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Authors :- Prof. Richa Saxena, Anirudh Jindal, Anusha Phadke, Anushka Sharma, Ashwin Sharma, Asmeet Kaur

Volume/Issue:  Volume 2 Issue 11

Google Scholar :-
 https://goo.gl/DF9R4u

Scribd :- 
https://goo.gl/M18F9J

Thomson Reuters :- https://goo.gl/3bkzwv

Data mining has been extensively by many sectors across the globe. In the Healthcare Industry it is not only beneficial to patients but also aids owners, employers, employees, insurance companies and multiple other parties involved in the same. From our research we observed that Data mining applications can help in managing patient files/records, making customer relationship management decisions, physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services. Furthermore, it was seen that huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analysed by traditional methods. Here is where Operations Research techniques come in the picture. Operations Research provides the methodology and technology to transform these mounds of data into useful information for decision making. Hence, the combination of using Operations Research and Data Mining in the Healthcare Industry has become exceedingly popular if not necessary. We thus wanted to do an in-depth study of this combination in the Healthcare Industry.