Empowering Education: Healthcare Revenue Cycle Management and Their Role in Learning Enhancement Using Azure Data Engineering Stack.
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Empowering Education: Healthcare Revenue Cycle Management and Their Role in Learning Enhancement Using Azure Data Engineering Stack.
Mangesh Fulbone1, Sameer Kakade 2
1Dept of MCA, Trinity Academy of Engineering, Pune, India
2 Assistant Professor, Trinity Academy of Engineering, Pune, India
Abstract:
In the rapidly evolving landscape of healthcare and education, leveraging technology to bridge the gap between industry practices and academic learning has become crucial. This research explores the integration of Healthcare Revenue Cycle Management (RCM) systems with modern educational methodologies through the application of Microsoft Azure's Data Engineering Stack.
The study emphasizes how real-world healthcare financial data, when harnessed using tools like Azure, Azure Data Factory, Synapse Analytics, DataBricks, Apache Spark, Apache Airflow and PySpark can enrich educational experiences, foster practical data analytics skills, and enhance curriculum relevance. By designing a prototype pipeline that simulates the end-to-end data flow of RCM processes, the paper demonstrates how educators and students can gain insights into operational efficiencies, predictive analytics, and compliance monitoring within healthcare. Additionally, the research highlights the role of cloud-based platforms in creating scalable, secure, and interactive learning environments.
The findings underline the transformative potential of aligning healthcare informatics with data-driven education, offering a roadmap for academic institutions aiming to produce industry-ready graduates with both technical and domain-specific expertise.
KEYWORDS:
Healthcare Revenue Cycle Management (RCM), Azure Data Engineering, Educational Enhancement, Data Analytics in Education, Azure Synapse Analytics, Azure Data Factory, Healthcare Informatics, Cloud-based Learning, Microsoft Azure, Data-driven Education, Ed Tech, Revenue Cycle Data, Healthcare Analytics, Azure Databricks, Curriculum Development.
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