01875nas a2200229   4500000000100000008004100001653001400042653003400056653002200090100001900112700001100131700001200142700001100154700001400165700001100179700001600190245010900206300001000315490000700325520129900332022001401631       2019                            d10aDataminin10amental health care management10aPatient profiling1 aAJBAL Khaoula 1 aSamy H1 aZineb S1 aAdil K1 aMohamed A1 aOmar B1 aMohammed BO00aPatient profiling for mental healthcare management optimization in developing countries using Datamining  a11-160 v173 a<p>CPU Ibn Rochd is a reference centre for mental healthcare in Casablanca, Morocco. It has a heavy workload, overwhelming the resources allocated. However, a prior knowledge of this centre's population characteristics makes it possible to increase the healthcare efficiency by, for instance, redistributing the healthcare services according to the centre's patient profiles. Datamining techniques allow such a procedure. Based on patient data recorded in the CPU consultation information system in 2015, we applied clustering, a Datamining technique, for the discovery of different patient profiles. Then we displayed the results in the form of a health mapping to explore the clusters' geographic dimension and facilitate their interpretation by psychiatrists. Spread over two territories of Casablanca, three patient profiles have been discovered. The identifying variables for each profile are diagnosis, sex of the patient, toxic habits and family status. The results were discussed in a psychiatric staff, and recommendations regarding resource allocation and mental health management optimization have been issued. Hence, Datamining can serve as useful tool for upper management as it can enable healthcare executives to make efficient knowledgedriven and contextualized decisions.</p>
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