Daniel Antonioli

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OBJECTIVE The number of acute hospital beds is determined by health authorities using methods based on ratios and/or target bed occupancy rates. These methods fail to consider the variability in hospitalization demands over time. On the other hand, the implementation of sophisticated models requires the decision concerning the number of beds to be made by(More)
Objective. Most methods used to estimate ICU bed needs rely either on simple formulas that do not consider the actual needs of the population or on simulations that are too specific to be applicable to all hospitals. We sought to develop a universally applicable nonparametric method. Design and setting. For each day, the number of immediate patient(More)
Melanoma is one of the fastest growing cancers worldwide. We need to have tools to identify patients with high risk of melanoma. We carried out a case-control study and tested three methods to develop an individual score of melanoma risk, usable in routine practice. All cases included newly diagnosed invasive cutaneous melanoma of stage I or II (6th(More)
OBJECTIVES To propose an objective approach in order to determine the number of beds required for a hospital department by considering how recruitment fluctuates over time. To compare this approach with classical bed capacity planning techniques. METHODS A simulated data-based evaluation of the impact that the variability in hospital department activity(More)
The determination of the number of beds needed for a hospital department is a complex problem that try to take into account efficiency, forecasting of needs, appropriateness of stays. Health authority used methods based on ratios that do not take into account local specificities and use rather to support an economic decision. On the other side, the models(More)
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