Pneumonia is a leading cause of mortality and morbidity worldwide with radiographically confirmed pneumonia a key disease burden indicator. This is usually determined by a radiology panel which is assumed to be the best available standard; however, this assumption may introduce bias into pneumonia incidence estimates. To improve estimates of radiographic pneumonia incidence, we applied Bayesian latent class modelling (BLCM) to a large database of hospitalized patients with acute lower respiratory tract illness in Sa Kaeo and Nakhon Phanom provinces, Thailand from 2005 to 2010 with chest radiographs read by both a radiology panel and a clinician. We compared these estimates to those from conventional analysis. For children aged <5 years, estimated radiographically confirmed pneumonia incidence by BLCM was 2394/100 000 person-years (95% credible interval 2185–2574) vs. 1736/100 000 person-years (95% confidence interval 1706–1766) from conventional analysis. For persons aged ⩾5 years, estimated radiographically confirmed pneumonia incidence was similar between BLCM and conventional analysis (235 vs. 215/100 000 person-years). BLCM suggests the incidence of radiographically confirmed pneumonia in young children is substantially larger than estimated from the conventional approach using radiology panels as the reference standard.

Objectives: The aim of this study was to assess the costs and effects of using specialized breast technologists in prereading mammograms to reduce the increasing workload of radiologists in daily clinical practice. Mammography is the most widely used imaging modality for early detection and diagnosis of breast cancer.

Methods: A total of 1389 mammograms of consecutive patients were evaluated by two technologists trained in mammogram interpretation. The costs and effects of four different experimental strategies of prereading mammograms by technologists were analyzed by decision analytic modeling and compared with the conventional strategy of standard evaluation by the radiologist on duty.

Results: Overall, the employment of technologists in this patient population resulted in a potential time saving up to 73 percent (1019/1389) for the radiologist. No additional false-negative imaging results were found as compared to the conventional strategy. The total diagnostic costs in the conventional strategy were determined at €150,602. The experimental strategies resulted in cost savings up to 17.2 percent (range, €122,494–€139,781).

Conclusions: The employment of technologists in prereading mammograms in a clinical patient population could be effective to reduce the workload of radiologists without jeopardizing the detection of malignancies. Furthermore, diagnostic costs can be reduced considerably.