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Atlas Dataset

Comprehensive data platform offering insights into healthcare professionals, organizations, and market trends through multiple proprietary datasets.

Overview

Atlas Dataset provides extensive visibility into data concerning healthcare professionals and organizations, integrating real-world claims and evidence. It is highly ranked for healthcare reference and affiliation data, according to an independent market survey. Developed with advanced data collection methods, proprietary technology, and sophisticated data science, it offers curated intelligence to enhance market understanding, targeting, and commercial success.

This dataset is a preferred choice among healthcare organizations due to its robust, accurate, and accessible reference and affiliation data. It serves various sectors, including life sciences, construction, staffing, medical supplies, and financial services, aiding in market navigation and accelerating commercial success.

Atlas Dataset includes multiple proprietary datasets that provide a comprehensive view of the healthcare industry. These datasets allow users to analyze the market from various perspectives:

  • Atlas Reference & Affiliation Dataset: Offers insights into the connections and collaborations among millions of healthcare professionals and organizations.
  • Atlas Technology Install Dataset: Provides intelligence on industry-wide technology implementations to identify high-value prospects.
  • Atlas All-Payor Claims Dataset: Tracks patient healthcare journeys with billions of de-identified claims from multiple payors.
  • Atlas Prescription Claims Dataset: Analyzes pharmacy and direct prescription claims to understand market trends.
  • Atlas Expert Dataset: Delivers intelligence on key opinion leaders and healthcare providers globally.
  • Atlas Behavioral Health Dataset: Assists in planning and engaging with behavioral health facilities.
  • Atlas Consumer Dataset: Targets consumer audiences with data on over 225 million consumers and 500 health attributes.

A case study highlights how a biopharma company used the Atlas Dataset to refine physician targeting for a sickle cell disease drug launch. By combining claims, reference, and affiliations data, they accurately identified the number of unique patients, avoiding a significant overstatement and optimizing their field force deployment.

Atlas Dataset employs a unique approach to healthcare commercial intelligence, combining people, technology, and data science. It features a multi-dimensional data collection methodology, rigorous data cleaning and linking processes, and unique intelligence created by data science. This ensures high data quality and comprehensive insights into healthcare professional and organization activities.

Meta

Category
Scientific Data Infrastructure
Field(s)
Scientific IT & IntegrationCollaboration & Knowledge
Target user(s)
Bioinformatician / Data ScientistIT / Systems Admin
Tag(s)
AI