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Concoction of Ambient Intelligence and Big Data for Better Patient Ministration Services

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  • Arushi Jain

    (Ambedkar Institute of Advanced Communication Technology and Research, Department of Computer Science and Engineering, New Delhi, India)

  • Vishal Bhatnagar

    (Ambedkar Institute of Advanced Communication Technology and Research, Department of Computer Science and Engineering, New Delhi, India)

Abstract

The term Ambient Intelligence (AmI) encompasses other technologies such as ubiquitous communication, pervasive computing and ubiquitous computing. Hospitals can improve their working by monitoring the health of the patients and performing automatic analysis of various and health parameters inside the room. Security mechanisms can also be enhanced by only allowing authorized hospital staff and attendants in the ward. With the advent of Ambient Intelligence and the congenial political environment, the focus is now shifting to providing better healthcare at homes than at traditional medical centers. In this paper, we implemented an algorithm in which we consider a specific room of a hospital as the environment, with a patient monitored for health and security reasons. If anything is not allowed for the particular patient or there are some unwanted variations in the health parameters of the patient, the alarm was rang and the patient's assistants were notified.

Suggested Citation

  • Arushi Jain & Vishal Bhatnagar, 2017. "Concoction of Ambient Intelligence and Big Data for Better Patient Ministration Services," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 8(4), pages 19-30, October.
    • Handle: RePEc:igg:jaci00:v:8:y:2017:i:4:p:19-30
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    Cited by:

    1. Yasmine Lamari & Said Chah Slaoui, 2018. "PDC-Transitive: An Enhanced Heuristic for Document Clustering Based on Relational Analysis Approach and Iterative MapReduce," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-18, June.

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