ARTIFICIAL INTELLIGENCE: REVOLUTIONIZING PHARMACY BENEFIT MANAGEMENT SYSTEMS

The revolutionary effects of artificial intelligence on Pharmacy Benefit Management systems and the larger healthcare sector are examined in this thorough article.The article looks at how AI is transforming important PBM functions such as prior authorization procedures, data processing, and claims automation.It illustrates the important role of AI in increasing operating efficiency, cutting costs, and improving healthcare delivery through a thorough analysis of market trends, implementation tactics, and operational outcomes.The article covers a wide range of AI implementation topics, from early integration difficulties to measurable advantages and long-term effects, offering insightful information to healthcare companies thinking about implementing AI in their PBM operations.It specifically explores how sophisticated algorithms and machine learning capabilities in AI technologies are changing Ravi Kottur https://iaeme.com/Home/

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Publication Details

Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2024-12-24
DOI
https://doi.org/10.34218/ijrcait_07_02_195
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE: REVOLUTIONIZING PHARMACY BENEFIT MANAGEMENT SYSTEMS

Ravi Kottur
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Big Data and Business Intelligence
article

ARTIFICIAL INTELLIGENCE: REVOLUTIONIZING PHARMACY BENEFIT MANAGEMENT SYSTEMS

Ravi Kottur
article en

Abstract

The revolutionary effects of artificial intelligence on Pharmacy Benefit Management systems and the larger healthcare sector are examined in this thorough article.The article looks at how AI is transforming important PBM functions such as prior authorization procedures, data processing, and claims automation.It illustrates the important role of AI in increasing operating efficiency, cutting costs, and improving healthcare delivery through a thorough analysis of market trends, implementation tactics, and operational outcomes.The article covers a wide range of AI implementation topics, from early integration difficulties to measurable advantages and long-term effects, offering insightful information to healthcare companies thinking about implementing AI in their PBM operations.It specifically explores how sophisticated algorithms and machine learning capabilities in AI technologies are changing Ravi Kottur https://iaeme.com/Home/

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 7(2)
Bangalore University (IN)
Openalex Percentile: Top 62%
Big Data and Business Intelligence
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