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

Sachin Kumar (), Saibal K. Pal () and Ram Pal Singh ()
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Sachin Kumar: University of Delhi
Saibal K. Pal: SAG
Ram Pal Singh: University of Delhi

A chapter in Quality, IT and Business Operations, 2018, pp 1-15 from Springer

Abstract: 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.

Keywords: Health Intelligence; Conceptual Architectural Design; Public Primary Health Care System; Mobile Telecom Service Providers; Data Visualisation (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-981-10-5577-5_1

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