Interpretability of the audiogram by audiologists and physician non-specialists.

Objective: The audiogram is frequently used by hearing specialists communicate test results to non-specialists, such as physicians. However, it relies on uncommon terminology and interpreting unusual graphical elements to extract information. In this study, we examine whether the audiogram can be accurately interpreted by specialists and non-specialists.

A Modern Dilemma: How Experts Grapple with Ambiguous Genetic Test Results.

. Clinicians regularly use panel genetic testing to identify hereditary breast cancer risk, but this practice increases the rate of receiving an ambiguous test result, the variant of uncertain significance (VUS). VUS results are a growing and long-term challenge for providers and have caused negative patient outcomes.

Automated detection of wrong-drug prescribing errors.

Background: To assess the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data.

Setting: Urban, academic medical centre, comprising a 495-bed hospital and outpatient clinic running on the Cerner EHR. We extracted 8 years of medication orders and diagnostic claims.

A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial.

Background: The Northwestern University Center for Education and Research on Therapeutics (CERT), funded by the Agency for Healthcare Research and Quality, is one of seven such centers in the USA. The thematic focus of the Northwestern CERT is 'Tools for Optimizing Medication Safety.' Ensuring drug safety is essential, as many adults struggle to take medications, with estimates indicating that only half of adults take drugs as prescribed.

Indication alerts intercept drug name confusion errors during computerized entry of medication orders.

Background: Confusion between similar drug names is a common cause of potentially harmful medication errors. Interventions to prevent these errors at the point of prescribing have had limited success. The purpose of this study is to measure whether indication alerts at the time of computerized physician order entry (CPOE) can intercept drug name confusion errors.