Research Article
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Year 2020, Volume: 38 Issue: 3, 1595 - 1606, 05.10.2021

Abstract

References

  • [1] 1http://www.sagliktaendustri4.itu.edu.tr/
  • [2] Aktaş F, Çeken C, Erdemli YE. (2016) Internet of Things Technology Applications of Biomedical Field. Duzce University Journal of Science and Technology 4(1), 37-54.
  • [3] Gökrem L, Bozuklu M. (2016) Internet of Things: Application Fields and The Current Situation in us Country. Gaziosmanpasa Journal of Scientific Research 13, 47-68.
  • [4] Yang G, Xie L, Chen Q, Zheng LR., Mäntysalo M, Zhou X, Pang Z, Xu LD, Kao-Walter S, (2014) A Health-IoT Platform Based On the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box. IEEE Trans. Ind. Informat, 10(4), 2180–2191.
  • [5] Ashton K, (2009) That 'Internet of Things' Thing. RFID Journal, Http://Www.Rfidjournal.Com/Articles/Pdf?4986.
  • [6] Ozkarahan I. (2000) Allocation of Surgeries to Operating Rooms by Goal Programing. Journal of Medical Systems, 24(6), 339-378.
  • [7] Van Der Lans M, Hans EW, Hurink JL, Wullink G, Van Houdenhoven M, Kazemier G. (2006) Anticipating Urgent Surgery in Operating Room Departments. University of Twente, Tech. Rep. Wp, 158.
  • [8] Saaty TL. (1999) Fundamentals of the analytic network process. In Proceedings of the 5th international symposium on the analytic hierarchy process 12-14.
  • [9] Eren T, Gür Ş. (2018) Evaluation of the Factors Affecting the Performance of Operating Room by Fuzzy AHP. Harran University Journal of Engineering, 3, 197-204.
  • [10] Gür Ş, Uslu B, Eren T, Akca N, Yilmaz A, Sönmez S. (2018) Evaluation of Operating Room Performance in Hospitals by Using Analytic Network Process. Gazi Journal of Health Sciences 3, 10-25
  • [11] Chung WY, Lee YD, Jung SJ, (2008) A Wireless Sensor Network Compatible Wearable U-Healthcare Monitoring System Using Integrated Ecg, Accelerometer and Spo 2. Proc. 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (Embs), 1529– 1532.
  • [12] Castillejo P, Martinez JF, Rodriguez-Molina J, Cuerva A. (2013) Integration of Wearable Devices in A Wireless Sensor Network for an E-Health Application. IEEE Wireless Commun. 20, 38–49.
  • [13] Agu E, Pedersen P, Strong D, Tulu B, He Q, Wang L, Li Y. (2013) The Smartphone as A Medical Device: Assessing Enablers, Benefits and Challenges. Proc. IEEE Int. Workshop Internet-Things Netw. Control (Iot-Nc), 48–52.
  • [14] Jara AJ, Zamora-Izquierdo MA, Skarmeta AF, (2013) Interconnection Framework for Mhealth and Remote Monitoring Based On the Internet of Things. IEEE J. Sel. Areas Commun., 31, 47–65.
  • [15] Hu L, Qiu M, Song J, Hossain MS. 2015 Software Defined Healthcare Networks. IEEE Wirel. Commun. Mag.
  • [16] Rasid MFA, Musa WMW, Kadir NAA, Noor AM, Touati F, Mehmood W, Khriji L, Al-Busaidi A, Mnaouer AB. (2014) Embedded Gateway Services for Internet of Things Applications in Ubiquitous Healthcare. Proc. 2nd Int. Conf. Inf. Commun. Technol. (Icoıct), 45–148.
  • [17] Hossain MS, Muhammad G, (2016) Cloud-Assisted Industrial Internet of Things (IoT) – Enabled Framework for Health Monitoring. Computer Networks.
  • [18] Luo X, Liu T, Liu J, Guo X, Wang G. (2012) Design and Implementation of a Distributed Fall Detection System Based On Wireless Sensor Networks. Eurasip Journal On Wireless Communications and Networking. 2012(1), 118.
  • [19] Han G, Jiang J, Shu L, Niu J, Chao HC. (2014) Management and Applications of Trust in Wireless Sensor Networks: A Survey. J. Comput. Syst. Sci. 80, 602–617.
  • [20] Ramesh MV, Shanmughan A, Prabha R, (2014) Context Aware Ad Hoc Network for Mitigation of Crowd Disasters. Ad Hoc Netw, 18, 55–70.
  • [21] Felisberto F, Fdez-Riverola F, Pereira A.A (2014) Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based On Sensor Fusion. Sensors, 14, 8961–8983.
  • [22] Tunca C, Alemdar H, Ertan H, Incel OD, Ersoy C. (2014) Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents. Sensors, 14, 9692–9719.
  • [23] Quwaider M, Jararweh Y, (2015) A Cloud Supported Model for Efficient Community Health Awareness. Pervasive and Mobile Computing, 28, 35-50.
  • [24] Tsiounia K, Dimitrioglou NG, Kardaras D, Barbounaki SG. (2018) A Process Modelling and Analytic Hierarchy Process Approach to Investigate the Potential of the IoT in Health Services. In World Congress On Medical Physics and Biomedical Engineering 2018 (Pp. 381- 386). Springer, Singapore.
  • [25] Aksakal, E. Dağdeviren, M. (2010). An Integrated Approach to the Problem of Personnel Selection with ANP and Dematel Methods. Gazi University Faculty of Engineering and Architecture Journal, 25 (4), 905-913
  • [26] Yazgan, E. Üstün, A. K. (2011). Application of analytic network process: weighting of selection criteria for civil pilots. J Aeronaut Space Technol, 5 (2), 1-12.
  • [27] Manogaran, G., Thota, C., Lopez, D., Sundarasekar, R. (2017). Big Data Security Intelligence for Healthcare Industry 4.0. In Cybersecurity for Industry 4.0 (pp. 103-126). Springer, Cham.
  • [28] Thuemmler, C., Bai, C. (2017). Health 4.0: Application of Industry 4.0 Design Principles in Future Asthma Management. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (pp. 23-37). Springer, Cham.
  • [29] Kılıç, T. (2017). 4.0 Health Applications in Turkey. Annals of The Constantin Brancusi University of Targu Jiu-Letters & Social Sciences Series, (2).
  • [30] Paulin, A. (2017). Data Traffic Forecast in Health 4.0. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (pp. 39-60). Springer, Cham.
  • [31] Elhoseny, M., Abdelaziz, A., Salama, A. S., Riad, A. M., Muhammad, K., Sangaiah, A. K. (2018). A Hybrid Model of Internet of Things and Cloud Computing to Manage Big Data in Health Services Applications. Future Generation Computer Systems, 2018.
  • [32] Sharma, D., Tripathi, R. C. (2020). Performance of Internet of Things Based Healthcare Secure Services and Its Importance: Issue and Challenges (No. 2290). EasyChair.
  • [33] Makkar, S., Singh, A. K., Mohapatra, S. (2020). Challenges and Opportunities of Internet of Things for Health Care. In A Handbook of Internet of Things in Biomedical and Cyber Physical System (pp. 301-314). Springer, Cham.
  • [34] Thangaraj, R., Rajendar, S., Kandasamy, V. (2020). Internet of Things in Healthcare: An Extensive Review on Recent Advances, Challenges, and Opportunities. In Incorporating the Internet of Things in Healthcare Applications and Wearable Devices (pp. 23-39). IGI Global.
  • [35] Sharma, R., Mahapatra, R. P. (2020). Role of Internet of Things and IT in Health Care. In Internet of Things and Analytics for Agriculture, Volume 2 (pp. 119-130). Springer, Singapore.
  • [36] Farahani, B., Firouzi, F., Chakrabarty, K. (2020). Healthcare IoT. In Intelligent Internet of Things (pp. 515-545). Springer, Cham.
  • [37] Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., Kim, S. W. (2020). The Future of Healthcare Internet of Things: A Survey of Emerging Technologies. IEEE Communications Surveys & Tutorials, 22(2), 1121-1167.

