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.

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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
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article

Reimagining Prior Authorization with AI Decisioning in Pega

Ramesh Pingili
Journal of Artificial Intelligence Machine Learning and Data Science
Philosophy and Theoretical Science
article

Reimagining Prior Authorization with AI Decisioning in Pega

Ramesh Pingili
article en

Abstract

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.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(2)
Pega (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 91%
Philosophy and Theoretical Science
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