OBJECTIVE This study sets out to identify, compare and evaluate the medication errors of a manual prescribing system and an electronic prescribing system during the prescription and transcription phases. METHOD A prospective study of two clinical in-patient units (pneumology and infectious diseases) in one general hospital. Two phases were studied; before and after an electronic prescribing s...

AIMS To develop a list of prescribing indicators specific for the hospital setting that would facilitate the prospective collection of high-severity and/or high-frequency prescribing errors, which are also amenable to electronic clinical decision support. METHODS A two-stage consensus technique (electronic Delphi) was carried out with 20 experts across England. Participants were asked to scor...

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 study tests for the presence ...

OBJECTIVE The underutilisation of venous thromboembolism (VTE) prophylaxis is still a problem in the UK despite the emergence of national guidelines and incentives to increase the number of patients undergoing VTE risk assessments. Our objective was to examine the reasons doctors gave for not prescribing enoxaparin when recommended by an electronic VTE risk assessment alert. DESIGN We used a ...