EXLVANTAGE™ activates semantic interoperability, making sense of the noise
EXLVANTAGE™ is a unique healthcare delivery model that weaves data and application services and assets together in a unified, end-to-end solution, enabling semantic interoperability across your healthcare ecosystem.
With robust analytics and reporting, EXLVANTAGE™ supports Payers, Providers, PBMs, Brokers, Employers and Life Science Companies with a wide variety of modular solutions.
We process data for over 275 million lives, more than 95% of carriers in the US, using our high quality data management framework.
We pull data from a large and diverse number of sources, from medical and pharmacy claims to disability and workers’ compensation, to create a full view of members driven by a transparent and configurable clinical library that is updated with codes & guidelines on a monthly basis.
EXLVANTAGE™ comes with a benchmark derived from over 100 million lives, with ability to adjust risk based on a variety of determinants.
With EXLVANTAGE™, you can
- Create custom visualizations to analyse the long-term effects of disease on cost, identify trends, and predict future impacts.
- Access reporting tools like Power BI and Tableau
- Build advanced machine learning models
- Access a query experience with the most recent data.
Featured insights
Solution sheet
Second-level coding review with NLP technology and exper...
Solution sheet
Second-level coding review with NLP technology and expert validation
Many health plans still struggle with incomplete or inaccurate risk adjustment submissions despite high-quality first-pass coding. As the industry landscape continues evolving around compliance audits, health plans face increasing pressure to find cost effective solutions to reduce their risk exposure.
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Solution sheet
Many health plans still struggle with incomplete or inaccurate risk adjustment submissions despite high-quality first-pass coding. As the industry landscape continues evolving around compliance audits, health plans face increasing pressure to find cost effective solutions to reduce their risk exposure.
White paper
Predictive Analytics: The perfect tonic to bolster risk ...
White paper
Predictive Analytics: The perfect tonic to bolster risk adjustment initiatives
Analytics is typically used to make sense of data. Traditionally, it results in an understanding of the past. Predictive analytics is turning this equation on its head by moving beyond retrospective analysis and providing insights on what is likely to happen in the future.
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White paper
Analytics is typically used to make sense of data. Traditionally, it results in an understanding of the past. Predictive analytics is turning this equation on its head by moving beyond retrospective analysis and providing insights on what is likely to happen in the future.
White paper
Foundational risk adjustment transformation drives signi...
White paper
Foundational risk adjustment transformation drives significant improvement in value-based programs
NEMG Partners with EXL Health, leveraging embedded data & analytics in its operations, to achieve sustained value-based care performance results for risk-bearing Medicare population.
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White paper
NEMG Partners with EXL Health, leveraging embedded data & analytics in its operations, to achieve sustained value-based care performance results for risk-bearing Medicare population.
Case study
Risk stratification scoring model for vulnerable populat...
Case study
Risk stratification scoring model for vulnerable populations
At the start of the COVID-19 pandemic, the healthcare community faced many uncertainties. ERs were flooded with COVID patients and providers saw utilization rates for scheduled patients drop dramatically, causing a gap in patient care and decreased revenue.
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Case study
At the start of the COVID-19 pandemic, the healthcare community faced many uncertainties. ERs were flooded with COVID patients and providers saw utilization rates for scheduled patients drop dramatically, causing a gap in patient care and decreased revenue.
White paper
Streamline and simplify HEDIS retrospective data collect...
White paper
Streamline and simplify HEDIS retrospective data collection
It happens every spring: HEDIS data abstraction and submission for the previous years’ measures. During peak season, payers and providers alike rush to collect and complete requests for medical records, claims, data verification, and audits. While HEDIS is an effective tool to ensure care is meeting quality standards, it can put a strain on both overworked staff and relationships with providers and members.
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White paper
It happens every spring: HEDIS data abstraction and submission for the previous years’ measures. During peak season, payers and providers alike rush to collect and complete requests for medical records, claims, data verification, and audits. While HEDIS is an effective tool to ensure care is meeting quality standards, it can put a strain on both overworked staff and relationships with providers and members.
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