AIMC Journal:
Risk management and healthcare policy

Showing 1 to 2 of 2 articles

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.

Risk management and healthcare policy
PURPOSE: With the aging population, the demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA) has risen significantly. Elderly patients, especially those over 70 years, face a higher risk of perioperative bleeding and transfusion,...

Triaging Clients at Risk of Disengagement from HIV Care: Application of a Predictive Model to Clinical Trial Data in South Africa.

Risk management and healthcare policy
PURPOSE: To reach South Africa's targets for HIV treatment and viral suppression, retention on antiretroviral therapy (ART) must increase. Here, we aim to successfully identify ART clients at risk of loss from care prior to disengagement.