Data / Health Information Management
This article explores the importance of accurate, complete, and standardized clinical data as the foundation of successful quality improvement initiatives. Highlights how strong data integrity supports reliable performance measurement, benchmarking,…
This article reviews the development and application of standardized quality indicators for atrial fibrillation care. Demonstrates how performance measures can be used to benchmark care, identify improvement opportunities, and promote…
This article examines the role of clinical registries in measuring quality, benchmarking performance, and identifying opportunities to improve atrial fibrillation care. Highlights how registry data can support evidence-based practice and…
A standardized, evidence-based framework for managing CIED remote monitoring alerts in outpatient device clinics. Includes a color-coded triage algorithm (RED/YELLOW/GREEN), complete SOP, staff training materials, and interactive metrics dashboard that…
This presentation was developed for the cardiology nurses and medical assistants in our cardiology office to better understand how our deparment runs and the daily tasks of each role. Engagement…
This algorithm is intended to provide a standardized framework for in-clinic and remote follow-up of permanent pacemakers. It supports systematic assessment of patient symptoms, device function, programming optimization, safety surveillance,…
Journal Articles: Atrial fibrillation (AF) is the most common cardiac arrhythmia diagnosed and treated in the world. The treatment of patients’ symptoms as well as the prevention of stroke and heart failure is dependent on accurate detection and characterization of AF. A variety of electrocardiographic (ECG) monitoring techniques are being used for these purposes. However, these intermittent ECG monitoring techniques have been shown to underdiagnose AF events while having limited ability to characterize AF burden and density. Continuous long-term implantable loop recorder (ILR)–based ECG monitoring has been designed to overcome these limitations. This technology is being increasingly used to diagnose episodes of AF in high-risk patients and to improve characterization of AF episodes in patients with known AF. This review aims to review the potential clinical utility of ILR-based ECG monitoring while highlighting some inherent limitations of the current technology. An understanding of these limitations is important when considering the use of ILR-based ECG monitoring and clinical decision making based on the information being stored within these devices.