The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud computing and artificial intelligence. However, the accuracy and dependability of these technologies rely on vast amounts of data from numerous sensors, which can only be accomplished with the advent of communication technologies, such as wireless sensor networks, radio frequency identification, and 5G. Radio frequency identification uses radio waves to wirelessly identify an object’s properties. This project combines the power of radio frequency identification technology with real-time health monitoring in a hospital setting. Utilizing radio frequency identification tags for patient identification and asset tracking, the system seamlessly integrates with a temperature sensor, blood pressure sensor, and SpO₂ sensor. For ongoing monitoring, the gathered data are then sent to an Internet of Things platform. The system not only ensures accurate patient identification and efficient asset management but also provides real-time oxygen saturation, blood pressure rate, and temperature data. These data are shown on an LCD screen, providing medical practitioners with real-time patient health insights. This innovative solution enhances patient care, promotes proactive medical interventions, and exemplifies the Internet of Things in advancing healthcare.

Keywords:Continuous monitoring, radiofrequency identification, temperature, blood pressure, oxygen saturation.

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1. Kariapper RK, Razeeth MS, Pirapuraj P, Nafrees AC. Rfid based smart healthcare system: a survey analysis. Test Eng Manag. 2020;83:4615–21.
2. Bouhassoune I, Chaibi H, Chehri A, Saadane R. A review of RFID-based internet of things in the healthcare area, the new horizon of RFID. Procedia Comp Sci. 2022;207:4151–60
3. Turcu CT. Rfid-based solutions for smarter healthcare. arXiv preprint arXiv:1705.09855. 2017 May 27
4. Abuelkhail A, Baroudi U, Raad M, Sheltami T. Internet of things for healthcare monitoring applications based on RFID clustering scheme. Wireless Networks. 2021;27:747–63
5. Khan HA, Abdulla R, Selvaperumal SK, Bathich A. IoT based on secure personal healthcare using RFID technology and steganography. Int J Electr Comp Eng. 2021;11(4):3300.
6. Khan SF. Health care monitoring system in internet of things (IoT) by using RFID. In: 2017 6th International conference on industrial technology and management (ICITM). 2017 Mar 7. IEEE. pp. 198–204.
7. Asset management in healthcare: Evaluation of RFID July 2014IIE Transactions on Healthcare Systems Engineering. 4(3)DOI:10.1080/19488300.2014.938207
8. Oliveira VU. Applying RFID Technology To Improve Hospital Logistics. In: 2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA). 2022 Sep 12. pp. 191–3. IEEE
9. Abugabah A, Smadi AA, Houghton L. RFID in Health care: a review of the real-world application in hospitals. Procedia Comp Sci. 2023;220:8–15
10. Abugabah A, Sanzogni L, Houghton L, AlZubi AA, Abuqabbeh A. RFID adaption in healthcare organizations: an integrative framework. Comp Mat Cont. 2021;70:1335.
11. Reyes PM, Li S, Visich JK. Accessing antecedents and outcomes of RFID implementation in health care. Int J Prod Econ. 2012;136(1):137–50.
12. Shang-Wei Wang, Wun-Hwa Chen, Chorng-Shyong Ong, Li Liu, Yun-Wen Chuang. RFID Application in Hospitals: A Case Study on a Demonstration RFID Project in a Taiwan Hospital. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06), Kauai, HI, USA, 2006, pp. 184a-184a, doi: 10.1109/HICSS.2006.422.
13. Zhou W, Piramuthu S. Framework, strategy and evaluation of health care processes with RFID. Decis Supp Syst. 2010;50(1):222–33.

The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud computing and artificial intelligence. However, the accuracy and dependability of these technologies rely on vast amounts of data from numerous sensors, which can only be accomplished with the advent of communication technologies, such as wireless sensor networks, radio frequency identification, and 5G. Radio frequency identification uses radio waves to wirelessly identify an object’s properties. This project combines the power of radio frequency identification technology with real-time health monitoring in a hospital setting. Utilizing radio frequency identification tags for patient identification and asset tracking, the system seamlessly integrates with a temperature sensor, blood pressure sensor, and SpO₂ sensor. For ongoing monitoring, the gathered data are then sent to an Internet of Things platform. The system not only ensures accurate patient identification and efficient asset management but also provides real-time oxygen saturation, blood pressure rate, and temperature data. These data are shown on an LCD screen, providing medical practitioners with real-time patient health insights. This innovative solution enhances patient care, promotes proactive medical interventions, and exemplifies the Internet of Things in advancing healthcare.

Keywords:Continuous monitoring, radiofrequency identification, temperature, blood pressure, oxygen saturation.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Kariapper RK, Razeeth MS, Pirapuraj P, Nafrees AC. Rfid based smart healthcare system: a survey analysis. Test Eng Manag. 2020;83:4615–21.
2. Bouhassoune I, Chaibi H, Chehri A, Saadane R. A review of RFID-based internet of things in the healthcare area, the new horizon of RFID. Procedia Comp Sci. 2022;207:4151–60
3. Turcu CT. Rfid-based solutions for smarter healthcare. arXiv preprint arXiv:1705.09855. 2017 May 27
4. Abuelkhail A, Baroudi U, Raad M, Sheltami T. Internet of things for healthcare monitoring applications based on RFID clustering scheme. Wireless Networks. 2021;27:747–63
5. Khan HA, Abdulla R, Selvaperumal SK, Bathich A. IoT based on secure personal healthcare using RFID technology and steganography. Int J Electr Comp Eng. 2021;11(4):3300.
6. Khan SF. Health care monitoring system in internet of things (IoT) by using RFID. In: 2017 6th International conference on industrial technology and management (ICITM). 2017 Mar 7. IEEE. pp. 198–204.
7. Asset management in healthcare: Evaluation of RFID July 2014IIE Transactions on Healthcare Systems Engineering. 4(3)DOI:10.1080/19488300.2014.938207
8. Oliveira VU. Applying RFID Technology To Improve Hospital Logistics. In: 2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA). 2022 Sep 12. pp. 191–3. IEEE
9. Abugabah A, Smadi AA, Houghton L. RFID in Health care: a review of the real-world application in hospitals. Procedia Comp Sci. 2023;220:8–15
10. Abugabah A, Sanzogni L, Houghton L, AlZubi AA, Abuqabbeh A. RFID adaption in healthcare organizations: an integrative framework. Comp Mat Cont. 2021;70:1335.
11. Reyes PM, Li S, Visich JK. Accessing antecedents and outcomes of RFID implementation in health care. Int J Prod Econ. 2012;136(1):137–50.
12. Shang-Wei Wang, Wun-Hwa Chen, Chorng-Shyong Ong, Li Liu, Yun-Wen Chuang. RFID Application in Hospitals: A Case Study on a Demonstration RFID Project in a Taiwan Hospital. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06), Kauai, HI, USA, 2006, pp. 184a-184a, doi: 10.1109/HICSS.2006.422.
13. Zhou W, Piramuthu S. Framework, strategy and evaluation of health care processes with RFID. Decis Supp Syst. 2010;50(1):222–33.