American College of Cardiology – National Cardiovascular Data Registry
The National Cardiovascular Data Registry (NCDR) is the American College of Cardiology’s (ACC) suite of registries designed to help hospitals and private practices measure and improve the quality of cardiovascular care they provide. Beginning in 2007, the Yale/YNHH CORE Center for Health Informatics and Analytics has served as a data analytic center for 6 of the ACC NCDR registries. The goal of this work is to generate new knowledge and insights into the care of patients with cardiovascular disease through analysis of the robust clinical data submitted to the NCDR registries. A team of CORE researchers works closely with NCDR staff to provide logistical and analytical support for research proposals and targeted projects related to its EP Device Implant Registry™ (formerly ICD Registry™), CathPCI Registry®, Chest Pain-MI Registry™, LAAO Registry™, Afib Ablation Registry™ and PVI Registry™.
The following Information is accurate as of November 2022.
EP Device Implant Registry™
- 122 studies
- 105 manuscripts published (or in press)
- 103 abstracts presented (or to be presented) at professional meetings
- 47 studies
- 35 manuscripts published (or in press)
- 41 abstracts presented (or to be presented) at professional meetings
- 6 studies
- 4 manuscripts published articles
- 4 abstracts presented (or to be presented) at professional meetings
- 21 studies
- 11 manuscript published
- 7 abstracts presented (or to be presented) at professional meetings
AFib Ablation Registry™
- 7 studies
- 1 manuscript published
- 2 abstracts presented at professional meetings
- 3 studies
- 3 manuscripts published (or in press)
- 1 abstract presented at a professional meeting
Recent Strategic Projects and Grants
In addition to the studies above, the Center for Health Informatics and Analytics has worked closely with our partners on other projects, including the following:
- NIH/NHLBI grants titled Safety and Effectiveness of Left Atrial Appendage Closure in Atrial Fibrillation (SAFELY-AF) (1R56HL142765-01 (1 year) and 1R01HL142765-01A1 (4 years) (PI: Freeman, James) (in conjunction with Boston Scientific Corporation)
- NIH/NHLBI grant titled Translating Outstanding Performance in Percutaneous Coronary Intervention (TOP PCI) (1 U01 HL105270-01).
- Development and maintenance of multiple risk models
- Development of measures for NQF endorsement
- Device post-approval studies
- Systemic evaluation of public reporting initiatives
For more information about the NCDR and its registries, please visit https://cvquality.acc.org/NCDR-Home/registries.
INSPIRE study(Innovative Support For Patients with SARS-CoV-2 Infections)
The INSPIRE study at Yale is funded by the CDC and is looking to understand the long term health effects of COVID-19 through patient medical data and surveys. The Center for Health Informatics and Analytics provides research and analytic support.
For more information about INSPIRE, please visit the website.
LISTEN Study (Listen to Immune, Symptom, and Treatment Experiences Now
The LISTEN study at Yale is looking to understand Long Covid, post-vaccine adverse events and the corresponding immune responses by collecting information about symptoms and medical history as well as blood and saliva samples from members of the Hugo Health Kindred COVID-19 Community. Yale/YNHH Center for Health Informatics and Analytics provides research and analytic support for this work.
For more information about LISTEN, please visit the website.
Agency for Healthcare Research and Quality(AHRQ)
The Agency for Healthcare Research and Quality has developed the Quality Safety Review System, a national dataset on hospital harms to help hospitals understand how and where adverse events occur and how to prevent them. Yale/YNHH CORE provides clinical, methodological and statistical support to AHRQ.
For more information about AHRQ, please visit the website.
The Yale-CORE Sentara collaboration aims to bring a technology-based approach that integrates advanced analytics, digital transformation of medical data, and implementation science to improve cardiovascular care, outcomes, and equity. Sentara Healthcare is a large health system based in largely in Virginia, with 12 hospitals and a large multi-specialty medical group. Sentara Healthcare serves the Hampton Roads region of Virginia, an area with 1.7 million residents, of which 31% are African American and 8% are Hispanic. The region has a broad range of incomes, with 16% of households having an annual income of less than $25,000. Sentara Healthcare adopted the Epic electronic health record (EHR) system in 2007 and the Epic database includes over 7 million records. Sentara is currently creating the infrastructure to examine healthcare data by mapping its clinical data from the Epic EHR to a common data model called OMOP. Having data mapped to OMOP tables will enable the use of artificial intelligence methods to examine large datasets. As the first use case of Yale-CORE Sentara collaboration, we focus on developing computational algorithms to identify barriers to diagnosis, treatment, and control of hypertension with an emphasis on social determinants of health.