Skip to main content
SpringerLink
Log in

Medical-QoS Based Telemedicine Service Selection Using Analytic Hierarchy Process

  • Chapter
  • First Online:
Handbook of Large-Scale Distributed Computing in Smart Healthcare

Part of the book series: Scalable Computing and Communications ((SCC))

Abstract

An emerging breakthrough paradigm shift in health industry and wearable devices, large scale and distributed mobile cloud computing technologies have led to new opportunities for medical healthcare systems. Telemedicine service selection and management of Medical-Quality of Service (m-QoS) in large-scale and distributed medical health system (e.g. medical data centers, hospitals, medical servers and medical clouds, etc.) is a key challenge for both industry and academia. The aim of this chapter is to improve and manage m-QoS by prioritizing Telemedicine service by using decisive and intelligent tool called Analytic Hierarchy Process (AHP). This service will be provided on urgency basis from the pool of medical services with the help of AHP. In this connection, four telemedicine services are considered i.e. Tele-surgery, Tele-Consultation, Tele-Education and Tele-Monitoring. In this research, three m-QoS parameters are considered i.e. throughput, jitter and delay. These services are evaluated by potential doctors and patients. We propose an AHP based decision making algorithm for selecting urgent and important service for the fast and cost-effective treatment of the emergency patients at the remote location in the hospital, because AHP is the significantly fast decision making technique used to assess, select and manage the emergency services at various priority levels in large scale and distributed medical health systems. The comprehensive purpose is indicated in the first level of the strategy. The decisive entities are presented in the intermediate level and the target-based alternatives are located at the lowest level. MATLAB is used for experimental results to measure and evaluate goal, decision making parameters and options from both qualitative and quantitative aspect. The proposed AHP algorithm is simulated for three decision parameters and four different Telemedicine services in which highest priority is given to decision parameter, throughput and Telemedicine service, Tele-Surgery for large scale and distributed medical health systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Qutaibah Althebyan, Qussai Yaseen, Yaser Jararweh, Mahmoud Al-Ayyoub, “Cloud support for large scale e-Healthcare Systems”, March 2016.

    Google Scholar 

  2. R. Trobec, M. Depolli, K. Skala, “Energy Efficiency in Large-Scale Distributed Computing Systems”, 36th International convention on ICT Electronics & Microelectronics (MIPRO), pp. 153–157, 2013.

    Google Scholar 

  3. Wu-Chun Chung, Chin-Jung Hsu, Kuan-Chou Lai, “Direction-aware resource discovery in large-scale distributed computing environments”, March 2013.

    Google Scholar 

  4. Denis Krivitski, Assaf Schuster, Ran Wolff, “A Local Facility Location Algorithm for Large-scale distributed systems”, April 2007.

    Google Scholar 

  5. Von Wangenheim A, Barcellos CL Jr, Andrade R, “Implementing DICOM structured reporting in a large-scale telemedicine network”, Telemed J E Health, Vol. 19, No. 7, pp. 535–541, July, 2013.

    Google Scholar 

  6. Kovendhan Ponnavaikko, D. Janakiram, Arogyashree: A distributed file system for large scale internet-based telemedicine, 2008.

    Google Scholar 

  7. Hafez Fouad, “Patient based web Telemedicine System for medical health Monitoring”, Journal of Communication and Computer, pp. 168–178, 2014.

    Google Scholar 

  8. Sriram Kailasam, Santosh Kumar, and Janakiram Dharanipragada, “Arogyasree: An Enhanced Grid-Based Approach to Mobile Telemedicine”, International Journal of Telemedicine and Applications Vol. 2010, pp. 1–11, 2010.

    Google Scholar 

  9. Jui-chien Hsieh, Meng-Wei Hsu, “A cloud computing based 12-lead ECG telemedicine service”, BMC Medical Informatics and Decision Making, 2012.

    Google Scholar 

  10. Topacan Umit, Basoglu A. Nuri, U. Daim Tugrul. “AHP application on evaluation of health information service attributes”, PICMET proceedings, 486–493, Portland, Oregon USA, 2009.

    Google Scholar 

  11. Anwar Sharna, Shusmita, M. Murshed Manzur, “Analysis of Performance of vertical handoff strategies with QoS indicators and separation”, 2010.

    Google Scholar 

  12. Tawil. R, Pujole. G, “A vertical handoff decision scheme in heterogeneous wireless systems”. In: IEEE vehicular Technology conference, 2626–2630, May 2008.

    Google Scholar 

  13. Yeh Li-Lun, “ Automated Devices in Taiwan’s Telemedicine Industry”, International Journal of Automation and Smart Technology, Vol. 3, No. 1, 2013.

    Google Scholar 

  14. Alharthi, Hana, “An AHP enabled method to Rank the Critical Success factors of Implementing a Pharmacy Barcode System”, Perspectives in Health Information management, 2015.

    Google Scholar 

  15. Ajami Sima, “Performance measurement of medical records departments by AHP strategy in the Selected Hospitals in Isfahan”. Journal of Medical Systems, Vol. 36, No. 3, pp. 1165–1171, New York, 2012.

    Google Scholar 

  16. Sri Kavya D. Manga, “Choice of wireless technologies for rural connectivity-in the context of Developing countries”, Journal of recent sciences, Vol. 3, No. 1, pp. 41–47, 2014.

