Although autopsy diagnosis includes routinely, a thorough evaluation of all available pathological results and also of any available clinical data, the contribution of this clinical information to the diagnostic yield of the autopsy has not been analyzed. We aimed to determine to which degree the use of clinical data improves the diagnostic accuracy of the complete diagnostic autopsy (CDA) and the minimally invasive autopsy (MIA), a simplified pathological postmortem procedure designed for low-income sites. 264 coupled MIA and CDA procedures (112 adults, 57 maternal deaths, 54 children and 41 neonates) were performed at the Maputo hospital, Mozambique. We compared the diagnoses obtained by the MIA blind to clinical data (MIAb), the MIA adding the clinical information (MIAc), and the CDA blind to clinical information (CDAb), with the results of the gold standard, the CDA with clinical data, by comparing the ICD-10 codes and the main diagnostic classes obtained with each evaluation strategy (MIAb, MIAc, CDAb, CDAc). The clinical data increased diagnostic coincidence to the MIAb with the gold standard in 30/264 (11%) cases and modified the CDAb diagnosis in 20/264 (8%) cases. The increase in concordance between MIAb and MIAc with the gold standard was significant in neonatal deaths (kappa increasing from 0.404 to 0.618, P=.0271), adult deaths (kappa increasing from 0.732 to 0.813, P=.0221) and maternal deaths (kappa increasing from 0.485 to 0.836, P<.0001). In conclusion, the use of clinical information increases the precision of MIA and CDA and may strengthen the performance of the MIA in resource-limited settings.