Pacific Cataract and Laser Institute Lowers Rejection Rates and Cleans Up Claims
Even organizations with strong clean claims rates can face costly delays and inefficiencies caused by manual billing errors and inconsistent processes. In this case study, learn how Pacific Cataract and Laser Institute (PCLI) improved claim accuracy, reduced rejections, and streamlined billing workflows across its multi-location organization using intelligent automation.
Discover how the NextGen Charge Review Rules Engine helped PCLI automate claim corrections, standardize billing and coding procedures, and improve communication across teams operating in multiple states. See how automated workflows reduced manual effort, accelerated claim submission, and helped the organization achieve and maintain a rejection rate below 1% while supporting continuous operational improvement.
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