Connecting the World’s Health Data

Datavant’s mission is to connect the world’s health data. Our solutions are used by leading healthcare organizations to protect, share, and match data. Our technology enables organizations to link de-identified data at the patient level, enabling deeper insights and understanding while protecting patient privacy.

Our goal is to eliminate data silos with the following key features:

Protect Patient Privacy and Reduce Risk: Datavant's tools support de-identification of data through HIPAA-compliant, certified tokens to reduce the risk of unauthorized access and patient re-identification. The software can be installed and run on-premise (meaning that you never have to give us access to your PHI or system) or via a Cloud-based implementation, depending on the customer's preference.
Industry-Leading Matching Technology: Match records across datasets with industry-leading precision and recall. Datavant's approach to matching is simple, validated by studies with real-world data, and flexible to your needs.
Easily Configurable for Any Workflow: Datavant's technology works with almost any data type and data file. We support custom de-identification rules and have successfully run our tools in dozens of customer environments.
Tested and Trusted: Datavant's technology has been successfully used since 2014. The Datavant ecosystem consists of over 300 million covered lives and over 350 data partners including leading EHR, claims, lab, and patient hub data partners. In the last year, we’ve processed well over 100 billion records.

Connecting to Datavant’s open ecosystem of real-world data from leading partners supports clinical and commercial solutions including, but not limited to:

Retrospective cohort analysis
Post-marketing studies
Hybrid studies
Synthetic controls
HEOR and market access strategy
Brand analytics for specialty pharma
Commercial targeting and measurement

For more information, visit www.datavant.com

搜集汇总

背景与挑战

背景概述

该数据集聚焦于Datavant公司通过去标识化技术和行业领先的匹配方案连接全球健康数据，旨在打破数据孤岛并保护患者隐私。其生态系统涵盖广泛的数据类型和合作伙伴，支持临床与商业应用如回顾性队列分析和市场策略研究。