EVALUATION OF THE POTENTIAL OF THE INTERNET OF THINGS IN HEALTH SERVICES WITH MULTI CRITERIA DECISION-MAKING METHODS

Year 2020, Volume: 38 Issue: 3, 1595 - 1606, 05.10.2021

Abstract

Background: With the technology developing all over the world, there is a transition period to the Industry 4.0 revolution in the field of health. The Internet of Things is one of the themes of Industry 4.0. Treatments applied in diseases have increased the use of health services with the increase in the world population. For this reason, there is a healthcare sector among the areas where the internet of things has turned into technology.
Objectives: The impact of the Internet of Things potential on healthcare organizations is especially based on the reliability of patients and other institutions accessibility and sensitivity. It is very important to establish a correct and timely diagnosis and to start the treatment process in health institutions. The most important unit that is effective in providing these treatment processes is operating rooms. In this process, the integration of devices with internet technology and use by healthcare professionals provides more effective follow-up of patients. Thus, it contributes to the treatment process. In this study, the internet transition of things in the health sector is examined.
Methods: In this study, the analytical network process method was used. ANP method was used because of the interaction and feedback between the criteria.
Results: The internet potential of things in health services was evaluated using the analytical network process method. The evaluation and the determining criteria are aimed to increase the efficiency of the operating rooms and hospitals.

