Filter By “Claims Data”
Establishing a framework for privacy-preserving record linkage among electronic health record and administrative claims databases within PCORnet
The aim of this study was to determine whether a secure, privacy-preserving record linkage (PPRL) methodology can be implemented in a scalable manner for use in a large national clinical research network.
Unlocking Deeper Patient Insights by Linking Real-World Data to Specialty Drug Data
Life science companies have been burdened by lack of integration between internal and external data silos. Despite having access to various datasets for the same patient population, there has been no way to create a complete picture of the patient journey.
Data Linking in Clinical Trials
The benefits of leveraging real-world data (RWD) in clinical research are increasingly recognized and endorsed by regulators. As with any innovation, there is a gap between RWD availability and effectively leveraging the data, especially in the context of a randomized controlled trial (RCT). One answer to this conundrum is to tokenize clinical trials data to enable connectivity to RWD. This webinar will focus on the operational processes to implement tokenization within a clinical trial to enable the ability to link to real–world data to answer research questions which could not previously be answered from traditional RCT designs.
e-Book: Health Data Trends – Top Data Types in Demand
Over the last few years, connecting health data is evolving from innovation to standard practice. Pharmaceutical companies, health systems, government, payers, and analytics platforms connect data, creating a robust picture of patient health, to accelerate research, improve care, and lower healthcare costs.
e-Book: Health Data Trends Part II
This time, we’ll review new data available through Datavant’s ecosystem partners and its value in answering specific questions. As partners continue to join our ecosystem, there are more opportunities for health systems, insurers and biopharma companies to connect data that completes the picture of patient health.