Patients’ electronic records in community pharmacy are an untapped resource to uncover new ways of providing healthcare services. In this paper, we present a preliminary work, where we explore this resource, aiming to identify patients’ clusters that will help to define a future algorithm. This algorithm will then enable community pharmacists to provide tailored pharmaceutical interventions according to patient’s risk assessment and needs. In this way, this work will provide a way to overcome known barriers for community pharmacists’ provision of services and integration in the health system, while also contributing to support a better care for chronic patients.