Federal investment in health information technology has incentivized the adoption of electronic health record systems by physicians and health care organizations; the result has been a massive rise in the collection of patient data in electronic form (i.e. "Big Data"). Health care systems have leveraged Big Data for quality and performance improvements using analytics-the systematic use of data combined with quantitative as well as qualitative analysis to make decisions. Analytics have been utilized in various aspects of health care including predictive risk assessment, clinical decision support, home health monitoring, finance, and resource allocation. Visual analytics is one example of an analytics technique with an array of health care and research applications that are well described in the literature. The proliferation of Big Data and analytics in health care has spawned a growing demand for clinical informatics professionals who can bridge the gap between the medical and information sciences.

An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists' frequency of selecting the 'cancel' option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts.

IMPORTANCE Ibuprofen used in postoperative management of pain after tonsillectomy has not been shown to increase the overall risk for posttonsillectomy hemorrhage (PTH). The severity of bleeding is difficult to quantify but may be a more important outcome to measure. OBJECTIVE To evaluate the association between ibuprofen use and severity of PTH using transfusion events as a marker of severity. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study identified 8868 patients who underwent tonsillectomy from January 20, 2011, through June 30, 2014, at the tertiary academic Children's Hospital of Philadelphia. Of these patients, 6710 met the inclusion criteria. Data were collected using electronic database acquisition and query. MAIN OUTCOMES AND MEASURES Multivariate analysis was performed to identify independent prognostic factors for PTH and receipt of transfusion. RESULTS Of the 6710 patients who met criteria for analysis (3454 male [51.5%] and 3256 female [48.5%]; median age, 5.4 years [interquartile range, 3.7-8.2 years]), 222 (3.3%) presented with PTH that required surgical control (sPTH). A total of 15 of the 8868 patients required transfusion for an overall risk for transfusion after tonsillectomy of 0.2%. Fifteen of 222 patients undergoing sPTH (6.8%) received transfusions. No significant independent increased risk for sPTH was associated with use of ibuprofen (adjusted odds ratio [OR], 0.90; 95% CI, 0.68-1.19). A significant independent association was found in the risk for sPTH in patients 12 years or older (adjusted OR, 2.74; 95% CI, 1.99-3.76) and in patients with a history of recurrent tonsillitis (adjusted OR, 1.52; 95% CI, 1.12-2.06). When using transfusion rates as a surrogate for severity of sPTH, transfusion increased by more than 3-fold among ibuprofen users compared with nonusers (adjusted OR, 3.16; 95% CI, 1.01-9.91), and the upper limit of the 95% CI suggests the difference could be nearly 10 times greater. CONCLUSIONS AND RELEVANCE The risk for sPTH is not increased with use of postoperative ibuprofen but is increased in patients 12 years or older and patients undergoing tonsillectomy with a history of recurrent tonsillitis. Hemorrhage severity is significantly increased with ibuprofen use when using transfusion rate as a surrogate marker for severity.

Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement. Analytics--the systematic use of data combined with quantitative and qualitative analysis to make decisions--can be applied to big data for quality and performance improvements, such as predictive risk assessment, clinical decision support, and resource management. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it can facilitate performance of cognitive activities involving big data. Ongoing integration of big data and analytics within anaesthesia and health care will increase demand for anaesthesia professionals who are well versed in both the medical and the information sciences.

An e-antibiogram that was built and is updated using EHR data and adheres to national guidelines is a feasible replacement for an annual, static, manually compiled antibiogram. Future research will examine the impact of the e-antibiogram on antibiotic prescribing patterns.