Graduation Year
2015
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Nursing
Major Professor
John Clochesy, Ph.D., R.N.
Committee Member
Mo Modarres, Ph.D.
Committee Member
Melanie Michael, D.N.P., Ph.D.
Committee Member
Keith Weeks, Ph.D., R.N.
Committee Member
Ming Ji, Ph.D.
Keywords
EEG, Electronic Health Record, Technology, Acute Care, Multi-task
Abstract
Over 4 million avoidable hospital admissions result from medication errors (IMS Insitute for Healthcare Informatics, 2013). Human error accounts for 80% of all medical errors (Palmieri, DeLucia, Peterson, Ott, & Green, 2008). Medication administration is a complex process. It is important to understand the cognitive load (CL) of Registered Nurses (RNs) working in an electronic health record environment to identify the risk factors of medication errors. The purpose of this study is to investigate the factors that influence the CL of RNs during medication administration who are working in an electronic health record environment. Simulated medication administration scenarios with varying degrees of multi-tasking were completed with 30 participants. When RNs multi-task during medication administration their CL increases. Furthermore, RNs who have poor sleep quality cannot process high-level tasks as well as those RNs who report a good sleep quality. Future work can limit EEG lead placement to the frontal channels of the EEG. Furthermore, replication of this study with a larger sample and a broader range of competing tasks is indicated.
Scholar Commons Citation
Perron, Sarah Faith, "Cognitive Load of Registered Nurses During Medication Administration" (2015). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/6013