How we help you find the right care
Everyday Health CARE combines large-scale medical claims data with AI-driven processing to give patients a clear, accurate picture of physician expertise across the United States
1.1M
Physician profiles across the US
37M
Condition and procedure data points
198
Medical specialties included
Site Management, Data Sources, and Processes
Everyday Health CARE is built to help patients find the right doctors by analyzing large-scale healthcare data and organizing it into a precise, searchable, patient-friendly experience.
Users can search physician profiles by:
Users can further filter physician profiles by:
All results are powered by claims-based healthcare data and standardized medical classification systems, ensuring consistent and relevant search results.
Data Coverage
Our database includes:
1.1M Physician profiles across 198 medical specialties in the United States
Aggregated granular healthcare data derived from actual insurance claims:
- Over 1.5 billion physician-patient interactions annually
- Over 3 billion medical procedures performed annually
- Over 10,000 unique medical conditions treated annually
This scale allows us to surface meaningful insights about physician expertise, patient populations, and care patterns.
Continuous Updates
Healthcare data evolves constantly. Our data infrastructure is designed to:
Regularly ingest updated claims datasets
Refresh physician profiles and condition data
Improve classification models over time
This ongoing process gives patients and providers access to accurate, timely, and high-quality information, helping them make informed decisions and better understand patterns of care.
Medical Terminology and Classification
To ensure accuracy and consistency, medical data on the Everyday Health CARE is standardized using widely accepted healthcare classification systems, including:
ICD codes (International Classification of Diseases) for conditions and diagnoses
CPT codes (Current Procedural Terminology) for medical procedures and services
Structured medical terminology and specialty taxonomies
By leveraging these systems, we can accurately map clinical data to physician profiles and create reliable condition- and procedure-level insights.
Data Processing and AI Systems
Raw healthcare claims data is inherently complex and highly fragmented, making it challenging to create a seamless patient experience. To address this, we developed advanced data processing pipelines that integrate multiple steps of analysis and standardization, including:
Large-scale data ingestion and normalization
AI-led medical terminology mapping from clinical codes to user-friendly language
Entity resolution for physician identities
Machine learning and AI-driven classification processes
This approach identifies connections between physicians, conditions, procedures, and specialties, producing more relevant search results and deeper insights into physician expertise.
Our Goal
Our mission is to make complex healthcare data transparent, accessible, and useful for patients seeking the right care.
By combining large-scale medical data with advanced AI processing, Everyday Health CARE provides a comprehensive physician directory.