BACKGROUND: On July 21, 2009, the Medical Council of India officially recognized the specialty of emergency medicine in India. The city of Chennai with over six and a half million people is the fourth largest on the subcontinent and has already been a prominent city of interest in the specialty's development. However, there is no standardization of the resources found in the city's emergency departments. This study was to survey the equipment, training, and certification of Chennai area emergency departments and their staff. METHODS: We conducted a cross-sectional survey of emergency department staff from 38 Chennai area hospitals. The survey instrument contained 44 questions pertaining to hospital demographics, staff training and certification, and ED equipment and supplies. The items on the survey were specifically chosen to represent only the most basic and common resources necessary to practise emergency medicine. RESULTS: The survey found a majority of hospitals are privately operated but there is a wide range in terms of size and volume of patients. A minority of both doctors and nurses are certified in BLS, ACLS, PALS, and ATLS. While almost all departments surveyed had the basic code medications, a number of basic equipment items were lacking from a large percentage of the EDs surveyed. CONCLUSION: The newly established EP community in Chennai will have the responsibility to establish standards for both training and resources so that the specialty may grow and provide a higher standard of emergency care moving into the future.

BACKGROUND: This study was undertaken to identify the prevalence of pulmonary embolism (PE) in the emergency department (ED) of an urban teaching hospital and also to test a Bayesian model in estimating the number of CT pulmonary angiography (CTA) expected to be performed in an emergency department. METHODS: The data for this study was obtained through a retrospective review of electronic medical records for all ED patients suspected of PE who underwent chest CTA or ventilation perfusion scanning (V/Q) between 2009 and 2010. The data is presented as means and standard deviation for continuous variables and percentages with 95％ confidence intervals (95％CI) for proportions. The prevalence of PE was used as pre-test probability in the Bayesian model. Post-test probability was obtained using a Fagan nomogram and likelihood ratios for CTA. RESULTS: A total of 778 patients (560 females) with mean age of 50 years (range 18–98 years) were enrolled (98.3％ underwent chest CTA and 1.7％ underwent V/Q scan). A total of 69 patients had PE, rendering an overall prevalence of 8.9％ (95％CI, 7.1％ to 11.1％) for PE. We calculated that 132 CTA's per year could be avoided in our institution, without compromising safe exclusions of PE (keeping post-test probability of PE below 2％). CONCLUSIONS: Despite differences in our patient populations and /or study designs, the prevalence of PE in our institution is about average compared to other institutions. Our proposed model for calculating redundant chest CTA is simple and can be used by institutions to identify overuse of CTA.