The technology acceptance model: predicting nurses' intention to use telemedicine technology (eICU)

Comput Inform Nurs. 2011 Jul;29(7):411-8. doi: 10.1097/NCN.0b013e3181f9dd4a.


The purposes of this study were to determine factors and predictors that influence nurses' intention to use the eICU technology, to examine the applicability of the Technology Acceptance Model in explaining nurses' intention to use the eICU technology in healthcare settings, and to provide psychometric evidence of the measurement scales used in the study. The study involved 117 participants from two healthcare systems. The Telemedicine Technology Acceptance Model was developed based on the original Technology Acceptance Model that was initially developed by Fred Davis in 1986. The eICU Acceptance Survey was used as an instrument for the study. Content validity was examined, and the reliability of the instrument was tested. The results show that perceived usefulness is the most influential factor that influences nurses' intention to use the eICU technology. The principal factors that influence perceived usefulness are perceived ease of use, support from physicians, and years working in the hospital. The model fit was reasonably adequate and able to explain 58% of the variance (R = 0.58) in intention to use the eICU technology with the nursing sample.

MeSH terms

  • Attitude of Health Personnel*
  • Biomedical Technology
  • Humans
  • Intensive Care Units
  • Intention*
  • Models, Psychological
  • Nursing Staff, Hospital / psychology*
  • Telemedicine / statistics & numerical data*