Healthcare IT News September 30, 2022
Investigators used natural language processing and deep learning to explore the prevalence of patient information duplicated from prior notes in medical records.
A new health informatics study found that clinical care documentation results in a high prevalence of text duplication and that systemic hazards require systemic interventions to fix.
WHY IT MATTERS
Earlier this year, a team led by researchers from the University of Pennsylvania Perelman School of Medicine in Philadelphia used artificial intelligence to analyze all inpatient and outpatient notes written within the UPenn Health System from January 1, 2015, through December 31, 2020.
The investigators quantified the text duplicated from a different author versus text copied from the same author to find out how much duplication is present in...