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Smart Pharma: Towards Efficient Healthcare Ecosystem

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2017)

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Abstract

New innovative health related technologies will help people to empower them by making more aware of their health-related problems, early prevention and precaution of diseases. The technologies will be providing a platform for various disciplines of science to collaborate and solve problems people are facing. This paper proposes a smart pharma approach to empower the physician-patient relationship by utilizing new technological tools. Furthermore, a generic framework for efficient healthcare ecosystem is proposed to realize the smart pharma approach.

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Authors and Affiliations

  1. Department of Business Development and Technology, Aarhus University, Herning, Denmark

    Sadia Anwar & Ramjee Prasad

  2. Mehran University of Engineering and Technology, Jamshoro, Pakistan

    Sadia Anwar, Bhawani S. Chowdhry & Ramjee Prasad

Authors
  1. Sadia Anwar
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  2. Bhawani S. Chowdhry
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  3. Ramjee Prasad
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Corresponding author

Correspondence to Sadia Anwar .

Editor information

Editors and Affiliations

  1. Politehnica University of Bucharest, Bucharest, Romania

    Octavian Fratu

  2. University Polytechnica of Bucharest, Bucharest, Romania

    Nicolae Militaru

  3. University Polytechnica of Bucharest, Bucharest, Romania

    Simona Halunga

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Anwar, S., Chowdhry, B.S., Prasad, R. (2018). Smart Pharma: Towards Efficient Healthcare Ecosystem. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-92213-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92212-6

  • Online ISBN: 978-3-319-92213-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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