Advanced SQL Query Techniques for Data Analysis in Healthcare

Abstract

The experts in complex healthcare databases have acknowledged the need for advanced SQL query skills as more significant and diverse datasets grow in the modern healthcare environment. In this paper, core SQL methods including joins, subqueries, and window functions are explained and used for demonstrating the following practical use cases: predictive analytics, cohort analysis, and operational improvement. Several aspects of how SQL works with current and future technologies including, Artificial Intelligence, Cloud Computing, Big Data Solutions are also discussed. Optimizing health care data analysis requires the resolution of issues including date synthesis, security and performance; nevertheless, SQL continues to play a pivotal role in enhancing the analysis of health care data thus leading to improved management and patient care.