Enhancing anesthesia precision: integration of BIS monitoring in anesthesia machines
Abstract
The review examines the integration of Bispectral Index (BIS) monitoring into anesthesia machines, focusing on its fundamental principles, clinical applications, and technical nuances. BIS, a parameter derived from electroencephalogram (EEG) analysis, quantifies the hypnotic effects of anesthesia, providing an objective measure of the patient's neurological state. The integration enhances perioperative outcomes, improve patient safety, and optimize the administration of anesthetic drugs. This review highlights the challenges posed by variations in patient reactions to anesthetics and the limited effectiveness of traditional monitoring methods. BIS monitoring offers real-time evaluation and precise titration of anesthesia, reducing risks of over-sedation and insufficient anesthesia. Thereby reducing the risk of oversedation and insufficient anesthesia. It also mitigates anesthesia awareness, which is a rare but serious phenomenon. This review discusses the implementation and practice guidelines for BIS monitoring, emphasizing the need for thorough training of anesthesia practitioners. It also discusses the economic implications and cost-effectiveness of BIS monitoring, with potential benefits in optimizing anesthesia management. The ethical and legal considerations associated with BIS monitoring are also discussed, emphasizing its role in providing impartial evidence in disputes. The article concludes by positioning BIS monitoring as a standard of care in anesthesia and critical care settings, highlighting its pivotal development in anesthesia machines, including wireless connectivity.
Keywords: Anesthesia Machines; Anesthesia Precision; Awareness, Intraoperative; BIS Monitoring; Bispectral Index (BIS); Depth of Anesthesia; EEG Analysis; Perioperative Outcomes; Patient Safety; Surgical Precision
Citation: Zahid MA, Kumar V, Wadhwani J, Kumar A, Hasan MF, Saleh M. Enhancing anesthesia precision: integration of BIS monitoring in anesthesia machines. Anaesth. pain intensive care 2024;28(3):558−565; DOI: 10.35975/apic.v28i2.2481
Received: January 20, 2024; Reviewed: February 23, 2024; Accepted February 23, 2024
