Background: Expansion of clinical guidance tools is crucial to identify patients at risk of requiring an opioid refill after outpatient surgery.
Objective: The objective of this study was to develop machine learning algorithms incorporating pain and opioid features to predict the need for outpatient opioid refills following ambulatory surgery.
Methods: Neural networks, regression, random forest, and a support vector machine were used to evaluate the data set.
Background: Preoperative medical evaluation serves to identify risk factors and optimize patients before surgery. Providing a telehealth option in the perioperative setting has played a significant role in reducing barriers to quality perioperative health care.
Objective: We aimed to evaluate how telemedicine preoperative evaluations using Clinical Video Telehealth (CVT) impact hospital length of stay.
Background: Regional anesthetic techniques have become increasingly used for the purpose of pain management following mastectomy. Although a variety of beneficial techniques have been described, the delivery of regional anesthesia following mastectomy has yet to be examined for racial or ethnic disparities. We aimed to examine the association of race and ethnicity on the delivery of regional anesthesia in patients undergoing surgical mastectomy using a large national database.
View Article and Find Full Text PDFReg Anesth Pain Med
September 2020
Background: Regional anesthesia is becoming increasingly used for analgesia in clavicular surgery. The purpose of the study is to examine same-day discharge and readmissions in patients with clavicular fractures receiving open reduction and internal fixation, comparing those who received regional anesthesia to those that did not.
Methods: The National Surgical Quality Improvement Program registry was used to build a retrospective cohort with the primary and secondary outcomes of same-day discharge and readmission rates, respectively.