Latent
3 Case Studies
A Latent Case Study
Yale New Haven Health System (YNHHS) faced significant delays in providing patients with critical medications due to a completely manual and overburdened prior authorization process. Their specialty pharmacy was overwhelmed, leading to treatment delays that impacted both patients and staff. To address this medication access crisis, YNHHS partnered with the vendor Latent.
Latent provided an AI-powered solution that automated the prior authorization workflow, drastically reducing the manual burden on staff. The implementation led to a 75% reduction in review time and a turnaround time of under one hour for approvals. Most significantly, YNHHS achieved a 109% increase in prior authorization throughput per team member without adding any headcount, allowing their staff to focus on complex cases and direct patient care.
Vinay Sawant
Executive Director