New York Area Health System streamlines clinical evidence with Notable’s AI
6x ROI and over 4,000 incremental care gaps closed through AI-powered chart scrubbing
charts reviewed system-wide
new care gap closures identified
Care gap closure rate increase
Accuracy rate
The challenge
For a New York Area Health System, managing care gaps was more than just paperwork; it was holding back their ability to deliver on quality and efficiency. Every year, thousands of payer-submitted gaps arrived, but the supporting details were scattered in scanned documents and free-text notes across their EHR. With such a diverse and medically complex population, manual chart reviews just couldn’t keep up, leaving valuable patient care uncredited and staff stretched thin. The health system turned to Notable’s AI Platform to change that. By quickly surfacing clinical evidence in any format, the technology transformed an overwhelming process into a streamlined workflow that freed up staff and unlocked meaningful improvements in both care quality and performance.
The solution
The health system partnered with Notable to implement AI-powered chart scrubbing and Flow Builder automation that enabled system-wide, high-accuracy review of both structured and unstructured clinical data. With the ability to parse PDFs, scanned notes and non-standard formats, the solution surfaced supporting documentation previously overlooked in manual reviews. The implementation strategy included a collaborative pilot between Notable and the system’s Quality teams. This included a line-by-line validation, staged scaling and ongoing monthly audits to maintain accuracy and compliance. Digitizing and automating this workflow allowed the system to free staff from repetitive manual labor, focus on higher-value care and dramatically improve operational efficiency.
The results
The impact has been transformative and sustained. Since go-live, the health system has reviewed over 50,000 charts across its system, increasing the care gap closure rate from 3–4% to 7% and identifying more than 4,000 incremental gap closures that would otherwise have remained open. Accuracy in documentation identification exceeded 95%, while 4,000+ hours of staff time have already been saved. This is projected to surge beyond 10,000 annually as the solution scales. The financial results speak for themselves: $400,000 in ROI has been delivered on just $60,000 in production utilization, a powerful 6x return. Through close collaboration and strategic use of AI, the health system continues to set new standards for quality, efficiency and value-based care performance.