Cardiovascular Data Science (CarDS) Lab
The Cardiovascular Data Science (CarDS) Lab is committed to improving cardiovascular health using data-driven insights into how we deliver care to patients.
Our group focuses on a multifaceted data-driven evaluation of cardiovascular care and outcomes.
About Us
Areas of Investigation
The CarDS Lab focuses on a multifaceted data-driven evaluation of cardiovascular care and outcomes.
- Healthcare Quality
- Deep Phenotyping
- Health Policy
- Cardiovascular Therapy
Visit the CarDS Lab or email khera.lab@yale.edu for more updates.
Healthcare Quality
In large national registries and datasets, we have defined both methodologic best practices for rigorous investigation and identified adherence to evidenced-based cardiovascular care
Deep Phenotyping
A series of ongoing investigations focus on multimodality digital health data to evaluate the phenotypic variability of patients with cardiovascular disease and the quality of care they receive
Precision Diagnosis and Therapy
We are developing tools that personalize the assessment of randomized clinical trials through the application of advanced data science and machine learningHealth Policy
Our work focuses on a rigorous evaluation of health policies and their association with cardiovascular health and outcomes
Financial Toxicity from Cardiovascular Care
We have uncovered a large burden of financial toxicity from healthcare among patients with cardiovascular disease, a function of both their emergency and acute care needs as well as out-of-pocket expenses on health insurance and health maintenanceCardiovascular Therapy
CarDS Lab at Northwestern Cardiovascular Young Investigators' Forum (NCYIF)
We have evaluated both the effectiveness and risk-stratification tools used to define the need for therapy in different populations