Current opinion in anaesthesiology
-
We review current evidence about organizational structures, patient selection criteria, safety measures, economic considerations, quality management, and staffing challenges in ambulatory anesthesia. The focus is on the facilitators and barriers related to the peri-interventional period and the potential concepts and innovations for the future development of ambulatory anesthesia services. ⋯ Ambulatory anesthesia is gaining importance due to advancements in surgical techniques and peri-interventional care. The review highlights the need for addressing challenges related to organizational structures, patient selection, patient safety, economic considerations, quality management, and staffing in ambulatory anesthesia. Understanding and addressing these factors are crucial for promoting the further development and improvement of ambulatory anesthesia services.
-
Quality indicators are used to monitor the quality and safety of care in ambulatory surgery, a specialty in which major morbidity and mortality remain low. As the demand for safe and cost-effective ambulatory surgical care continues to increase, quality indicators and metrics are becoming critical tools used to provide optimal care for these patients. ⋯ Quality indicators will continue to play a growing role in the monitoring of quality and safety in ambulatory surgery, especially with the trend towards value-based reimbursement models and efficient, cost-effective surgical care. Additionally, quality indicators are useful tools to monitor postoperative patient outcomes and recovery pathways and the efficiency of operating room utilization and scheduling.
-
Curr Opin Anaesthesiol · Dec 2023
ReviewThe future of postoperative vital sign monitoring in general wards: improving patient safety through continuous artificial intelligence-enabled alert formation and reduction.
Monitoring of vital signs at the general ward with continuous assessments aided by artificial intelligence (AI) is increasingly being explored in the clinical setting. This review aims to describe current evidence for continuous vital sign monitoring (CVSM) with AI-based alerts - from sensor technology, through alert reduction, impact on complications, and to user-experience during implementation. ⋯ The current evidence for AI-aided CSVM suggest a significant role for the technology in reducing the constant 10-30% in-hospital risk of severe postoperative complications. However, large, randomized trials documenting the benefit for patient improvements are still sparse. And the clinical uptake of explainable AI to improve implementation needs investigation.
-
Curr Opin Anaesthesiol · Dec 2023
ReviewThe nuts and bolts of multimodal anaesthesia in the 21st century: a primer for clinicians.
This review article explores the application of multimodal anaesthesia in general anaesthesia, particularly in conjunction with locoregional anaesthesia, specifically focusing on the importance of EEG monitoring. We provide an evidence-based guide for implementing multimodal anaesthesia, encompassing drug combinations, dosages, and EEG monitoring techniques, to ensure reliable intraoperative anaesthesia while minimizing adverse effects and improving patient outcomes. ⋯ The integration of EEG monitoring is crucial for guiding adequate multimodal anaesthesia and preventing excessive anaesthesia dosing. Furthermore, the review investigates the impact of combining regional and opioid-sparing general anaesthesia on perioperative EEG readings and anaesthetic depth. The findings have significant implications for clinical practice in optimizing multimodal anaesthesia techniques (Supplementary Digital Content 1: Video Abstract, http://links.lww.com/COAN/A96 ).
-
Curr Opin Anaesthesiol · Dec 2023
ReviewDecision-making in anesthesiology: will artificial intelligence make intraoperative care safer?
This article explores the impact of recent applications of artificial intelligence on clinical anesthesiologists' decision-making. ⋯ To fully realize the benefits of artificial intelligence in anesthesiology, several important considerations must be addressed, including its usability and workflow integration, appropriate level of trust placed on artificial intelligence, its impact on decision-making, the potential de-skilling of practitioners, and issues of accountability. Further research is needed to enhance anesthesiologists' clinical decision-making in collaboration with artificial intelligence.