Identifier |
Timely_Treatment_of_Severe_Aortic_Stenosis_Model |
Title |
Timely Treatment of Severe Aortic Stenosis Model Share Utilizing Data Collected in American Heart Association's (AHA) Target: Aortic Stenosis Registry Pilot Program |
Creator |
Terreal Rogers; Anwar Tandar; Sara Pereira; Satvik Ramakrishna; Jennifer Burgi; Kalie Christensen; Joe Perry |
Subject |
Aortic Valve Stenosis; Echocardiography; Diagnostic Techniques, Cardiovascular; Patient Care Team; Efficiency; Time-to-Treatment; American Heart Association; Registries; Pilot Projects; Data Collection; Benchmarking; Treatment Outcome; Intersectoral Collaboration; Poster |
Description |
According to Journal of the American Heart Association (AHA), 2021, less than 50% of severe aortic stenosis (AS) patients receive treatment within one year of symptom onset. In 2020, the CV Registry department accepted an invitation from AHA to join a learning collaborative focused on creating a registry tool to measure timely diagnosis and treatment of patients with severe aortic stenosis. The primary goals of this initiative are to identify barriers to treatment, and measure timely diagnosis and treatment of patient with severe aortic stenosis in order to improve patients outcomes. Target: Aortic Stenosis Registry data from 2020- 2023 demonstrated that our Structural Heart Clinic was able to meet AHA's registry benchmark of 75% or greater in year 2021-2023 for the Timely Treatment Measure (treatment with TAVR or SAVR within 90 days from severe aortic stenosis diagnosis by echo). During this period of time the valve clinic was able to improve treatment times by hiring a new Structural Heart Coordinator, adding an Operations Manager, created tableau reports to identify echoes of patients with severe aortic stenosis without a referral to the valve clinic, and implementing an outreach process to ordering providers regarding symptomatic status of identified aortic stenosis patients. The valve clinic also created same day imaging and diagnosis testing appointments for our non-local patients to shorter time from diagnosis to treatment. In conclusion, investing in high quality support staff and building collaborative multidisciplinary care teams contributes to best care practices. Utilizing protocols and data reports to identify gaps in patient care process promotes timely treatment of patients. Also, streamlining appointments provides efficiency and a patient-centered healthcare experience. |
Relation is Part of |
UUHC Posters - 2025 |
Publisher |
Spencer S. Eccles Health Sciences Library, University of Utah |
Date Digital |
2025 |
Date |
2025 |
Type |
Text |
Format |
application/pdf |
Rights |
https://rightsstatements.org/page/InC/1.0/ |
Language |
eng |
ARK |
ark:/87278/s6s11qja |
Setname |
ehsl_ebp |
ID |
2678822 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6s11qja |