University of Toledo Health Expands Nabla AI Deployment After Measurable Gains
University of Toledo Health expands Nabla’s ambient AI after a pilot shows faster chart closure, reduced backlog, and improved revenue cycle performance.
University of Toledo Health has expanded its deployment of ambient AI documentation software from Nabla after an evaluation showed measurable improvements in documentation speed and revenue cycle performance, according to a press release.
The academic health system selected Nabla following an evaluation of multiple AI documentation tools, citing its ability to integrate into clinical workflows and adapt through collaboration with clinicians and engineering teams. The rollout will extend to hundreds of physicians and advanced practice providers across the organization.
Nabla integrates with the Epic electronic health record (EHR) system, allowing clinicians to generate structured documentation during patient encounters within existing workflows. During an eight-week evaluation, clinicians reduced time to chart closure by 29%, according to the organization.
The health provider said documentation backlogs in several departments fell from more than 400 open charts to fewer than 30.
The health system also reported improvements in documentation completeness and coding specificity. These changes supported more accurate capture of higher-acuity visits and contributed to stronger revenue cycle performance.
The results led University of Toledo Health to move forward with broader deployment across specialties.
Ryan Sadeghian, Chief Medical Informatics Officer at University of Toledo Health, said the organization worked directly with Nabla’s research and engineering teams during the evaluation process. He said the collaboration enabled iterative improvements to the system based on clinical use.
According to Ed Lee, Chief Medical Officer at Nabla, ambient AI systems integrated into workflows allow clinicians to remain focused on patient interactions while documentation is generated alongside care delivery.
University of Toledo Health said it is evaluating additional applications for the technology, including documentation completeness checks, coding support, and revenue cycle optimization.
Nabla’s platform is used across more than 150 health systems and provider groups and supports more than 35 languages.
The deployment adds to Nabla’s recent health system rollouts, including a systemwide implementation at M Health Fairview following a pilot focused on workflow integration and documentation efficiency.