Publications by authors named "Xiomara T Gonzalez"
Objectives: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assessed general public and surgical patient attitudes and perspectives on ML-CDSS use in perioperative care.
Materials And Methods: A sequential explanatory study was conducted.
Article Synopsis
- A systematic review was conducted to evaluate the effectiveness of machine learning (ML)-driven interventions in improving perioperative outcomes in surgical patients through analysis of randomized controlled trials (RCTs).
- The review included 13 studies focusing on three types of ML interventions: Hypotension Prediction Index (HPI), Nociception Level Index (NoL), and a scheduling system, identifying specific outcomes such as hypotension and pain management.
- Results showed that while HPI significantly reduced intraoperative hypotension and NoL lowered postoperative pain scores, there were no notable differences in other outcomes like opioid consumption or hospital stay, indicating gaps that need to be addressed for better implementation of ML interventions in clinical practice.
What Does "Dr. Google" Show Patients Searching for Breast Reconstruction Outcomes Photographs?
Plast Reconstr Surg Glob Open
May 2022
Unlabelled: Many women with breast cancer search the internet for photographs of their potential reconstruction outcomes, but little is known about the quality, variety, and relevance of images patients are viewing.
Methods: Breast reconstruction outcome photographs identified by a Google Images search were assessed based on the American Society of Plastic Surgeons/Plastic Surgery Foundation photographic guidelines. Information such as source metadata, breast reconstruction procedure information, and subject demographics was collected from the photographs.