    Google Scholar 

  17. Schiltz André, “Business model analysis of eHealth use cases in Europe and in Japan”. Journal of the International society for Telemedicine and eHealth, 2013.

    Google Scholar 

  18. Gao Cong, “A Collaborative QoS-Aware service evaluation method for service selection”, Journal of Networks, Vol. 8, No. 6, 2013.

    Google Scholar 

  19. Mirchandani Vinod. “Optimized Energy Management for Mixed Uplink Traffic in LTE UE”, Vol. 8, No. 3, 2013.

    Google Scholar 

  20. Al-Qurishi, Muhammad, “A Framework for Cloud-Based Healthcare Services to Monitor Non- communicable Diseases Patient”, International journal of distributed Sensor Networks, 2015.

    Google Scholar 

  21. Gülçin, “Strategic analysis of healthcare service quality using fuzzy AHP methodology”, Expert systems with application, Vol. 38, No. 8, pp. 940–942, 2011.

    Google Scholar 

  22. L Pecchia., “Analytic Hierarchy Process for examining healthcare professional’s assessments of risk Factors”, methods Inf medical, Vol. 50, No. 5, 2011.

    Google Scholar 

  23. Oltés Vincent, “The functionality comparison of the health care systems by the AHP methods”, Ekonomica management, Vol. 17, No. 3, 2014.

    Google Scholar 

  24. Fengou Maria-Anna, “Group profile creation in ubiquitous healthcare environment applying the AHP”, Chapter on wireless mobile communication and healthcare, Lecture notes of the Institute for computer science, social informatics and Telecommunications Engineering, Vol. 61, pp. 247–254, 2013.

    Google Scholar 

  25. Saaty T.L, “Decision making for leaders: The AHP for decision in a complex World”, RWS publications, Int. J. Services Sciences, Vol. 1, No. 1, 2008.

    Google Scholar 

  26. Giancarlo Fortino, Stefano Galzarano, Raffaele Gravina, Wenfeng Li: A framework for collaborative computing and multi-sensor data fusion in BSN. Information Fusion, Vol. 22, pp. 50–70, 2015.

    Google Scholar 

  27. Hassan Ghasemzadeh, Pasquale Panuccio, Simone Trovato, Giancarlo Fortino, Roozbeh Jafari, Power-Aware Activity Monitoring Using Distributed Wearable Sensors. IEEE Trans. Human-Machine Systems. Vol. 44, No. 4, pp. 537–544, 2014.

    Google Scholar 

  28. G Fortino, V Giampa, PPG-based methods for non-invariance and continuous blood pressure measurement: an overview and development issues in BSNs, IEEE Conference on Medical Measurements and Applications Proceedings (MeMeA), 2010.

    Google Scholar 

  29. Raffaele Grayina, Parastoo Alinia, Hassan Ghasemzadeh, Giancarlo Fortino: Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Information Fusion Vol. 35, pp. 68–80, 2017.

    Google Scholar 

  30. Raffaele Gravina, Giancaarlo Fortino: Automatic Methods for the Detection of Accelerative Cardiac Defense Response. IEEE Trans. Affective Computing Vol. 7, No. 3, pp. 286–298, 2016.

    Google Scholar 

  31. Stefano Galzarano, Roberta Giannantonio, Antonio Liotta, Giancarlo Fortino: A Task-Oriented Framework for Networked Wearable Computing. IEEE Trans. Automation Science and Engineering, Vol. 13, No. 2, pp. 621–638, 2016.

    Google Scholar 

  32. George Smart, Nikos Deligiannis, Rosario Surace, Valeria Loscrì, Giancarlo Fortino, Yiannis Andreopoulos: Decentralized Time-Synchronized Channel Swapping for Ad Hoc Wireless Networks. IEEE Trans. Vehicular Technology Vol. 65, No. 10, pp. 8538–8553, 2016.

    Google Scholar 

  33. Giancarlo Fortino, Paolo Trunfio: Internet of Things Based on Smart Objects, Technology, Middleware and Applications. Springer, ISBN 978-3-319-00490-7, 2014.

    Google Scholar 

  34. Giancarlo Fortino, Roberta Giannantonio, Raffaela Grayina, Philip Kuryloski, Roozbeh Jaffri: Enabling effective programming and flexible management of efficient BSN applications. IEEE Trans. Human-Machine Systems, Vol. 43, No. 1, pp. 115–133, 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sukkur Institute of Business Administration, Sukkur, Sindh, Pakistan

    Ali Hassan Sodhro, Mir Muhammad Lodro & Madad Ali Shah

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

    Faisal K. Shaikh

  3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Sandeep Pirbhulal

Authors
  1. Ali Hassan Sodhro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Faisal K. Shaikh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sandeep Pirbhulal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mir Muhammad Lodro
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Madad Ali Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ali Hassan Sodhro .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, North Dakota State University , Fargo, North Dakota, USA

    Samee U. Khan

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Y. Zomaya

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Assad Abbas

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Sodhro, A.H., Shaikh, F.K., Pirbhulal, S., Lodro, M.M., Shah, M.A. (2017). Medical-QoS Based Telemedicine Service Selection Using Analytic Hierarchy Process. In: Khan, S., Zomaya, A., Abbas, A. (eds) Handbook of Large-Scale Distributed Computing in Smart Healthcare. Scalable Computing and Communications. Springer, Cham. https://doi.org/10.1007/978-3-319-58280-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58280-1_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58279-5

  • Online ISBN: 978-3-319-58280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation