Technology assessment of anesthesia monitors.
This essay argues that optimal utilization of anesthesia monitors requires careful technology assessment. This careful assessment is important because monitors may produce spurious or uninterpretable values, or they may damage patients. In addition, resources should be spent only for truly beneficial devices. The types of evidence that this essay describes for use in technology assessment include questions concerning data reliability, data interpretability, and data outcome. Considerable evidence bearing on technology assessment has already been amassed. I propose synthesizing this evidence by meta-analysis. Additional primary studies of technology assessment are also needed.
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Department of Anesthesiology, University of Utah, Salt Lake City 84132.
D000776:Anesthesiology / Q000295:instrumentation* / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D016343:Monitoring, Intraoperative / Q000295:instrumentation* / Q000706:statistics & numerical data; D012372:ROC Curve; D015203:Reproducibility of Results; D013673:Technology Assessment, Biomedical / Q000706:statistics & numerical data