Big data analytic on block chain across healthcare sector

  • Authors

    • Miss. Shilpa
    • Er Rahul Sharma
    • Mr Sartaj Singh
    2018-05-29
    https://doi.org/10.14419/ijet.v7i2.30.13455
  • Block Chain, Ecosystem, Decentralized, Cryptocurrencies, Miners, Bitcoin, Security, Interoperability.

  • Block chain is a decentralized transactional methodology for authorization and updates, in the Cryptocurrencies ecosystem. It is an exploring way in the Cryptocurrencies ecosystem to bit traditional corporate such as the mainstream healthcare and finance.

    The responsive nature of healthcare data along the lasting provocation of inter-synchronization, healthcare info exchange and patient record matching has created opportunities for a Block chain to maintain the victory of the challenge.

    The proposed paper aims to put Block chain technology or network based peer to peer authenticate layer on medical big data, for either information portability or set permission during third party involvement during some relevant big data analytic or findings. Based upon propose approaches, healthcare big data can be derived among multiple healthcare service providers, patients and analytic platforms with secure node to node distribution without any centralized ledger or storage point.

     

     

  • References

    1. [1] Wullianallur Raghupathi, Viju Raghupathi. (2014). big data analytics in healthcare: promise and potential. Raghupathi and Raghupathi Health Information Science and Systems 2014.

      [2] Karim Abouelmehdi, Abderrahim Beni‑Hessane and Hayat Khaloufi. (2018). big healthcare data: preserving security and privacy. Journal of Big Data. Department of Computer Science Laboratory LAMAPI and LAROSERI, Chouaib Doukkali University, El Jadida, Morocco.

      [3] Mohammad Ahmad Alkhatib, Amir Talaei-Khoei and Amir Hossein Ghapanchi. (2015). Analysis of Research in Healthcare Data Analytics. In Proceedings of Australasian Conference on Information Systems, Sydney (2015).

      [4] Sanskruti Patel and Atul Patel. (2016). A B S Ig Data Revolution in Health Care Ector: Opportunities, Challenges and Technological Advancements. In Proceedings of the International Journal of Information Sciences and Techniques (Ijist) Vol.6, No.1/2, March 2016.

      [5] Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard and Kayvan Najarian. (2015). Big Data Analytics in Healthcare. BioMed Research International, Volume 2015, Article ID 370194. Hindawi Publishing Corporation.

      [6] Lidong Wang and Cheryl Ann Alexander. (2015). Big Data in Medical Applications and Health Care. Current Research in Medicine 2015, 6 (1): 1.8.

      [7] Big Data Technologies in Healthcare- Needs, opportunities and challenges. Big Data Value Association. (2016).

      [8] Paola Cerchiello and Paolo Giudici. (2016). Big data analysis for financial risk management. Open access Journal of Big Data.

      [9] Liang Y1 and Kelemen A. (2016). Big Data Science and its Applications in Healthcare and Medical Research: Challenges and Opportunities. Austin Biom and Biostat - Volume 3 Issue 1 – 2016. Austin Publishing Group, U.S.A.

      [10] Asaph Azaria, Ariel Ekblaw, Thiago Vieira and Andrew Lippman. (2016). MedRec: Using Blockchain for Medical Data Access and Permission Management. In proceedings 2nd International Conference on Open and Big Data (2016). IEEE Computer Society.

      [11] Mehdi Benchoufi and Philippe Ravaud. (2017). Blockchain technology for improving clinical research quality. Benchoufi and Ravaud Trials (2017). BioMed Central.

      [12] Matthias Mettler. (2016). Blockchain Technology in Healthcare- The Revolution Starts Here. In Proceedings of the IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).

      [13] Tsung-Ting Kuo, Hyeon-Eui Kim and Lucila Ohno-Machado. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. In proceedings of the Journal of the American Medical Informatics Association, 24(6), 2017, 1211–1220. Advance Access Publication, OXFORD.

  • Downloads

  • How to Cite

    Shilpa, M., Rahul Sharma, E., & Sartaj Singh, M. (2018). Big data analytic on block chain across healthcare sector. International Journal of Engineering & Technology, 7(2.30), 10-14. https://doi.org/10.14419/ijet.v7i2.30.13455