All the data you need to drive commercial success
Get unmatched visibility with data on more than 15 million healthcare professionals and 301,000 organizations, matched with real-world claims and evidence. The Atlas Dataset ranked #1 or #2 for the top 10 use cases for healthcare reference and affiliation data, according to an independent market survey conducted by a leading research group. Developed with advanced data collection methods, proprietary technology and algorithms, sophisticated data science, and dedicated research teams, the Atlas Dataset provides curated and contextualized intelligence to help you understand your market, improve targeting, and achieve commercial success.
Meet the top-ranked healthcare commercial dataset
The Atlas Dataset’s robust, accurate, and easily accessible reference and affiliation data make it a top choice among life science and healthcare provider organizations, according to an independent research firm. Read the report.
Analyze the market from any vantage point
Watch the video to see how you can discover new opportunities for your business.
The Atlas Dataset
The Atlas Dataset integrates data from thousands of disparate sources to give you an unparalleled view of the healthcare market from any angle. The Atlas Dataset uses a proprietary process to clean, normalize, and link all the data, and then uses automated and manual processes to verify the data, ensuring you have access to up-to-date and accurate healthcare commercial intelligence.
Atlas Reference & Affiliation Dataset
Gain unmatched visibility into how millions of healthcare professionals and organizations are interconnected and operate with our best-in-class affiliations intelligence and 30+ reference categories spanning contact information on more than 1 million executives, physical addresses, organizational hierarchy, and more.
Atlas Prescription Claims Dataset
Leverage billions of all-payor lifecycle pharmacy and direct prescription claims to understand the volume of claims that are paid, rejected and reversed. Respond quickly to market needs, create high value market segmentations, and increase commercial team effectiveness with de-identified patient-level data that enables longitudinal analysis of the healthcare activity. Learn more.
Atlas All-Payor Claims Dataset
Access billions of de-identified hospital and medical claims capturing institutional and professional charges for services rendered. Follow patients over time, across payors and locations, with real-world data from commercial, Medicare, Medicaid, federal programs, and other payors. Learn more.
Atlas Expert Dataset
Access intelligence on millions of key opinion leaders, medical and scientific researchers and academics, and healthcare providers in all therapeutic areas worldwide. Better understand the scientific landscape with extensive data from publications, clinical trials, meeting presentations, grants, social media, and more.
CASE STUDY
Combine multiple datasets for exponential impact
See how one client sharpened their physician targeting by leveraging the Atlas Dataset.
Challenge
A biopharma company was launching a drug treating sickle cell disease (SCD). They needed to understand the value of specific networks by identifying the number of unique SCD patients receiving care. The company first used a physician-level claims report for a specific network and identified 3,824 patients; however, because multiple providers see SCD patients, they suspected that relying on claims data alone inflated the number of unique patients.
Solution
To determine the true number of unique patients, they used our proprietary reference and affiliations data paired with our all-payor claims data mapped to the integrated delivery network (IDN) at the claim level and found that the true number of unique SCD patients at the IDN was 833.
Impact
By combining claims, reference, and affiliations data, the company refined their targeting and avoided a 359% overstatement of patients, supporting more effective use of the field force. Layering additional data points on top of their initial analysis helped the sales and marketing teams to accurately identify the organizations and physicians with the most acute need for their product.
A unique approach to healthcare commercial intelligence
With a proprietary combination of people, technology, and data science, we employ refined methodologies and extensive quality control to provide full visibility into healthcare professional and organization activity. Only Definitive Healthcare offers:
Multi-dimensional data collection methodology
We collect billions of data points from thousands of public, private, and proprietary sources including first-party research, disparate public information, government and regulatory agencies, and third-party data. We also use multiple feedback channels to efficiently gather and incorporate client and market input.
Try nowRigorous data cleaning and linking process
Our multi-step process involves proprietary algorithms, dedicated research and quality control teams, and data science techniques such as natural language processing, machine learning, artificial intelligence, and geolocation. We prep, cleanse, normalize, link, and verify the data to unite disparate datasets and ensure the highest data quality.
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Unique intelligence created by data science
Through curation and advanced analytics, our team turns raw data into high-quality insights by connecting millions of affiliations, identifying physical addresses of every U.S. facility, estimating and extrapolating clinical volumes up to 100% of the market, and mapping hospital organizational structures.
Try nowBuild better commercial strategies
The Atlas Dataset is the foundation of our healthcare commercial intelligence, providing a longitudinal, comprehensive, and current picture of the healthcare market so you can:
Uncover new opportunities
Understand the relationships, operational interactions, and trends between healthcare professionals and organizations.
Respond quickly to market changes
Adapt to market needs based on the most current provider activity and data science-enabled insights.
Make decisions with confidence
Build commercial strategies grounded in billions of data points on reference, affiliations, claims, and experts.
Access the Atlas Dataset on your terms
Flexible options allow you to access the Atlas Dataset in the way that best aligns with your organization’s needs and existing systems. These include our View Product Suite, Monocl Expert Suite, and Passport or Latitude Analytics Suites, custom reports, as well as integration with your internal business systems.
Frequently asked questions
We have developed a multi-dimensional data collection methodology. Our first-party research includes over 650,000 research calls and 4 million email outreaches annually. We collect data from more than 20,000 government and regulatory sources and more than 250,000 websites, journals, publications, news articles, job postings, and other public information sources using proprietary automated processes. We also collect third-party data, including information on many billions of institutional and professional claims covering many millions of patients.
Our proprietary insights are derived from deep domain expertise, computer science, and mathematics. The data science team leverages an array of advanced analytics such as NLP, ML, and AI. The team combines statistical research and subject matter expertise on commercial strategy, use cases, and real-world data (RWD) to arrive at insights that help you to better target opportunities, allocate resources, inform strategic planning, and drive other critical business decisions.
This dataset spans more than 30 unique reference categories such as financial performance, practice locations, contact information, quality performance, healthcare organization and professional affiliations, technology, purchasing, and staffing data. As a result, you gain critical insights into buyer intent, patient care and performance trends, investments in care optimization, and more.
