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Evolution of mHealth Eco-System: A Step Towards Personalized Medicine

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1087))

Abstract

Background: Mobile phones have become an indispensable part of our daily lives impacting the life of approximately 7.2 billion users around the globe. Objective: The purpose of this study was to highlight various aspects of mHealth, its market potential, comparative analysis on the basis of operating systems and the role of Big Data in mHealth architecture. Methods: More and more population adapt to mobile technology, making it quite convenient to monitor the health and health-related issues in real-time. This would contribute to huge amount of unstructured data in healthcare industry referred to as Big Data. This bottle-neck in evaluating BigData will be to procure faster real-time inferences from these enormous and high-dimensional observations. Conclusion: Reduced cost of sensors has contributed towards effective monitoring of patient’s health in real-time. Various sensory devices such as Fitbit are linked to mHealth apps monitoring the real-time data benefiting many users. mHealth comes handy in monitoring the wellbeing of the patient both in clinical and non-clinical settings due to their continuous analysis of various parameters and greater adaptability by users in coming decade. Also continuous reduction in cost of genome sequencing due to advanced technology will soon transform the healthcare industry from traditional symptom based to customizable personalized treatment where mHealth will be an important driving force in achieving the goal of personalized medicine.

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Acknowledgements

We wish to express our deep sense of gratitude and sincere thanks to Sup’Biotech, Paris and Amity Education Group, USA for providing us a great platform to work on. We also express our thanks to Mr. Piyush Garg for his constant support and encouragement throughout the journey of this project.

Author information

Authors and Affiliations

  1. Sup’ Biotech, Paris, Villejuif, France

    Mohit Saxena

  2. Amity University, Uttar Pradesh, India

    Ankur Saxena

Authors
  1. Mohit Saxena
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  2. Ankur Saxena
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Corresponding author

Correspondence to Mohit Saxena .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  2. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

  3. Department of Computer Science and Engineering, Christ University, Bangalore, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Saxena, M., Saxena, A. (2020). Evolution of mHealth Eco-System: A Step Towards Personalized Medicine. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_30

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