Structured electronic health records (EHRs) are increasingly being used to predict risk of disease by analysing ‘patient trajectories’. We conducted a PubMed and Web of Science search for studies using temporal EHR sequences to identify disease signatures or predict disease. This scoping review assesses study characteristics, identifies model types, and appraises performance and reporting.