The focus of this project will be to model and optimize the scheduling of clinics at PMH-assigning clinics to clinic areas and clinic timeslots. The objective will be to improve the current schedule with respect to key performance metrics. These metrics will include clinic overtime, the equality of the distribution of demand on shared resources and the volume of patients which are able to take advantage of same day inter-clinic referrals.
Many workers in the Sarnia region have had past occupational exposure to asbestos. Currently, a study is under way at the Princess Margaret Hospital in Toronto to attempt to detect early stage lung disease in these workers using low dose computed tomography imaging of the chest. The internship will evaluate the relationship between asbestos and smoking exposures, pulmonary function changes and asbestosis (fibrosis or scarring of the lung due to asbestos exposure). Data for this study will come from medical records, existing questionnaire data and results of computed tomography.
Many hospitals use image-guided cone-beam computed tomography (CT) to provide qualitative treatment for cancer patients. Although cone-beam CT provides good volumetric images, it takes a while to reconstruct them, which limits its applications because in many cases, real-time spatial information about patient’s internal structures is needed.
Detecting ovarian cancer is, in general, difficult because of the lack of effective screening tests. If the disease is discovered when confined to the ovaries, surgery alone is curative in more than 90% of patients - however, in most patients, diagnosis only occurs after dissemination beyond the ovaries. In these cases, a combined treatment of surgery and chemotherapy is necessary. Unfortunately prognosis is grim and median survival is only 3 years despite treatment.