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Performance Improvements to a Large Scale Public Health Data and Analytics Platform: A Technical Perspective

A Case Study of a Large Public Health Data and Analytics Program for a State Government in India

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New Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 445))

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Abstract

Public Health planning and administration comprises 3 broad functions viz., health needs assessments, policy development, and administration of services. Health Informatics plays a significant role for effectiveness of each of these functions. This paper presents practical technical learnings from implementation of performance improvement measures for a large Open Source based Data Analytics platform for Public Health. This paper is unique in its attempt to categorize the problem on the above lines. The authors present a study of a real-life large data warehouse and public health data mining implementation that has faced significant challenges and discuss solutions to address those challenges. With rapidly changing technology landscape, specifically in data and analytics space, dynamic changes to population composition and the resultant expectations from public health, research focused on public health data integration and data mining needs higher attention. The paper concludes with summary of best practices discussed and future directions.

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References

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Author information

Authors and Affiliations

  1. Health Analytics Solution Factory, Accenture, India

    Arun Sundararaman, Suresh Pargunarajan & Srinivasan Valady Ramanathan

Authors
  1. Arun Sundararaman
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  2. Suresh Pargunarajan
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  3. Srinivasan Valady Ramanathan
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Corresponding author

Correspondence to Arun Sundararaman .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. ISEGI,, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  4. DSI, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

  5. Rua Dom Manoel de Medeiros, s/n, DoisIrm, Universidade Federal Rural de Pernambuco, Recife, Brazil

    Marcelo Mendonça Teixeira

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Sundararaman, A., Pargunarajan, S., Ramanathan, S.V. (2016). Performance Improvements to a Large Scale Public Health Data and Analytics Platform: A Technical Perspective. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-319-31307-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-31307-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31306-1

  • Online ISBN: 978-3-319-31307-8

  • eBook Packages: EngineeringEngineering (R0)

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