About
Datavant is the leading healthcare data logistics and collaboration platform, purpose-built to connect fragmented patient data across the healthcare ecosystem. Its network spans more than 80,000 hospitals and clinics and includes 75% of the top 100 largest health systems, making it the most comprehensive health data exchange infrastructure available. At its core, Datavant uses privacy-preserving tokenization technology to link patient records across disparate databases without ever sharing personally identifiable information (PII). This enables health plans, healthcare providers, life sciences companies, legal and insurance firms, and government agencies to build a complete, longitudinal view of the patient journey. Key capabilities include medical record retrieval and release of information (ROI), health data extraction and transformation, EHR integrations, HCC and HIM coding, clinical insights, denial management, and revenue cycle management. The platform's real-world data (RWD) connectivity tools allow life sciences researchers to link proprietary clinical trial data with broader health datasets for stronger predictive analytics and clinical R&D. Datavant also provides developer tools and API documentation for EHR integrations, along with an AHIMA-accredited education program, webinars, and expert resources on healthcare interoperability standards like TEFCA. It is trusted by health plans looking to improve member outcomes, legal and insurance professionals managing claims, and pharma and medical device companies mapping treatment pathways.
Key Features
- Privacy-Preserving Tokenization: Links patient records across datasets without sharing PII, ensuring HIPAA compliance while enabling cross-database matching and longitudinal patient journey mapping.
- Medical Record Retrieval & Release of Information: Automates the retrieval and release of medical records for health plans, legal firms, insurers, and TPAs to resolve claims faster and more securely.
- Real-World Data (RWD) Connectivity: Connects proprietary clinical and commercial data with a network of 350+ RWD partners for life sciences research, predictive analytics, and commercial pharma insights.
- Health Data Extraction & EHR Integration: Transforms unstructured medical records into structured, usable health data with deep EHR integration capabilities and developer API support.
- Revenue Cycle & Denial Management: AI-driven tools help healthcare providers improve reimbursement rates, reduce claim denials, and streamline compliance and audit management workflows.
Use Cases
- Health plans retrieving and linking member records across disparate EHR systems to improve risk adjustment accuracy and member outcome predictions.
- Life sciences companies linking proprietary clinical trial data with real-world data from hospital networks to map the full patient journey and support regulatory submissions.
- Legal and insurance firms automating medical record retrieval from thousands of providers to resolve claims faster and reduce administrative overhead.
- Healthcare providers using AI-driven denial management and revenue cycle tools to reduce claim rejections and improve reimbursement rates.
- Government agencies and non-profits aggregating multi-source health data to create holistic population health views and support evidence-based policy decisions.
Pros
- Largest Healthcare Data Network: Access to 80,000+ hospitals and clinics and 75% of top health systems gives unparalleled breadth for patient record linkage and real-world data studies.
- HIPAA-Compliant Privacy Technology: Tokenization ensures patient data is never exposed as PII during exchange, making it suitable for even the most compliance-sensitive healthcare use cases.
- End-to-End Data Logistics: Covers the full data lifecycle—from retrieval and extraction to transformation, linkage, and analytics—eliminating the need for multiple point solutions.
- Rich Educational Resources: AHIMA-accredited webinars, white papers, and expert-led content help practitioners stay current on health data regulations and interoperability standards like TEFCA.
Cons
- Enterprise-Focused Pricing: Datavant is designed for large health systems, payers, and life sciences companies; pricing and access are not transparent and may be prohibitive for smaller organizations.
- Complex Onboarding: Integrating into Datavant's network and configuring EHR connections may require significant technical resources and coordination with internal IT teams.
- Limited Self-Service Options: The platform is built around enterprise contracts and partnerships rather than self-service or on-demand access, making it less accessible for independent researchers or startups.
Frequently Asked Questions
What is Datavant used for?
Datavant is used to securely exchange, link, retrieve, and transform healthcare data across a large network of providers, payers, life sciences companies, and government agencies — all while preserving patient privacy through tokenization.
How does Datavant protect patient privacy?
Datavant uses proprietary tokenization technology that replaces personally identifiable information (PII) with privacy-preserving tokens, allowing patient records to be matched across databases without ever exposing sensitive data.
Who are Datavant's main customers?
Datavant serves health plans, healthcare providers, legal and insurance firms, life sciences organizations (pharma, medical devices, clinical R&D), and government and non-profit agencies.
Does Datavant offer API access for developers?
Yes, Datavant provides developer tools and API documentation specifically designed for EHR integrations, enabling technical teams to build custom data exchange and retrieval workflows.
What is Datavant Connect?
Datavant Connect is the platform's core tokenization and real-world data connectivity solution, enabling organizations to build flexible data strategies by linking proprietary datasets with a broad network of health data partners.
