Titlebook: Computing and Monitoring in Anesthesia and Intensive Care; Recent Technological Kazuyuki Ikeda (Professor and Chairman),Matsuyuki Conferen

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https://doi.org/10.1007/978-1-349-20224-9mating some controls, and in reducing the cognitive load on the anesthesiologist. By addressing these components of the monitoring and decision tasks of the anesthesiologist it is assumed that direct benefit would accrue to the patient by improving the quality, reliability or speed of decision-makin

包裹

https://doi.org/10.1007/978-1-349-20224-9t (ICU) patient data management systems (PDMS) on this basis alone. The real benefit of an integrated HIS or PDMS is in decision support. We recently went to the bedside of a critically ill patient and counted the current information categories (not repeated measures) that were reviewed for physicia

抗原

https://doi.org/10.1007/978-1-349-20224-9he clinician to prevent any ill effects from occuring to the patient. In the United States of America, most operating rooms are equipped with arrays of non-integrated individual monitors which have high number of non-specific and false alarms, and can be annoying and distracting to clinicians. These

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https://doi.org/10.1007/978-1-349-20224-9operation. The alarmer had been executed on two PC/ATs and programmed to notify of four pathological states: hypovolemic state, hyperdynamic state, left ventricular failure or hypoventilatory state. Fourteen of the 32 alarms given during 37.2 hours of monitoring were considered correct. The observed

奇怪

https://doi.org/10.1007/978-1-349-20224-9, are experts’ . oriented. There is a wide gap between know-what approaches and know- how ones. While know- how approaches are represented as ., know-what ones require .. In medical sciences, this deep knowledge is represented as physiological models.

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