Clinical Research Directory

An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.

The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025. The goal is to determine length of stay in reanimation, neurological clinical outcome and costs of these patients at discharge from the department. All these data is intended to be evaluated by artificial intelligence to evaluate a predictive model.

Turnova: The Clinical Efficacy, Manpower Reduction, and Cost-Effectiveness of Turn-Assist Alternating Pressure Air Mattresses for Pressure Injury Prevention in the ICU

Pressure injuries are common in intensive care unit (ICU) patients who cannot reposition themselves. International guidelines recommend using support surfaces to redistribute pressure and regular turning to prevent these injuries. In Taiwan, high-specification foam mattresses (HSFM) with manual turning remain the standard, but frequent repositioning is labor-intensive and challenging in settings with limited nursing staff. The Turn-Assist Alternating Pressure Air Mattress (TAPAM) integrates pressure redistribution with automated lateral turning, potentially reducing nursing workload while maintaining preventive effectiveness. This study will compare TAPAM with HSFM plus manual turning in ICU patients, evaluating manpower requirements, time spent, perceived effort, and clinical outcomes. A cost-effectiveness and cost-benefit analysis will be conducted to assess the overall value of TAPAM for pressure injury prevention in high-risk ICU populations.