Abstract
Medical errors have been developed as a serious issue in healthcare delivery. There has been new interest in human factors as a means of reducing these errors. Human factors are considered as important contributors to critical error incidents and crises of anesthesia. Some of these errors can be identified as serious medical errors during the delivery of anesthesia. Feasibility of closed-loop anesthesia has been shown enormous results in reducing these errors. This paper considers general anesthesia algorithm for closed-loop propofol anesthesia, based on Schinder-based pharmacokinetic (PK) and pharmacodynamics (PD) model. Simulation scenarios are evaluated for the checking induction and maintenance phase for two different scenarios. These scenarios are the realistic situations encountered in clinical practice. Using the proposed scenarios, closed-loop automatic delivery system is developed for propofol infusion. Many attempts have been incorporated for the automation of drug delivery system to make it to successful, but failures are occurring due to complexity involved in the anesthesia practice. So incorporating as many scenarios as much to the system will improve the performance of the system.
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UshaRani, S. (2022). Evaluation of Propofol General Anesthesia Intravenous Algorithm for Closed-Loop Drug Delivery System. In: Raje, R.R., Hussain, F., Kannan, R.J. (eds) Artificial Intelligence and Technologies. Lecture Notes in Electrical Engineering, vol 806. Springer, Singapore. https://doi.org/10.1007/978-981-16-6448-9_22
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DOI: https://doi.org/10.1007/978-981-16-6448-9_22
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