Background: Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of medication combinations and sequences of use makes it complicated for traditional statistical methods to predict which therapy is genuinely associated with health outcomes. The project aims to use artificial intelligence (AI) to determine the quality of polypharmacy among older adults with chronic diseases in the province of Québec, Canada.
View Article and Find Full Text PDFObjectives: Clinical services have allowed pharmacists to shift from product-oriented to patient-oriented services. However, the policy and social implications of clinical services in community pharmacies are not well described. The purpose of this scoping review was to identify these implications.
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