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Clinical Measurement

Authors
  • Axell, Richard G.
Type
Book
Journal
Clinical Engineering
Publication Date
Jan 01, 2014
Pages
211–217
Identifiers
DOI: 10.1016/B978-0-12-396961-3.00012-3
ISBN: 978-0-12-396961-3
Source
Elsevier
Keywords
License
Unknown

Abstract

Clinical measurement is fundamental to patient diagnostics, and good measurement equals good science. This chapter outlines the factors pertinent to good clinical measurement within a healthcare environment. The concept that a medical device can be precise but not accurate is explained, and that calibration against a traceable standard before use is crucial to accurate patient data interpretation. The concept that measurement error is a combination of human, systematic, and random errors summated is introduced. Measurement uncertainty is introduced, and the process of using Type I and Type II errors in hypothesis testing is described.

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