Astrata provides AI-powered HEDIS software that utilizes natural language processing and FHIR/CQL standards for efficient chart abstraction and data management. The platform enhances health plans' quality ratings by enabling year-round prospective HEDIS reviews and improving population health insights through advanced data analytics.
Funding
Funding not disclosed
Founders
Product
Problem
Health plans and Accountable Care Organizations (ACOs) face challenges in efficiently extracting and managing clinical data for Healthcare Effectiveness Data and Information Set (HEDIS) measures. Traditional chart abstraction methods are often time-consuming and costly, hindering timely quality improvement initiatives and accurate reporting. The increasing complexity of healthcare data, including unstructured formats, further exacerbates these issues.
Solution
Astrata provides an AI-powered platform designed to streamline HEDIS chart abstraction and improve data management for health plans and ACOs. The platform leverages Natural Language Processing (NLP) and machine learning to analyze both structured and unstructured clinical data, extracting relevant information for HEDIS reporting and quality measurement. By automating chart reviews and providing real-time analytics, Astrata enables organizations to identify care gaps, improve outreach efficiency, and transition to digital quality measures using FHIR and CQL standards. The platform's capabilities facilitate year-round prospective HEDIS reviews, population surveillance, and targeted interventions, leading to better clinical and financial outcomes.
Target Audience
Astrata primarily serves health plans and Accountable Care Organizations (ACOs) seeking to improve their HEDIS scores, streamline quality reporting, and transition to digital quality measures.
Features
- AI-powered chart abstraction using NLP for efficient HEDIS review
- Support for FHIR and CQL standards to enable digital quality measures
- Real-time analytics for identifying care gaps and quality improvement opportunities
- Population surveillance tools for targeted outreach and intervention
- Unstructured data management platform for risk adjustment and quality initiatives
- Native FHIR/CQL digital measure engine
- Cloud-based, HIPAA-compliant, secure, portable, and extensible architecture