Optimized Predictive Models in Health Care Using Machine Learning

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

Abstract

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 ...