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Healthcare Management and Prediction of Future Illness Through Autonomous Intelligent Advisory System Using AAT Computational Framework

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Enabling Person-Centric Healthcare Using Ambient Assistive Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1108))

Abstract

The various technological evolutions in IT healthcare systems have transformed from Electronic Health Records (EHR) to personalized health support systems with ambient assistive technologies (AAT). This chapter focuses on Healthcare management tools and techniques with a major focus on technological innovations and disruptions; services and tools; Recommendation systems in health care; The proposed Autonomous Intelligent Advisory System termed as H-Pilot using the Social Internet of Things (SIOT) computational framework. SIoT framework in H-Pilot is an integrated application that supports the flow of app information from interconnected apps in various verticals. It provides various AAT services like Alerts and recommendations, activity monitoring with reports, communication among various devices, feedback support, navigation, and emergency health monitoring through various autonomous existing apps. The information must be blended to generate overall actions to increase efficiency and effectiveness to satisfy the tasks and needs of the individuals with personalized recommendations for improving the QOL. To make the study’s contributions more evident, a sample user story is depicted to show the usage of the H-Pilot enabling person-centric healthcare using Ambient Assistive Technologies.

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Author information

Authors and Affiliations

  1. Department of IT, PVP Siddhartha Institute of Technology, Vijayawada, India

    Haritha Akkineni & Y. Suresh

  2. Department of CSE, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

    Madhu Bala Myneni

  3. Sri Ramanuja Junior College, Visakhapatnam, India

    Siva Velaga

  4. Department of Mechanical Engineering, PVP Siddhartha Institute of Technology, Vijayawada, India

    P. Phani Prasanthi

Authors
  1. Haritha Akkineni
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  2. Madhu Bala Myneni
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  3. Y. Suresh
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  4. Siva Velaga
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  5. P. Phani Prasanthi
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Corresponding author

Correspondence to Haritha Akkineni .

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Editors and Affiliations

  1. National Research Council, Institute of Information Science and Technologies, Pisa, Italy

    Paolo Barsocchi

  2. Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India

    Naga Srinivasu Parvathaneni

  3. KIET Group of Institutions, Ghaziabad, India

    Amik Garg

  4. KIET Group of Institutions, Ghaziabad, India

    Akash Kumar Bhoi

  5. National Research Council, Institute of Information Science and Technologies, Pisa, Italy

    Filippo Palumbo

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Akkineni, H., Myneni, M.B., Suresh, Y., Velaga, S., Prasanthi, P.P. (2023). Healthcare Management and Prediction of Future Illness Through Autonomous Intelligent Advisory System Using AAT Computational Framework. In: Barsocchi, P., Parvathaneni, N.S., Garg, A., Bhoi, A.K., Palumbo, F. (eds) Enabling Person-Centric Healthcare Using Ambient Assistive Technology. Studies in Computational Intelligence, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-031-38281-9_7

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