In Vitro and In Vivo Testing of Microbe Growth on Antimicrobial Nursing Scrubs.

Around 5% to 10% of hospitalized patients develop a hospital-acquired infection (HAI). Scrubs are a potential vector of HAIs. To compare the antimicrobial characteristics of scrubs with and without an antimicrobial fabric coating, as tested in the laboratory (in vitro) and hospital (in vivo) environments.

Predicting the Onset of Sepsis Using Vital Signs Data: A Machine Learning Approach.

Sepsis is a major cause of mortality among hospitalized patients. Existing sepsis prediction methods face limitations due to their reliance on laboratory results and Electronic Medical Records (EMRs). This work aimed to develop a sepsis prediction model utilizing continuous vital signs monitoring, offering an innovative approach to sepsis prediction.

The Effect of a Mobile Health App on Treatment Adherence and Revenue at Physical Health Clinics: Retrospective Record Review.

Background: A significant number of patients do not adhere to their prescribed course of physical therapy or discharge themselves from care. Adhering to prescribed physical therapy, including attending physical therapy clinic appointments, contributes to patients achieving the goals of therapy including reducing pain and increasing functionality. Web-based platforms have been demonstrated to be effective means for managing clinical patients with musculoskeletal pain, similar to managing them in person.