Reimagining Prior Authorization with AI Decisioning in Pega
Prior authorization (PA) is a critical yet time-consuming process in the healthcare ecosystem, often causing delays in patient care and administrative burdens for providers and payers.This article presents how Pega's AI-powered decisioning engine, coupled with dynamic case management and real-time integrations, is transforming PA workflows.By leveraging natural language processing (NLP) to analyze clinical documentation, AI-driven rules for eligibility verification and automated routing, healthcare organizations can drastically reduce turnaround time, enhance compliance and improve overall patient satisfaction.This next-gen approach not only closes the loop on traditional gaps in prior auth but also lays the foundation for a scalable, intelligent healthcare automation strategy.
Authors
- Ramesh Pingili
Institutions
- Pega (United States) (US)
Publication Details
- Journal
- Journal of Artificial Intelligence Machine Learning and Data Science
- Published
- 2025-04-21
- DOI
- https://doi.org/10.51219/jaimld/ramesh-pingili/548
- Primary Topic
- Philosophy and Theoretical Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00