Ontology highlight
ABSTRACT: Background
As a result of the overwhelming proportion of medication errors occurring each year, there has been an increased focus on developing medication error prevention strategies. Recent advances in electronic health record (EHR) technologies allow institutions the opportunity to identify medication administration error events in real time through computerized algorithms. MED.Safe, a software package comprising medication discrepancy detection algorithms, was developed to meet this need by performing an automated comparison of medication orders to medication administration records (MARs). In order to demonstrate generalizability in other care settings, software such as this must be tested and validated in settings distinct from the development site.Objective
The purpose
SUBMITTER: Kirkendall E
PROVIDER: S-EPMC7744260 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature