Objectives: Overuse of telemetry among hospitalized patients results in poor patient care and wasted health care dollars. Guidelines addressing telemetry use have been developed by the American Heart Association (AHA) and are effective when applied to specific clinical practices and high-value care. The purpose of our intervention was to facilitate more effective utilization of telemetry in our hospital. We aimed to reduce patient days on telemetry through use of AHA guideline criteria for telemetry.
Study Design: We used Plan-Do-Study-Act cycles with chart review for pre- and postintervention measurement collection.
Methods: We included patients hospitalized at The Brooklyn Hospital Center on inpatient general medical wards from January 1, 2017, through July 31, 2018. The intervention consisted of a standard process of reviewing patients on telemetry based on AHA guidelines, educating teams on the guidelines, and changes to telemetry order sets. The primary outcome measured was the total number of days that patients remained on telemetry. Secondary measures included the daily number of telemetry downgrades and total number of patients on telemetry. Diagnosis-related group and case mix index were also noted.
Results: Patient average days on telemetry changed from 7.20 days preintervention to 3.51 days post intervention (P < .0001). The number of patients on telemetry with a diagnosis meeting AHA guidelines for telemetry increased.
Conclusions: The stated intervention resulted in more effective use of telemetry, evidenced by fewer patient days on telemetry and increased numbers of patients on telemetry meeting AHA guidelines for telemetry.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.37765/ajmc.2020.88525 | DOI Listing |
Introduction: In the last decade, concussions and subconcussive brain trauma in football and other high impact sports have become of increasing concern. Tackling, in youth football, accounts for a high proportion of head impacts and injuries, including concussions. Thus, minimizing head impact severity during tackling may help in reducing concussion risk and subconcussive brain trauma.
View Article and Find Full Text PDFPLoS One
January 2025
Colleage of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China.
Target tracking techniques in the UAV perspective utilize UAV cameras to capture video streams and identify and track specific targets in real-time. Deep learning UAV target tracking methods based on the Siamese family have achieved significant results but still face challenges regarding accuracy and speed compatibility. In this study, in order to refine the feature representation and reduce the computational effort to improve the efficiency of the tracker, we perform feature fusion in deep inter-correlation operations and introduce a global attention mechanism to enhance the model's field of view range and feature refinement capability to improve the tracking performance for small targets.
View Article and Find Full Text PDFSoil moisture is a key parameter for the exchange of substance and energy at the land-air interface, timely and accurate acquisition of soil moisture is of great significance for drought monitoring, water resource management, and crop yield estimation. Synthetic aperture radar (SAR) is sensitive to soil moisture, but the effects of vegetation on SAR signals poses challenges for soil moisture retrieval in areas covered with vegetation. In this study, based on Sentinel-1 SAR and Sentinel-2 optical remote sensing data, a coupling approach was employed to retrieval surface soil moisture over dense vegetated areas.
View Article and Find Full Text PDFInt J Technol Assess Health Care
January 2025
Department of Industrial and Systems Engineering, University of Washington, Seattle, WA, USA.
Objectives: Advances in mobile apps, remote sensing, and big data have enabled remote monitoring of mental health conditions, but the cost-effectiveness is unknown. This study proposed a systematic framework integrating computational tools and decision-analytic modeling to assess cost-effectiveness and guide emerging monitoring technologies development.
Methods: Using a novel decision-analytic Markov-cohort model, we simulated chronic depression patients' disease progression over 2 years, allowing treatment modifications at follow-up visits.
Sci Rep
January 2025
Institute of Environment, Florida International University, Miami, FL, 33199, USA.
Variability in space use among conspecifics can emerge from foraging strategies that track available resources, especially in riverscapes that promote high synchrony between prey pulses and consumers. Projected changes in riverscape hydrological regimes due to water management and climate change accentuate the need to understand the natural variability in animal space use and its implications for population dynamics and ecosystem function. Here, we used long-term tracking of Common Snook (Centropomus undecimalis) movement and trophic dynamics in the Shark River, Everglades National Park from 2012 to 2023 to test how specialization in the space use of individuals (i.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!