AI-Driven Reusable Unified Extract for Multi-State Medicaid and Federal Reporting- a Product that saves Millions of Taxpayer Money through process efficiency and reusability
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V6I4P124Keywords:
MEDICAID, AI, Automation, Reusable data processing, Integrated data managementAbstract
The state and federal government policy developers of the United States are continuously exploring ways to enhance the strength of administering Medicaid facilities. Artificial intelligence (AI) is under research for implementation to offer these facilities to stakeholders, based on insights into security and the benefits of integrated data management. These processes involve different patient data dimensions, including insurance, medical history, diagnostic records, and other electronic healthcare records. The services. This technology enhances capabilities to support healthcare processes through AI-driven content utilization frameworks. These allow optimization of MEDICAID content extraction at the national level, with integrity, to create esteem extracts/ reports. Increasing the automation of complex content flows and enabling effective use of the content across various functions. This paper presents a literature review and reports on an AI-powered, reusable data processing framework for generating accurate reports on Medicaid services at the state and federal levels. This follows recommendations to increase processing esteem through these advancements
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