Patient Monitoring and Anesthetic Management

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Abstract
Many ill-defined but significant factors relating to the anesthetized patient enter into therapeutic and diagnostic decisions governing his care. These factors have not yet been reduced to structured statements or formulas to provide answers which the clinician can accept with confidence. However, a physiological communication network consisting of an automatic transducer system and a digital computer is now being used to accumulate and present accurate, timely physiological data to the surgical team for immediate use in clinical decision-making. These data are also stored in a format which allows easy retrieval for later study of clinical cause and effect. Modern concepts of mathematics, statistics, and technology are being used to reduce these data to computer-solvable, structured statements or models which relate clinical events to physiological variations. These models may be used for making decisions in the clinic and as tools for testing biological theories.

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