Safety considerations with the current ambulatory trends: More complicated procedures and more complicated patients

• Published in: Korean journal of anesthesiology 2023-10, Vol.76 (5), p.400-412
• Main Authors: Young, Steven, Osman, Brian, Shapiro, Fred E
• Format: Article
• Language: English
• Subjects: ambulatory care facilities; health care costs; health care sector; patient safety; patient selection; physicians’ offices; Review
• ISSN: 2005-6419; 2005-7563
• DOI: 10.4097/kja.23078

In the last quarter of a century, the backdrop of appropriate ambulatory and office-based surgeries has changed dramatically. Procedures that were traditionally were done in hospitals or patients being admitted after surgery are migrating to the outpatient setting and being discharged on the same day, respectively, at a remarkable rate. In the face of this exponential growth, anesthesiologists are constantly being challenged to maintain patient safety by understanding the appropriate patient selection, procedure, and surgical location. Recently published literature supports the trend of higher more medically complex patients and more complicated procedures shifting towards the outpatient arena. Several reasons that may account for this include cost incentives, advancement in anesthesia techniques, enhanced recovery after surgery protocols, and increased patient satisfaction. Anesthesiologists must understand that there is a lack of standardized state regulations regarding ambulatory surgery centers and office-based surgery sites. Current and recently graduated anesthesiologists, should be aware of the safety concerns related to the various non-hospital-based locations, the sustained growth and demand for anesthesia in the office, and the expansion of mobile anesthesia practices around the US in order to keep up and practice safely with the professional trends. Continuing procedural ambulatory shifts will require ongoing outcomes research, likely prospective in nature, on these novel outpatient procedures, in order to develop risk stratification and prediction models for the selection of the proper patient, procedure, and surgery location.