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Download Computers in Critical Care and Pulmonary Medicine by K. Geiger (auth.), Priv.-Doz. Dr. Peter Michael Osswald PDF

By K. Geiger (auth.), Priv.-Doz. Dr. Peter Michael Osswald (eds.)

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Extra info for Computers in Critical Care and Pulmonary Medicine

Sample text

Noyes, Park Ridge Ream AK, Robinson DJ, Nelson PE, Portner PM, Oyer PE (1983) A computer operating system for patient monitoring. Proc 2nd Int. : computing in anesthesia and intensive care, Rotterdam, p 28 Sarnat AJ (1983) Computerized speech recognition for anesthesia record-keeping. Med lnstrum 17(1): 25-27 Saunders RJ, Jewett WR (1983) System integration - the need in future anesthesia delivery systems. Med Instrum 17(6): 389-392 Trispel S, Klocke H, Guenther K, Rau G (1982) Operation simulation for the evaluation and improvement of a medical information system.

This in spite of the fact that the mission called "anesthesia" is hazardous and demanding, that decision-making processes take place under time constraints and psychological stress, and that uncertainty in respect of a multitude of variables is ever-present (measurement reliability, patient state predictability, medical knowledge and experience, instrument control). Contrary to the airplane pilot, the anesthesiologist primarily has his hands and eyes on the patient - a human being - and not machinery.

In this manner the STATS command, which computes up two twenty measures associated with a normal distribution, was conceived and developed in the late 1960s on the author's desktop calculators in the Clinical Research Center at the Boston City Hospital, and later incorporated in an amplified form on PROPHET. Very soon the same thinking was applied to the complex and (for most nonstatistically trained analysts) perplexing task of comparing samples (distribution comparison). It was evident that the comparison process could be reduced to a decision tree and implemented by a suitable interactive quiz requiring the user to response yes (Y), no (N) or undecided (U), or with specific information concerning the distribution properties of the data and the experimental design.

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