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Blockchain Technology and Artificial Intelligence Based Decentralized Access Control Model to Enable Secure Interoperability for Healthcare

Author

Listed:
  • Sumit Kumar Rana

    (Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to Be University), Ambala 133207, India)

  • Sanjeev Kumar Rana

    (Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to Be University), Ambala 133207, India)

  • Kashif Nisar

    (College of Computer Science and Information Systems, Institute of Business Management, Korangi Creek Road, Karachi 75190, Sindh, Pakistan
    Faculty of Computing and Informatics, University Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Ag Asri Ag Ibrahim

    (Faculty of Computing and Informatics, University Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Arun Kumar Rana

    (Panipat Institute of Engineering and Technology, Samalkha 132101, India)

  • Nitin Goyal

    (Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, India)

  • Paras Chawla

    (Associate Dean-Curriculum Development (DAA), Chandigarh University, Mohali 140110, India)

Abstract

Healthcare, one of the most important industries, is data-oriented, but most of the research in this industry focuses on incorporating the internet of things (IoT) or connecting medical equipment. Very few researchers are looking at the data generated in the healthcare industry. Data are very important tools in this competitive world, as they can be integrated with artificial intelligence (AI) to promote sustainability. Healthcare data include the health records of patients, drug-related data, clinical trials data, data from various medical equipment, etc. Most of the data management processes are manual, time-consuming, and error-prone. Even then, different healthcare industries do not trust each other to share and collaborate on data. Distributed ledger technology is being used for innovations in different sectors including healthcare. This technology can be incorporated to maintain and exchange data between different healthcare organizations, such as hospitals, insurance companies, laboratories, pharmacies, etc. Various attributes of this technology, such as its immutability, transparency, provenance etc., can bring trust and security to the domain of the healthcare sector. In this paper, a decentralized access control model is proposed to enable the secure interoperability of different healthcare organizations. This model uses the Ethereum blockchain for its implementation. This model interfaces patients, doctors, chemists, and insurance companies, empowering the consistent and secure exchange of data. The major concerns are maintaining a history of the transactions and avoiding unauthorized updates in health records. Any transaction that changes the state of the data is reflected in the distributed ledger and can be easily traced with this model. Only authorized entities can access their respective data. Even the administrator will not be able to modify any medical records.

Suggested Citation

  • Sumit Kumar Rana & Sanjeev Kumar Rana & Kashif Nisar & Ag Asri Ag Ibrahim & Arun Kumar Rana & Nitin Goyal & Paras Chawla, 2022. "Blockchain Technology and Artificial Intelligence Based Decentralized Access Control Model to Enable Secure Interoperability for Healthcare," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9471-:d:878419
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    References listed on IDEAS

    as
    1. Arun Kumar & Sharad Sharma & Aman Singh & Ayed Alwadain & Bong-Jun Choi & Jose Manual-Brenosa & Arturo Ortega-Mansilla & Nitin Goyal, 2021. "Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things," Sustainability, MDPI, vol. 14(1), pages 1-36, December.
    2. Kristoffer Francisco & David Swanson, 2018. "The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency," Logistics, MDPI, vol. 2(1), pages 1-13, January.
    3. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
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    Cited by:

    1. Yuqing Jin & Zhidan Shen & Jianxu Liu & Roengchai Tansuchat, 2023. "The Impact of the Digital Economy on the Health Industry from the Perspective of Threshold and Intermediary Effects: Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Nikola Savanović & Ana Toskovic & Aleksandar Petrovic & Miodrag Zivkovic & Robertas Damaševičius & Luka Jovanovic & Nebojsa Bacanin & Bosko Nikolic, 2023. "Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning," Sustainability, MDPI, vol. 15(16), pages 1-28, August.

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