Publications by authors named "J E Jelovsek"
Introduction And Hypothesis: The objective was to externally validate and recalibrate a previously developed model for predicting postoperative surgical-site infection (SSI) after pelvic organ prolapse (POP) surgery.
Methods: This study utilized a previously validated model for predicting post-POP surgery SSI within 90 days of surgery using a Medicare population. For this study, the model was externally validated and recalibrated using the Premier Healthcare Database (PHD) and the National Surgical Quality Improvement Project (NSQIP) database.
Article Synopsis
- - The Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) is starting a new study (LURN II) to investigate urinary urgency and incontinence by comparing cases and controls.
- - The study aims to improve the understanding of these difficult-to-treat symptoms by enhancing the phenotyping process.
- - The paper will discuss the reasons for this new research initiative and identify existing knowledge gaps related to the treatment of lower urinary tract symptoms, particularly urinary urgency.
Article Synopsis
- - Ectopic prostatic tissue in females is uncommon and may originate from remnants of male developmental structures or hormonal changes in areas like the uterus and Skene's gland.
- - This case study discusses a female patient with ectopic prostatic tissue found in a urethral diverticulum who had undergone testosterone hormone therapy.
- - The findings suggest that ectopic prostatic tissue could be a possible cause of anterior vaginal cysts, particularly in women receiving testosterone supplementation.
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.
J Am Med Inform Assoc
February 2024
Objective: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic technologies used in clinical care and operations by creating an Implementation Guide that standardizes evaluation criteria so that local oversight is performed in an objective fashion.
Materials And Methods: Building on a framework that applies key ethical and quality principles (clinical value and safety, fairness and equity, usability and adoption, transparency and accountability, and regulatory compliance), we created concrete guidelines for evaluating algorithmic technologies at our institution.