Background: The consistency and quality of care in modern primary care are supported by various clinical reminders (CRs), which include "alerts" describing the consequences of certain decisions and "prompts" that remind users to perform tasks promoting desirable clinical behaviors. However, not all CRs are acted upon, and many are disregarded by general practitioners (GPs), a chronic issue commonly referred to as "alert fatigue." This phenomenon has significant implications for the safety and quality of care, GP burnout, and broader medicolegal consequences.
View Article and Find Full Text PDFMotivation: Data is increasingly used for improvement and research in public health, especially administrative data such as that collected in electronic health records. Patients enter and exit these typically open-cohort datasets non-uniformly; this can render simple questions about incidence and prevalence time-consuming and with unnecessary variation between analyses. We therefore developed methods to automate analysis of incidence and prevalence in open cohort datasets, to improve transparency, productivity and reproducibility of analyses.
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