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.
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References
Burghard B (2012) Big data and analytics key to accountable care success. IDC Health Insights
Chaulagai CN, Moyo CM, Koot J, Moyo HB, Sambakunsi TC, Khunga FM, Naphini PD (2005) Design and implementation of a health management information system in Malawi: issues, innovations and results. Health Policy Plan 375ā384. doi: 10.1093/heapol/czi044
Connected Health: The drive to integrated healthcare delivery. Accenture. http://www.himss.eu/sites/default/files/Accenture-Connected-Health-Global-Report-Final-Web.pdf
Digital India a programme to transform India into digital empowered society and knowledge economy. http://pib.nic.in/newsite/erelease.aspx?relid=108926. Accessed on 26 Jan 2015
Fan V, Luthra S (2012) Healthcare in India: a call for innovative reform. The National Bureau of Asian Research for the Senate India Caucus. http://www.nbr.org/downloads/pdfs/Outreach/
Greener M (2005) Drug safety on trial. EMBO reports
Health Care in India ā Vision 2020 Issues and Prospects (2012) Planning Commission. http://www.planningcommission.nic.in/reports
Kumar R (2012) Academic institutionalization of community health services: way ahead in medical education reforms. J Family Med Prim Care 1019. doi: 10.4103/2249-4863.94442
Mozambique through Malaria Incidence Prediction (2013) IIMC International Information Management Corporation. http://www.planningcommission.nic.in/reports/genrep/bkpap2020/
Raghupati W KS (2010) Data mining in health care. In: Health informatics: improving efficiency and productivity. Taylor & Francis, USA, ppĀ 211ā223
Raghupathi W, Raghupathi V (2014) Big data analytics in healthcare: promise and potential. Health Inf Sci Syst 2:1ā10
Singh S, Badaya S (2014) Health care in rural India: a lack between need and feed. South Asian J Cancer 143144. doi: 10.4103/2278-330X.130483
Wootton R, Nivritti GP, Scott RE, Telehealth in the developing world. http://www.idrc.ca/EN/Resources/Publications/openebooks/396-6/index.html
Yoo C, Ramirez L, Liuzzi J (2014) Big data analysis using modern statistical and machine learning methods in medicine. Int Neurourol J 18(2):50ā57
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Kumar, S., Pal, S.K., Singh, R.P. (2018). A Conceptual Architectural Design for Intelligent Health Information System: Case Study on India. In: Kapur, P., Kumar, U., Verma, A. (eds) Quality, IT and Business Operations. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-10-5577-5_1
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