Coiera E, Kocaballi AB, Halamka J, Laranjo L. The digital scribe. npj Digital Medicine. 2018; 1(1):58.

Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical documentation task currently conducted by humans. Whilst in their infancy, digital

Lyell D, Magrabi F, Raban MZ, Pont LG, Baysari MT, Day RO, Coiera E: Automation bias in electronic prescribing. BMC Medical Informatics and Decision Making 2017, 17(1):28.

BACKGROUND: Clinical decision support (CDS) in e-prescribing can improve safety by alerting potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users over-rely on CDS, reducing vigilance in information seeking and processing. Evidence of AB has been found in other clinical tasks, but has not yet been tested with e-prescribing. This