References

  • [1] 1http://www.sagliktaendustri4.itu.edu.tr/
  • [2] Aktaş F, Çeken C, Erdemli YE. (2016) Internet of Things Technology Applications of Biomedical Field. Duzce University Journal of Science and Technology 4(1), 37-54.
  • [3] Gökrem L, Bozuklu M. (2016) Internet of Things: Application Fields and The Current Situation in us Country. Gaziosmanpasa Journal of Scientific Research 13, 47-68.
  • [4] Yang G, Xie L, Chen Q, Zheng LR., Mäntysalo M, Zhou X, Pang Z, Xu LD, Kao-Walter S, (2014) A Health-IoT Platform Based On the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box. IEEE Trans. Ind. Informat, 10(4), 2180–2191.
  • [5] Ashton K, (2009) That 'Internet of Things' Thing. RFID Journal, Http://Www.Rfidjournal.Com/Articles/Pdf?4986.
  • [6] Ozkarahan I. (2000) Allocation of Surgeries to Operating Rooms by Goal Programing. Journal of Medical Systems, 24(6), 339-378.
  • [7] Van Der Lans M, Hans EW, Hurink JL, Wullink G, Van Houdenhoven M, Kazemier G. (2006) Anticipating Urgent Surgery in Operating Room Departments. University of Twente, Tech. Rep. Wp, 158.
  • [8] Saaty TL. (1999) Fundamentals of the analytic network process. In Proceedings of the 5th international symposium on the analytic hierarchy process 12-14.
  • [9] Eren T, Gür Ş. (2018) Evaluation of the Factors Affecting the Performance of Operating Room by Fuzzy AHP. Harran University Journal of Engineering, 3, 197-204.
  • [10] Gür Ş, Uslu B, Eren T, Akca N, Yilmaz A, Sönmez S. (2018) Evaluation of Operating Room Performance in Hospitals by Using Analytic Network Process. Gazi Journal of Health Sciences 3, 10-25
  • [11] Chung WY, Lee YD, Jung SJ, (2008) A Wireless Sensor Network Compatible Wearable U-Healthcare Monitoring System Using Integrated Ecg, Accelerometer and Spo 2. Proc. 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (Embs), 1529– 1532.
  • [12] Castillejo P, Martinez JF, Rodriguez-Molina J, Cuerva A. (2013) Integration of Wearable Devices in A Wireless Sensor Network for an E-Health Application. IEEE Wireless Commun. 20, 38–49.
  • [13] Agu E, Pedersen P, Strong D, Tulu B, He Q, Wang L, Li Y. (2013) The Smartphone as A Medical Device: Assessing Enablers, Benefits and Challenges. Proc. IEEE Int. Workshop Internet-Things Netw. Control (Iot-Nc), 48–52.
  • [14] Jara AJ, Zamora-Izquierdo MA, Skarmeta AF, (2013) Interconnection Framework for Mhealth and Remote Monitoring Based On the Internet of Things. IEEE J. Sel. Areas Commun., 31, 47–65.
  • [15] Hu L, Qiu M, Song J, Hossain MS. 2015 Software Defined Healthcare Networks. IEEE Wirel. Commun. Mag.
  • [16] Rasid MFA, Musa WMW, Kadir NAA, Noor AM, Touati F, Mehmood W, Khriji L, Al-Busaidi A, Mnaouer AB. (2014) Embedded Gateway Services for Internet of Things Applications in Ubiquitous Healthcare. Proc. 2nd Int. Conf. Inf. Commun. Technol. (Icoıct), 45–148.
  • [17] Hossain MS, Muhammad G, (2016) Cloud-Assisted Industrial Internet of Things (IoT) – Enabled Framework for Health Monitoring. Computer Networks.
  • [18] Luo X, Liu T, Liu J, Guo X, Wang G. (2012) Design and Implementation of a Distributed Fall Detection System Based On Wireless Sensor Networks. Eurasip Journal On Wireless Communications and Networking. 2012(1), 118.
  • [19] Han G, Jiang J, Shu L, Niu J, Chao HC. (2014) Management and Applications of Trust in Wireless Sensor Networks: A Survey. J. Comput. Syst. Sci. 80, 602–617.
  • [20] Ramesh MV, Shanmughan A, Prabha R, (2014) Context Aware Ad Hoc Network for Mitigation of Crowd Disasters. Ad Hoc Netw, 18, 55–70.
  • [21] Felisberto F, Fdez-Riverola F, Pereira A.A (2014) Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based On Sensor Fusion. Sensors, 14, 8961–8983.
