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Secure Blockchain-Based Mental Healthcare Framework:—A Paradigm Shift from Traditional to Advanced Analytics

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Quantum and Blockchain for Modern Computing Systems: Vision and Advancements

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 133))

Abstract

Modern state-of-the-art technologies, ranging from advanced statistical approaches to deep learning technologies, have fundamentally transformed the digital data world, notably in the healthcare industry. Artificial intelligence (AI), machine learning (ML), blockchain, and deep learning (DL) technologies have all evolved in the recent decade and have piqued the interest of a variety of sectors ranging from industries to environment, wellness to health, commerce to service sectors The latest technological breakthroughs are allowing for new approaches to exploit untapped opportunities in mental healthcare. Inside this mental health care sector, the value proposition for blockchain technology is to securely transmit sensitive patient data among health care institutions while also empowering patients. The healthcare sector and related organizations have begun to adopt state-of-the-art technologies for value-based healthcare diagnosis, but there is still a long way to go because the challenges these organizations face are multidimensional and necessitate the use of appropriate techniques that cannot be trumped. The purpose of this article is to learn about the technology's fundamentals, the crucial impact it can play in the mental healthcare field, and draw attention towards the conceptual framework for secure mental health analytics to be practically worked upon soon. It is crucial to note that determining the entire benefits of blockchain at this time is difficult. We won't be able to arrive at a realistic conclusion on the technology's usefulness until and until it is widely adopted and employed.

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Notes

  1. 1.

    Market research future. https://www.marketresearchfuture.com/reports/clinical-data-analyticsmarket-2520. Accessed 30 January 2022.

  2. 2.

    https://estech.shinyapps.io/prisma_flowdiagram/.

  3. 3.

    Mckinsey [https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-era-of-exponential-improvement-in-healthcare. [Acessed on 23–01-2022].

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India

    Tawseef Ahmad Naqishbandi, E. Syed Mohammed & S. Venkatesan

  2. Department of Information Technology, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India

    A. Sonya

  3. College of Information Technology, University of Fujairah, Fujairah, UAE

    Korhan Cengiz

  4. Electrical Engineering Department, Indian Institute of Technology, Jammu & Kashmir, 181221, India

    Yusra Banday

Authors
  1. Tawseef Ahmad Naqishbandi
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  2. E. Syed Mohammed
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  3. S. Venkatesan
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  4. A. Sonya
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  5. Korhan Cengiz
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  6. Yusra Banday
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Correspondence to E. Syed Mohammed .

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Editors and Affiliations

  1. Department of Systemics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Adarsh Kumar

  2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  3. Scientific Network for Innovation and Researsch Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

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Ahmad Naqishbandi, T., Syed Mohammed, E., Venkatesan, S., Sonya, A., Cengiz, K., Banday, Y. (2022). Secure Blockchain-Based Mental Healthcare Framework:—A Paradigm Shift from Traditional to Advanced Analytics. In: Kumar, A., Gill, S.S., Abraham, A. (eds) Quantum and Blockchain for Modern Computing Systems: Vision and Advancements. Lecture Notes on Data Engineering and Communications Technologies, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-031-04613-1_12

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