| Literature DB >> 30815074 |
Sarah Collins1,2, Brittany Couture3, Min Jeoung Kang3,4, Patricia Dykes3,4, Kumiko Schnock3,4, Chris Knaplund2, Frank Chang3, Kenrick Cato2.
Abstract
Documentation burden is a well-documented problem within healthcare, and improvement requires understanding of the scope and depth of the problem across domains. In this study we quantified documentation burden within EHR flowsheets, which are primarily used by nurses to document assessments and interventions. We found mean rates of 633-689 manual flowsheet data entries per 12-hour shift in the ICU and 631-875 manual flowsheet data entries per 12-hour shift in acute care, excluding device data. Automated streaming of device data only accounted for 5-20% of flowsheet data entries across our sample. Reported rates averaged to a nurse documenting 1 data point every 0.82-1.14 minutes, despite only a minimum data-set of required documentation. Increased automated device integration and novel approaches to decrease data capture burden (e.g., voice recognition), may increase nurses' available time for interpretation, annotation, and synthesis of patient data while also further advancing the richness of information within patient records.Entities:
Mesh:
Year: 2018 PMID: 30815074 PMCID: PMC6371331
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076