JONA The Journal of Nursing Administration · 2014 · 16 citations · 18 references
NursingHealth InformaticsNursing InformaticsClinical InformaticsElectronic Health RecordsHealthcare Quality ImprovementHealth Care Performance MeasurementHealthcare Performance MeasurementImplementation AssessmentQuality Improvement In ImplementationSurvey ProcessesUsability In Clinical SystemsContent Validity AssessmentContent Validity EvidenceEhr System ImplementationEnd-user ExperienceHealth Record UsabilityInternal Consistency ReliabilityPilot Study DesignPilot Study Sample Size
OBJECTIVE: The aim of this study was to develop a survey tool to assess electronic health record (EHR) implementation to guide improvement initiatives. BACKGROUND: Survey tools are needed for ongoing improvement and have not been developed for aspects of EHR implementation. METHODS: The Baylor EHR User Experience (UX) survey was developed to capture 5 concept domains: training and competency, usability, infrastructure, usefulness, and end-user support. Validation efforts included content validity assessment, a pilot study, and analysis of 606 nurse respondents. The revised tool was sent to randomly sampled EHR nurse-users in 11 acute care facilities. RESULTS: A total of 1,301 nurses responded (37%). Internal consistency of the survey tool was excellent (Cronbach's α = .892). Survey responses including 1,819 open comments were used to identify and prioritize improvement efforts in areas such as education, support, optimization of EHR functions, and vendor change requests. CONCLUSION: The Baylor EHR UX survey was a valid tool that can be useful for prioritizing improvement efforts in relation to EHR implementation.
18
M. I. Harrison, Ross Koppel, Shirly Bar‐Lev · Journal of the American Medical Informatics Association · 2007 · 690 citations · Full text
Blackford Middleton, Meryl Bloomrosen, Mark A. Dente et al. · Journal of the American Medical Informatics Association · 2013 · 627 citations · Full text
Implementation of Physician Order Entry: User Satisfaction and Self-Reported usage Patterns
F. Lee, Jonathan M. Teich, Cynthia Spurr et al. · Journal of the American Medical Informatics Association · 1996 · 261 citations · Full text
Health Professions, Health Administration, Healthcare Information Systems +15