Defining Health Management: A Conceptual Foundation for Excellence Through Efficiency, Sustainability and Equity.

The practice of healthcare management is essential for the efficient operation of health services, encompassing leadership, management, and direction within healthcare organisations. 'Health management' extends beyond healthcare management by integrating principles of public health and health policy. As health management is commonly practised but not cohesively recognised, the European Health Management Association (EHMA) conducted this study to develop a cohesive definition of health management.

Comprehensive location privacy enhanced model.

With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality. To address this challenge, this research proposes the comprehensive location privacy enhanced model (CLPEM), which enhances personalized privacy protection by integrating dynamic weight allocation at the policy layer, incorporating a user feedback mechanism, and designing tailored privacy strategies for various scenarios.

Local atrial bipolar electrogram voltage drops during cardiac magnetic resonance guided catheter ablation of typical atrial flutter: Associations with delivered radiofrequency energy and peri-procedural imaging.

Background: Cardiac magnetic resonance (CMR)-guided catheter ablation of the cavotricuspid isthmus (CTI) has been proven feasible, but determinants of local electrogram (EGM) voltage drops during radiofrequency (RF) applications are unknown.

Objective: The purpose of this study was to investigate local atrial bipolar EGM voltage drops and the association with delivered RF energy and anatomical information derived from peri-procedural CMR imaging.

Methods: In consecutive patients undergoing CMR-guided CTI ablation procedures, relative EGM voltage drops for RF applications ≥20 seconds were calculated.

From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases.

The outbreak of emerging infectious diseases poses significant challenges to global public health. Accurate early forecasting is crucial for effective resource allocation and emergency response planning. This study aims to develop a comprehensive predictive model for emerging infectious diseases, integrating the blending framework, transfer learning, incremental learning, and the biological feature Rt to increase prediction accuracy and practicality.

Exploring barriers to employee voice among certified nursing assistants: A qualitative study.

Background: Research shows that voice-the communication of ideas, concerns, and perspectives by employees to those in positions to instigate changes-is related to job satisfaction, retention, and organizational improvement. Nevertheless, health care professionals often do not exercise voice. Although researchers have explored the barriers registered nurses working in hospitals experience in expressing their voices, there has been a notable lack of attention in research and practice to the voice of certified nursing assistants working in long-term care settings.