A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients.

Post-acute sequelae of SARS CoV-2 (PASC) are a group of conditions in which patients previously infected with COVID-19 experience symptoms weeks/months post-infection. PASC has substantial societal burden, including increased healthcare costs and disabilities. This study presents a natural language processing (NLP) based pipeline for identification of PASC symptoms and demonstrates its ability to estimate the proportion of suspected PASC cases.

Electronically Triggered Sepsis Alert in Non-Intensive Care Inpatients Using Modified Systemic Inflammatory Response Syndrome Criteria: A Retrospective Observational Study with In-Depth Analysis of Surgical Patients.

Our center initiated an electronic Sepsis Best Practice Alert (sBPA) protocol to aid in early sepsis detection and treatment. However, surgery alters peri-operative physiology, which may trigger an sBPA for noninfectious causes. This study aimed to provide early evaluation of automated sBPA utility in surgical patients.

Single-setting endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy improve the rate of surgical site infection.

Introduction: Cholecystectomy is a common surgical procedure. The presence of common bile duct stones complicates treatment, often requiring a second procedure for stone retrieval. For such patients, endoscopic retrograde cholangiopancreatography (ERCP) provides adequate therapy, and can be performed before, after, or at the same time as cholecystectomy.

Abdominal Hysterectomy: Reduced Risk of Surgical Site Infection Associated with Robotic and Laparoscopic Technique.

Background: Hysterectomy is one of the most common procedures performed in the United States. New techniques utilizing laparoscopic and robotic technology are becoming increasingly common. It is unknown if these minimally invasive surgical techniques alter the risk of surgical site infections (SSI).