Recommendations of Enhanced Recovery Interventions for Patient's Clinical Team and Collection of Associated Data

Overview

This REMAP Periop ERP domain study falls under the Periop Core Protocol, which compares the different recommended strategies for enhancing recovery through the use of various standard of care treatments before, during and after surgery in all patients with elective surgical encounters at UPMC who meet eligibility criteria. The ERP domain seeks to enhance recovery by optimizing strategies of perioperative care through evaluating combinations of perioperative treatment, which consists of preoperative, intraoperative and postoperative care. Optimal combinations of perioperative care will be generated and analyzed to determine the best outcomes for patients as defined by reduction in hospital free days, reduction in postoperative nausea and vomiting, and improved pain control.

The Periop Core Protocol is an administration structure designed to provide appropriate management of all aspects of the study, taking into account multiple factors including representation from clinics and hospitals that are participating in the trial, availability of skills and expertise related to trial conduct and statistical analysis, and content knowledge regarding acute illness, elective surgery, and the interventions that are being evaluated. Eligible patients will be randomized to a recommended set of standard of care treatments related to their surgery to identify those that improve outcomes as defined by hospital free days at 30 days from the date of the surgical encounter. The administration model is designed to provide effective operational and strategic management of the REMAP that operates in multiple UPMC facilities, is supported by multiple funding bodies and sponsors, and will evolve with addition of domains and interventions that are being evaluated. The ERP domain under the Periop Core Protocol will evaluate the varying recommended combinations of perioperative treatments, in hopes to determine the optimal strategies for perioperative care based on surgery type and patient specific factors. In this study, patient care components within the preoperative, perioperative, and postoperative domains will be randomized with a machine learning REMAP technique. Optimal strategies combining the entire perioperative process will be analyzed that determine best outcomes for patients including hospital free days, reductions in postoperative nausea and vomiting, and improved pain control.