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LexisNexis Risk Solutions Launches Research-Ready Healthcare Data

In a significant breakthrough for the healthcare analytics field, LexisNexis® Risk Solutions has recently unveiled new research-ready datasets that aim to accelerate research timelines, lower costs, and facilitate equitable analyses. This launch is particularly crucial for researchers looking to enhance their understanding of healthcare dynamics and patient outcomes.

The Need for Research-Ready Data

In the ever-evolving landscape of healthcare, timely access to reliable datasets is paramount. Researchers often face challenges such as inefficient data management and limited access to comprehensive datasets. Recognizing this hurdle, LexisNexis' new offering addresses these challenges head-on with their innovative approach to creating blended, expert-reviewed datasets.

These patient-level datasets are meticulously prepared using referential-based tokenization, ensuring they are both standardized and reliable. This process allows research teams to easily enrich their existing datasets and define specific cohorts effectively, which is essential for successful outcomes in clinical studies. By integrating these datasets into clinical research workflows, researchers can generate robust real-world evidence that not only speeds up innovation but also enhances the entire research process.

What the Datasets Include

The newly launched datasets are comprehensive, combining various health insights to provide a holistic view of healthcare practices. They feature the following components:

• - Care Delivery Insights: This includes details from de-identified medical, pharmacy, and lab claims, encompassing factors like diagnoses, comorbidities, service dates, and more.
• - Pharmacy and Medication Insights: Researchers gain an overview of drug specifics, including names, codes, and dosages, crucial for assessing treatment effectiveness.
• - Financial Insights: Understanding the economic implications of healthcare delivery is vital; thus, the datasets detail total care costs.
• - Social Determinants of Health (SDOH): Recognizing factors such as transportation issues and financial burdens, these insights highlight disparities based on geography and ethnicity, allowing for a more accurate analysis of healthcare access.
• - Mortality Insights: Sourced from diverse, non-traditional avenues, these are updated weekly to provide fresh data critical for longitudinal studies.

This array of insights fosters understanding while also reducing potential biases commonly associated with single-sourced data.

Enhancing Research Efficiency

The integration of advanced subgroup analyses allows researchers to identify unique patient populations that may respond differently to treatments, leading to more personalized care solutions. This capability is invaluable, as it holds the potential to reshape care delivery models while ensuring that they are both effective and tailored to meet diverse patient needs.

Furthermore, these datasets are designed with proactive monitoring in mind. By identifying high-risk populations, they can mitigate adverse events and facilitate patient assistance programs by addressing logistical and financial challenges.

Conclusion

Adam Mariano, the president and general manager of healthcare at LexisNexis Risk Solutions, emphasizes the importance of these developments: “By offering comprehensive, research-ready datasets that are standardized, expert determined and ready for immediate use, we're enabling researchers to eliminate traditional data management challenges and accelerate their timeline to deliver actionable insights.” This statement underscores the company's commitment to improving the research landscape within healthcare.

For more details on these innovative datasets, researchers and stakeholders can visit LexisNexis Risk Solutions. With these new tools, the healthcare community is poised to make more informed decisions, ultimately enhancing patient outcomes and fostering equitable healthcare practices across various populations.