the identifying diagnosis is also indicated as not present at admission. DESIGN Observational study comparing two sources of potential hospital complications: published computer(More)
Patient appointment booking, sequencing, and scheduling decisions are challenging for outpatient procedure centers due to uncertainty in procedure times and patient attendance. We formulate a model based on a two-stage stochastic mixed integer program for optimizing booking and appointment times in the presence of uncertainty. The objective is to maximize(More)
Recovery beds for cardiovascular surgical patients in the intensive care unit (ICU) and progressive care unit (PCU) are costly hospital resources that require effective management. This case study reports on the development and use of a discrete-event simulation model used to predict minimum bed needs to achieve the high patient service level demanded at(More)