Implementing a closed loop clinical decision support system for sustainable preoperative care.

Unnecessary preoperative testing poses a risk to patient safety, causes surgical delays, and increases healthcare costs. We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic preprocedural test orders at two teaching hospitals in Madrid, Spain. Interrupted time series analysis was performed to evaluate changes in rates of preoperative testing after CDSS implementation, which took place from September 2019 to December 2019.

Physical Activity in Patients with Advanced Cancer: Sociodemographic, Clinical, and Psychological Correlates.

As cancer progresses, patients may experience physical decline, which can impair their ability to carry out essential daily tasks. The aim of this study was to analyze the levels of physical activity in patients with advanced cancer undergoing systemic treatment and its relationship with sociodemographic, clinical, and psychological factors. A prospective, cross-sectional, multicenter study was carried out in 15 oncology departments in Spain.

Effect of an algorithm for automatic placing of standardised test order sets on low-value appointments and attendance rates at four Spanish teaching hospitals: an interrupted time series analysis.

Objective: Reducing backlogs for elective care is a priority for healthcare systems. We conducted an interrupted time series analysis demonstrating the effect of an algorithm for placing automatic test order sets prior to first specialist appointment on avoidable follow-up appointments and attendance rates.

Design: Interrupted time series analysis.