Journal of clinical monitoring and computing
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J Clin Monit Comput · Apr 2015
Observational StudyThe implementation of an Intensive Care Information System allows shortening the ICU length of stay.
Intensive care information systems (ICIS) implemented in intensive care unit (ICU) were shown to improve patient safety, reduce medical errors and increase the time devolved by medical/nursing staff to patients care. Data on the real impact of ICIS on patient outcome are scarce. This study aimed to evaluate the effects of ICIS on the outcome of critically-ill patients. ⋯ We compared standard ICU patient's outcomes: mortality, length of stay in ICU, hospital stay, and the re-admission rate depending upon BEFORE and AFTER. Although patients admitted AFTER were more severely ill than those of BEFORE (SAPS II: 32.1±17.5 vs. 30.5±18.5, p=0.014, respectively), their ICU length of stay was significantly shorter (8.4±15.2 vs. 6.8±12.9 days; p=0.048) while the re-admission rate and mortality rate were similar (4.4 vs. 4.2%; p=0.86, and 9.6 vs 11.2% p=0.35, respectively) in patients admitted AFTER. We observed that the implementation of ICIS allowed shortening of ICU length of stay without altering other patient outcomes.
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Anaesthesia is a multivariable problem where a combination of drugs are used to induce desired hypnotic, analgesia and immobility states. The automation of anaesthesia may improve the safety and cost-effectiveness of anaesthesia. ⋯ In this paper, several significant challenges in automation of anaesthesia are discussed, namely model uncertainty, controlled variables, closed-loop application and dependability. The increasingly reliable measurement device, robust and adaptive controller, and better fault tolerance strategy are paving the way for automation of anaesthesia.