  • [22] Tunca C, Alemdar H, Ertan H, Incel OD, Ersoy C. (2014) Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents. Sensors, 14, 9692–9719.
  • [23] Quwaider M, Jararweh Y, (2015) A Cloud Supported Model for Efficient Community Health Awareness. Pervasive and Mobile Computing, 28, 35-50.
  • [24] Tsiounia K, Dimitrioglou NG, Kardaras D, Barbounaki SG. (2018) A Process Modelling and Analytic Hierarchy Process Approach to Investigate the Potential of the IoT in Health Services. In World Congress On Medical Physics and Biomedical Engineering 2018 (Pp. 381- 386). Springer, Singapore.
  • [25] Aksakal, E. Dağdeviren, M. (2010). An Integrated Approach to the Problem of Personnel Selection with ANP and Dematel Methods. Gazi University Faculty of Engineering and Architecture Journal, 25 (4), 905-913
  • [26] Yazgan, E. Üstün, A. K. (2011). Application of analytic network process: weighting of selection criteria for civil pilots. J Aeronaut Space Technol, 5 (2), 1-12.
  • [27] Manogaran, G., Thota, C., Lopez, D., Sundarasekar, R. (2017). Big Data Security Intelligence for Healthcare Industry 4.0. In Cybersecurity for Industry 4.0 (pp. 103-126). Springer, Cham.
  • [28] Thuemmler, C., Bai, C. (2017). Health 4.0: Application of Industry 4.0 Design Principles in Future Asthma Management. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (pp. 23-37). Springer, Cham.
  • [29] Kılıç, T. (2017). 4.0 Health Applications in Turkey. Annals of The Constantin Brancusi University of Targu Jiu-Letters & Social Sciences Series, (2).
  • [30] Paulin, A. (2017). Data Traffic Forecast in Health 4.0. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (pp. 39-60). Springer, Cham.
  • [31] Elhoseny, M., Abdelaziz, A., Salama, A. S., Riad, A. M., Muhammad, K., Sangaiah, A. K. (2018). A Hybrid Model of Internet of Things and Cloud Computing to Manage Big Data in Health Services Applications. Future Generation Computer Systems, 2018.
  • [32] Sharma, D., Tripathi, R. C. (2020). Performance of Internet of Things Based Healthcare Secure Services and Its Importance: Issue and Challenges (No. 2290). EasyChair.
  • [33] Makkar, S., Singh, A. K., Mohapatra, S. (2020). Challenges and Opportunities of Internet of Things for Health Care. In A Handbook of Internet of Things in Biomedical and Cyber Physical System (pp. 301-314). Springer, Cham.
  • [34] Thangaraj, R., Rajendar, S., Kandasamy, V. (2020). Internet of Things in Healthcare: An Extensive Review on Recent Advances, Challenges, and Opportunities. In Incorporating the Internet of Things in Healthcare Applications and Wearable Devices (pp. 23-39). IGI Global.
  • [35] Sharma, R., Mahapatra, R. P. (2020). Role of Internet of Things and IT in Health Care. In Internet of Things and Analytics for Agriculture, Volume 2 (pp. 119-130). Springer, Singapore.
  • [36] Farahani, B., Firouzi, F., Chakrabarty, K. (2020). Healthcare IoT. In Intelligent Internet of Things (pp. 515-545). Springer, Cham.
  • [37] Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., Kim, S. W. (2020). The Future of Healthcare Internet of Things: A Survey of Emerging Technologies. IEEE Communications Surveys & Tutorials, 22(2), 1121-1167.
There are 37 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Burak Yeşılyurt This is me 0000-0003-4782-5635

Kübra Karakuş This is me 0000-0001-7872-0727

Şeyda Gür This is me 0000-0002-4639-9657

Tamer Eren This is me 0000-0001-5282-3138

Publication Date October 5, 2021
Submission Date March 5, 2020
Published in Issue Year 2020 Volume: 38 Issue: 3

Cite

Vancouver Yeşılyurt B, Karakuş K, Gür Ş, Eren T. EVALUATION OF THE POTENTIAL OF THE INTERNET OF THINGS IN HEALTH SERVICES WITH MULTI CRITERIA DECISION-MAKING METHODS. SIGMA. 2021;38(3):1595-606.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/