Our innovative, patented products dig deeply into your data-clinical and claims, structured and unstructured-using NLP, CQL, and other technologies to mine insights that boost your quality rates and improve population health. Our native FHIR/CQL digital measure engine is the first of its kind, built to support and accelerate the transition to Digital Quality.
Population surveillance and targeted insights to improve your quality outreach impact.
Learn MorePrepare for digital HEDIS® with one the first NCQA-certified, native FHIR and CQL Digital HEDIS® engines.
Learn MoreUnstructured data platform fits within your existing data architecture to support risk adjustment, quality, and other chart-based activities.
Learn MoreTransform your health plan or ACO quality operations by moving to year-round prospective HEDIS®, transitioning your tech to digital quality measures, and refocusing quality efforts on surveillance and intervention. Astrata’s AI-driven workflow tools improve the efficiency of your clinical staff by 760%.
Learn MoreLearn more about how leading regional health plans saved millions in costs, drastically improved efficiencies, and supported higher quality ratings via NLP-Assisted Prospective HEDIS®.
See All Case StudiesThan standard practice
Potential for reduced abstraction costs
Full Year | 10-person team
Gaps closed per abstractor.
Gaps per Abstractor Potential for gaps closed in prospective season
Astrata’s Natural Language Processing (NLP) AI platform is based on a mature but highly innovative technology that we developed over almost two decades, funded by the National Institutes of Health. It combines multiple NLP, Machine Learning (ML), and AI techniques to achieve the best accuracy in the industry for healthcare quality measurement.
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Data to Engine to Abstraction to Transformation: a complete NLP-driven platform built for the future of digital Quality Cloud-based, HIPAA-compliant, secure, portable, and extensible.
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March 17, 2026 | CQL and FHIR, Digital Quality Measures (DQM), Digital Quality Transformation, Quality Improvement, Star Ratings, Uncategorized, Year Round Prospective HEDIS®
This two-part blog addresses two related “time” problems facing health plans pursuing digital HEDIS® measurement: Part 1: What the yearly cycle of release, validation, and deployment should look like in the digital future Part 2: How health plans can realistically transition from traditional HEDIS® to digital quality measurement by 2030 These two timelines are deeply connected. Without a stable…
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