Collaboration of Blockchain and Machine Learning in Healthcare Industry
B L V V Kumar1, K Raja Kumar2
1Mr B L V Vinay Kumar, Asst Prof, Dept Of CSE GVP College of Engineering for Women Visakhapatnam.
2Dr K Raja Kumar, Asst Prof, Dept Of CS&SE, Andhra University Visakhapatnam
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2642-2645 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9871109119/2019©BEIESP | DOI: 10.35940/ijeat.A9871.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this paper is to explore the applications of blockchain in the healthcare industry. Healthcare sector can become an application domain of blockchain as it can be used to securely store health records and maintain an immutable version of truth. Blockchain technology is originally built on Hyperledger, which is a decentralized platform to enable secure, unambiguous and swift transactions and usage of medical records for various purposes. The paper proposes to use blockchain technology to provide a common and secured platform through which medical data can be accessed by doctors, medical practitioners, pharma and insurance companies. In order to provide secured access to such sensitive data, blockchain ensures that any organization or person can only access data with consent of the patient. The Hyperledger Fabric architecture guarantees that the data is safe and private by permitting the patients to grant multi-level access to their data. Apart from blockchain technology, machine learning can be used in the healthcare sector to understand and analyze patterns and gain insights from data. As blockchain can be used to provide secured and authenticated data, machine learning can be used to analyze the provided data and establish new boundaries by applying various machine learning techniques on such real-time medical data.
Keywords: Healthcare industry, Hyperledger, decentralized platform, doctors, medical practitioners, pharma and insurance companies.