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A Conceptual Architectural Design for Intelligent Health Information System: Case Study on India

In: Quality, IT and Business Operations

Author

Listed:
  • Sachin Kumar

    (University of Delhi)

  • Saibal K. Pal

    (SAG)

  • Ram Pal Singh

    (University of Delhi)

Abstract

The Indian health system is becoming very complex and large and faces a lack of developed policy, time bound and real-time solutions, and tracking and absence of advanced data collection and data analysis technologies. The problem becomes more complex when collected data are merged and analysed. These merged data result in the categories of big data having more dimensions which need more sophisticated approaches and intelligent systems for getting useful information to be used further in policy and decision making. An intelligent health system would result in better health policy making, execution, and faster modification if something is not right. The objective of this chapter is to present the new framework in the health care sector and enhance the idea of innovative discussions on how government schemes approach big data analytics to develop a public health system. This chapter first discusses the health sector problem in India and analyses the solution with the integration of machine learning and big data analytics approaches. It also proposes an intelligent architecture of a machine learning framework for developing accurate, effective, decentralised, and dynamic health insights for policy decision making to resolve health-related issues.

Suggested Citation

  • Sachin Kumar & Saibal K. Pal & Ram Pal Singh, 2018. "A Conceptual Architectural Design for Intelligent Health Information System: Case Study on India," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 1-15, Springer.
    • Handle: RePEc:spr:prbchp:978-981-10-5577-5_1
    DOI: 10.1007/978-981-10-5577-5_1
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    Cited by:

    1. Sachin Kumar & Shivam Panwar & Jagvinder Singh & Anuj Kumar Sharma & Zairu Nisha, 2022. "iCACD: an intelligent deep learning model to categorise current affairs news article for efficient journalistic process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2572-2582, October.

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