19Analysis of Business Intelligence in Healthcare Using Machine Learning

Vipin Kumar1, Chelsi Sen2, Arpit Jain3*, Abhishek Jain4 and Anu Sharma5

1Department of CSE, Medi-Cap University Indore, India

2Department of CSE, AKGEC, Ghaziabad, India

3Department of CSE, Koneru Lakshmaiah Education Foundation, A.P., India

4Computer Science and Engineering Department Uttaranchal Institute of Technology Uttaranchal University, Dehradun, India

5Department of Computer Science and Engineering, Tirthankar, Mahaveer University Moradabad, Uttar Pradesh, India


The healthcare industry is experiencing rapid changes, and in ensuring compliance with constitutional and customer-specific requirements, outcomes encounter a growing need for clinical and administrative data. Business intelligence (BI) is emerging as a potential solution to the current challenge. Although previous BI research has mainly focused on the industrial sector, this contribution aims to adapt the recent findings to the healthcare context. With diverse data formats available, accessing it across different departments is complex, making it challenging to assemble and interpret. However, BI tools have played a significant role in the healthcare industry, providing a robust environment for accessing and analyzing data. This paragraph also discusses the effective use and future potential of BI in the healthcare industry.

Keywords: Business intelligence, healthcare, ETL

19.1 Introduction

Business intelligence (BI) is a broad ...

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