Abstract: Introduced here is a computer-aided diagnostic system that is able to surface diagnostic insights through analysis of data related to claims submitted to insurers for reimbursement purposes. At a high level, the system enables diagnoses that should be associated with individual patients to be more reliably detected, lessening the likelihood of negative diagnoses being false negatives. The system is distinguishable from conventional diagnostic support systems in that the analysis is retrospective, using claims-related datasets. Note that, in some embodiments, the system may examiner, consider, or otherwise incorporate clinical data, though its analysis is primarily focused on claims datasets. Through the retrospective lens, patterns of diagnoses, treatments, and consultations can be surfaced by the system. These patterns can be helpful in suggesting diseases that are not readily apparent in clinical data that is available at the time of treatment.