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Cited by 49Blockchain Technology Applications and SecurityInternet of Things and AIInnovation in Digital Healthcare Systems

Big Data and blockchain supported conceptual model for enhanced healthcare coverage: The Indian context

Dhagarra, Devendra, Goswami, Mohit, Sarma, P.R.S., Choudhury, Abhijit·2019·Business Process Management Journal
DOI 10.1108/bpmj-06-2018-0164
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Abstract

Abstract Purpose Significant advances have been made in the field of healthcare service delivery across the world; however, health coverage particular for the poor and disadvantaged still remains a distant dream in developing world. In large developing countries like India, disparities in access to healthcare are pervasive. Despite recent progress in ensuring improved access to health care in past decade or so, disparities across gender, geography and socioeconomic status continue to persist. Fragmented and scattered health records and lack of integration are some of the primary causes leading to uneven healthcare service delivery. The devised framework is intended to address these challenges. The paper aims to discuss these issues. Design/methodology/approach In view of such challenges, in this research a Big Data and blockchain anchored integrative healthcare framework is proposed focusing upon providing timely and appropriate healthcare services to every citizen of the country. The framework uses unique identification number (UID) system as formalized and implemented by the Government of India for identification of the patients, their specific case histories and so forth. Findings The key characteristic of our proposed framework is that it provides easy access to secure, immutable and comprehensive medical records of patients across all treatment centers within the country. The model also ensures security and privacy of the medical records based upon the incorporation of biometric authentication by the patients for access of their records to healthcare providers. Originality/value A key component of our evolved framework is the Big Data analytics-based framework that seeks to provide structured health data to concerned stakeholders in healthcare services. The model entails all pertinent stakeholders starting from patients to healthcare service providers.

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Crossref · 10.1108/bpmj-06-2018-0164

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  • Prior studies suggested multiple means-efficient authentication, biometric authentication, user verification, and dual signatures-to achieve data protection.

    “Multiple means, such as efficient authentication (Nagasubramanian et al., 2018), biometric authentication (Dhagarra et al., 2019), user verification (Hussein et al., 2018), and the use of dual signatures (Li et al., 2019) have been suggested to achieve this objective.”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Dhagarra et al., 2019

  • Dhagarra et al. posit inaccessibility of certain groups (e.g., refugees) and existence of central identification database as additional constraints.

    “Dhagarra et al. (2019) further posit the inaccessibility of certain groups, such as refugees, to a country's healthcare system and the existence of a central identification database for patients, as additional constraints.”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Dhagarra et al., 2019

  • Dhagarra et al. acknowledge performance contingent on country-wide Internet connectivity.

    “Dhagarra et al. (2019) acknowledge that the performance of their proposed architecture would be contingent on users' country-wide access to Internet connectivity.”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Dhagarra et al., 2019

  • Certain studies pointed to socially-oriented concerns about public data sharing and users' trust in governments.

    “However, certain studies have also pointed to more sociallyoriented concerns about public data sharing (Wong et al., 2019) and users' trust in governments (Dhagarra et al., 2019).”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Dhagarra et al., 2019

  • Interoperability, authentication, and secure sharing of medical data are critical issues addressed by blockchain applications.

    “Interoperability, authentication, and secure sharing of medical data are critical issues being addressed by blockchain applications (Dhagarra et al., 2019;Dimitrov, 2019).”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Dhagarra et al., 2019

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Authors
Dhagarra, D., Goswami, M., Sarma, P. R. S., & Choudhury, A.
Affiliations
  • Indian Institute of Management Raipur (IN)
  • Campbell Soup (United States) (US)
ORCID
Venue
Business Process Management Journal
Publisher
Emerald
Published
2019-03-28
ISSN
1463-7154 (ISSN-L)
DOI
10.1108/bpmj-06-2018-0164
OpenAlex
W2929222401
Cited by
49
References
50
Citations by year
2025: 6 · 2024: 9 · 2023: 3 · 2022: 13 · 2021: 12 · 2020: 6
FWCI
9.64
Type
journal article
Language
en
Open access
closed
Licence
www.emeraldinsight.com/page/tdm (tdm)
Locations
Business Process Management Journal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
Keywords
blockchain, big data analytics, health care access, medical records security, biometric authentication, unique identification number, health disparities, India, health care delivery, data privacy

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