Journal of clinical monitoring and computing
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J Clin Monit Comput · Jan 1999
Comparative StudyComparison of statistical methods to predict the time to complete a series of surgical cases.
We present a statistical model for predicting the time to complete a series of successive, elective surgical cases. The use of sample means of case times and turnover times when scheduling cases does not minimize the operating room labor costs associated with errors in predicting times to complete series of cases. ⋯ The independent variables are the numbers of cases in each series that are in various categories (i.e., combinations of scheduled procedures and surgeons). Although the computational method is preferred on theoretical grounds to that involving sample means, application of both methods shows that the more practical method is to use the sample means of previous case times and turnovers.
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J Clin Monit Comput · Jan 1999
Clinical investigation of a new combined pulse oximetry and carbon dioxide tension sensor in adult anaesthesia.
To test the accuracy of a new combined oxygen saturation and cutaneous carbon dioxide tension (SPO2-PCO2) sensor in a routine adult clinical environment. This probe provides a non-invasive and continuous monitoring of the arterial oxyhaemoglobin saturation, arterial carbon dioxide tension and pulse rate at the ear lobe. The sensor is intended to measure both relevant respiration/ventilation parameters in one single probe. ⋯ During general anaesthesia, postoperative recovery and critical care treatment, both monitoring of oxygenation and ventilation is important. Since pulse oximetry estimates only arterial oxygen saturation, periodic blood sampling is still necessary to determine the patient's arterial carbon dioxide status. We could demonstrate that the difference between cutaneous and arterial PCO2 was clinically unimportant, and therefore we conclude that the two methods of estimating the patient's carbon dioxide status may be used interchangeably. Our results demonstrated that 3 min after sensor placement, the new SpO2-PCO2 sensor prototype proved to be a reliable tool for continuous non-invasive monitoring of oxygenation and ventilation.
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Intensive care and operating room monitors generate data that are not fully utilized. False alarms are so frequent that attending personnel tends to disconnect them. We developed an expert system that could select and validate alarms by integration of seven vital signs monitored on-line from cardiac surgical patients. ⋯ Integration of information from several sources improved the reliability of alarms and markedly decreased the frequency of false alarms. Fuzzy logic may become a powerful tool for integration of physiological data.
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J Clin Monit Comput · Jan 1999
A graphical object display improves anesthesiologists' performance on a simulated diagnostic task.
This study tests the hypothesis that a graphical object display (a data display consisting of meaningful shapes) will affect the ability of anesthesiologists to perform a diagnostic task rapidly and correctly. The diagnostic tasks studied were recognition and differentiation of five etiologies of shock--anaphylaxis, bradycardia, myocardial ischemia, hypovolemia, pulmonary embolus. ⋯ The primary finding of this study was that anesthesiologists using the object display format committed significantly fewer diagnostic errors when interpreting physiologic data. In addition, both the recognition of no-shock and the diagnosis of shock etiology were completed more rapidly when the object display was used. The major limitation of this initial trial is the simplicity of the test. Future investigation of the impact of the display on clinical decision making will require more realistic clinical scenarios with partial or full simulation to better understand the potential clinical impact.
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The creation of agent mixtures from the addition of the wrong agent to a vaporizer might pose a risk to the patient. Patient injury would be more likely if the anesthesia gas monitor displayed erroneous concentration values. Conventional inhalation agent monitors do not necessarily distinguish anesthetic agents. ⋯ Patient injury could be more likely in this last case. In this last case and in all cases, piezoelectric crystal monitoring correctly displayed the sum of the two agent concentrations in volumes percent. Automatic agent identification can identify erroneous agents.