Revolutionizing Healthcare Research: LexisNexis® Risk Solutions’ New Blended Datasets
Atlanta, GA – January 29, 2025 – LexisNexis® Risk Solutions, a leading innovator in the field of healthcare analytics and insights, has recently announced the launch of a groundbreaking new product designed to revolutionize healthcare research. These research-ready, real-world datasets combine patient-level information using proprietary tokenization technology, ensuring standardization, data privacy, and expedited research processes.
What Are Blended Patient-Level Datasets?
Blended patient-level datasets are a combination of data from multiple sources, expertly curated and certified to ensure standardization and research readiness. The datasets are created using referential-based tokenization, which is a sophisticated method that simplifies data enrichment while adhering to privacy standards. This technology allows researchers to link data from various sources while maintaining patient confidentiality. The result is a comprehensive, accurate, and privacy-preserving dataset that can significantly reduce research timelines and costs.
How Will This Impact Individuals?
For individuals, the availability of these blended patient-level datasets means that researchers will have access to more comprehensive and accurate data for their studies. This can lead to more equitable analyses, as researchers will be able to consider a more diverse range of patient data, potentially leading to better understanding and treatment of various health conditions. Furthermore, this could ultimately result in improved patient care and outcomes.
Global Implications
On a larger scale, the introduction of these blended patient-level datasets has the potential to transform the healthcare industry as a whole. By providing researchers with more comprehensive and accurate data, it can lead to a better understanding of various health conditions, improved diagnostic tools, and more effective treatments. Additionally, this technology can help reduce healthcare disparities and improve equitable access to care, ultimately leading to better health outcomes for populations worldwide.
Conclusion
LexisNexis® Risk Solutions’ new blended patient-level datasets represent a significant step forward in the field of healthcare research. By combining data from multiple sources using advanced tokenization technology, these datasets ensure standardization, data privacy, and expedited research processes. Individuals stand to benefit from more equitable analyses and potentially improved patient care, while the global healthcare industry can look forward to better understanding and treatment of various health conditions, reduced disparities, and improved outcomes.
- Blended patient-level datasets combine data from multiple sources using referential-based tokenization technology
- Standardization and research readiness ensure expedited research processes and reduced costs
- Individuals benefit from more equitable analyses and potentially improved patient care
- Global healthcare industry can look forward to better understanding and treatment of various health conditions
- Reduced disparities and improved outcomes for populations worldwide
