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Askarzadeh H, Tarokh M J. Discover self-referral between Doctors and Pharmacists Based on Network Mining. Iran J Health Insur 2019; 1 (4) :153-158
URL: http://journal.ihio.gov.ir/article-1-50-en.html

Introduction: A significant amount of treatment cost is paid by health insurance organization. Insurance companies, mostly, use certified people to consider documents, but according to the number of documents and the limitation of time and human resource, consider documents carefully is almost impossible and more importantly, some infringements are not identifiable According to only one document but is identifiable by accumulation of documents and intelligent analysis based on data mining. Detection of beneficial referral (self-referral and kickback) that a doctor refers a patient to a specific pharmacy that has benefits for him, is one of these things.
Methods: In this research, data warehouse was prepared by using Tehran health insurance data until 1396 and then after eliminating faulty data, according to network mining methods, actions for detecting anomalistic referrals on the network, data filtering and weighing the edges of the network based on certified people views, were taken. This method was implemented in Knime environment and a short list was presented to health insurance organization’s monitoring department for considering.
Results: In this research, according to the importance of detected interactions during network mining‘s process between doctors and pharmacies, and using visual tools in Knime, 73 doctors were detected that had meaningful relation with 26 pharmacies.
Conclusions: Inspectors of health insurance organization can have a more accurate and more effective examination with spending less time and human resource according to examination patterns based on network mining and visualization.