Data Integration and Predictive Analysis for Healthcare: Survey

Abstract

In modern healthcare, handling of medical data is often divided, with sensitive information stored in various formats in documents like prescriptions, lab reports and patient summaries. The lack of standardization and management of such data can lead to errors and inefficiency in patient care. Various techniques like HCR, OCR, machine learning algorithms are for the purpose of data integration and predictive analysis. The aim of this paper is to conduct the survey of various techniques used in healthcare systems and domain for data handling and performing operations like predictive analysis on that data. We have reviewed and shortlisted 7 papers and the methods used in those studies. This survey is beneficial to those who wish to manage and store data of healthcare and use the same for their respective purposes.