AUTORES

CARLOS GOMES

JOSE BORGES

ANTONIO CARVALO BRITO

BERNARDO ALMADA-LOBO

JAN/2014

REVISTA: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

EDIÇÃO: 11 / 1

PÁGINAS: 265-273

From long to short term planning, decision processes inherent to operating theater organization are often subject of empiricism, leading to far from optimal results. Waiting lists for surgery have always been a societal problem, which governments have been fighting with different management and operational stimulus plans. The current hospital information systems available in Portuguese public hospitals, lack a decision support system component that could help achieve better planning solutions. Thus, an intelligent decision support system has been developed, allowing the centralization and standardization of planning processes, improving the efficiency of the operating theater and tackling the waiting lists for surgery fragile situation. The intelligence of the system derives from data mining and optimization techniques, which enhance surgery duration predictions and operating rooms surgery schedules. Experimental results show significant gains, reducing overtime, undertime, and better resource utilization.