Transforming Prospective HEDIS through the power of NLP
Case Study Review: Astrata and CDPHP
Case Study Review: Astrata and CDPHP
May 16, 2022 | AI and NLP, Patents, Year Round Prospective HEDIS®
Astrata’s First Patent: Abstracting Information from Patient Medical Records
Last month, the US Patent Office granted Astrata’s first patent, Abstracting Information from Patient Medical Records, US 11,315,668 B2. This patent describes the Natural Language Processing innovations that power Astrata’s Chart Review. This NLP technology surfaces and prioritizes closable gaps across an entire member population, and guides abstractors directly to HEDIS-specific evidence in the medical record.
Rebecca Jacobson, MD, MS, FACMI
Co-Founder, CEO, and President
In a recent ROI study on Chart Review in use at UPMC Health Plan during the 2021 measurement year, medical abstractors closed gaps 7.6 times faster with Chart Review than standard practice, with potential cost savings of up to $5 million per year for year-round, prospective review.
Systems like Chart Review, and technologies like NLP, will enable NCQA’s digital quality initiatives, and let health plans scale up to year-round, population-wide HEDIS® without increasing staff. We’re proud of our NLP innovations and proud of Astrata’s clinicians, informaticians, and engineers who achieved this milestone.