Ontology highlight
ABSTRACT: Background
Emergency medicine is characterized by a high patient flow where timely decisions are essential. Clinical decision support systems have the potential to assist in such decisions but will be dependent on the data quality in electronic health records which often is inadequate. This study explores the effect of automated documentation of vital signs on data quality and workload.Methods
An observational study of 200 vital sign measurements was performed to evaluate the effects of manual vs automatic documentation on data quality. Data collection using questionnaires was performed to compare the workload on wards using manual or automatic documentation.Results
In the automated documentation time to documentation was reduced by 6.1 min (0.6 min vs 7.7 min, p <
SUBMITTER: Skyttberg N
PROVIDER: S-EPMC6293611 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature