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ABSTRACT: Background
Medication errors are the leading cause of preventable harm in healthcare. Despite proliferation of medication-related clinical decision support systems (CDSS), current systems have limitations. We therefore developed an indication-based prescribing tool. This performs dose calculations using an underlying formulary and provides patient-specific dosing recommendations. Objectives were to compare the incidence and types of erroneous medication orders, time to prescribe (TTP) and perceived workload using the NASA Task Load Index (TLX), in simulated prescribing tasks with and without this intervention. We also sought to identify the workflow steps most vulnerable to error and to gain participant feedback.Methods
A simulated, randomised, cross-over exploratory study
SUBMITTER: Feather C
PROVIDER: S-EPMC12573381 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature