Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care.

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ID: 35881
2018
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Ranked #5 of 12 articles by views in amia annual symposium proceedings amia symposium

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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.
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collins2018quantifyingamia Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Collins, Sarah;Couture, Brittany;Kang, Min Jeoung;Dykes, Patricia;Schnock, Kumiko;Knaplund, Chris;Chang, Frank;Cato, Kenrick;
Journal amia annual symposium proceedings amia symposium
Year 2018
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