Real-Time Neurophysiological and Subjective Indices of Cognitive Engagement in High-Speed Flight.

Introduction: Managing cognitive demand is critical for aviation safety. Yet, accurately assessing pilot workload during complex flight maneuvers remains challenging. This study evaluated an integrated methodology combining real-time cognitive engagement indicators to provide a comprehensive assessment and assess the reliability of physiological and subjective measures for monitoring operator state.

Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning.

Traditionally, medical research is based on randomized controlled trials (RCTs) for interventions such as drugs and operative procedures. However, increasingly, there is a need for health research to evolve. RCTs are expensive to run, are generally formulated with a single research question in mind, and analyze a limited dataset for a restricted period.

Electrodiagnostic Testing Predicts Postdecompression Outcomes in Patients With Cubital Tunnel Syndrome.

Purpose: Electrodiagnostic (EDX) testing is commonly used in conjunction with symptoms and physical examination findings to diagnose cubital tunnel syndrome (CuTS). The purpose of this study was to investigate the relationship between preoperative EDX diagnosis and the degree of Disabilities of the Arm, Shoulder, and Hand (DASH) improvement after surgery within the CuTS patient population.

Methods: A retrospective review was designed to analyze patients from a single institution who underwent a cubital tunnel release.

A Decade of Achievements: International Society of Paediatric Oncology Baseline Nursing Standards.

The six International Society of Paediatric Oncology (SIOP) Baseline Nursing Standards provide the first evidence-based framework for assessing and improving pediatric oncology nursing practice settings in low-, middle-, and high-income countries. Over the past 10 years, the standards have been translated to six languages, endorsed by 13 organizations, surveyed at 101 hospitals in 54 countries, and initiatives have been documented at over 63 institutions in 31 countries. Going forward, the SIOP Nursing Network's Baseline Standards Special Interest Group has established a 5-year strategic plan to guide advocacy, research, and standards implementation through global multidisciplinary collaboration.

Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals.

Objective: To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals.

Methods: The context was public hospitals (n=114) and health services (n=16) in a large state in Australia serving a population of ~5 million. We conducted a participatory action research study with multidisciplinary healthcare professionals, managers, data analysts, consumer representatives and industry professionals (n=16) across three phases: (1) defining the problem, (2) current workflow and co-designing a future workflow and (3) developing proof-of-concept AI-based workflows.