ABSTRACT
BACKGROUND AND PURPOSE: Using remote visual monitoring (RVM) technology to observe patients at high risk for falls can effectively reduce falls and sitter costs. However, RVM is underutilized by direct care nurses. This study describes the development and testing of a new tool to measure nurses' acceptance of RVM technology. METHODS: The RVM Acceptance Tool (RVMAT) was tested among nurses recruited from a large health system. RESULTS: Three factors accounted for 70.38% of the total variance: Value, Patient Selection, and Availability and Intent to Use. The overall 25-item scale had good internal consistency (Cronbach's alpha = .98). CONCLUSION: The RVMAT is a theoretically grounded, valid, and reliable tool. Further research is needed to test its use in predicting nurses' acceptance and intent to incorporate new technology into daily nursing care.
Subject(s)
Accident Prevention/methods , Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/methods , Monitoring, Physiologic/psychology , Nursing Care/methods , Nursing Staff, Hospital/psychology , Video Recording/methods , Adult , Attitude to Computers , Female , Humans , Male , Middle Aged , Nursing Care/psychology , Psychometrics/standards , Reproducibility of Results , Surveys and Questionnaires/standardsABSTRACT
Owl ( www.owlcad.org ) is a biodesign automation tool that generates electronic datasheets for synthetic biological parts using common formatting. Data can be retrieved automatically from existing repositories and modified in the Owl user interface (UI). Owl uses the data to generate an HTML page with standard typesetting that can be saved as a PDF file. Here we present the Owl software tool in its alpha version, its current UI, its description of input data for generating a datasheet, its example datasheets, and the vision of the tool's role in biodesign automation.
