IJBTT

The Innovation for Smart Patient Screening Platform via IoT System

The Innovation for Smart Patient Screening Platform via IoT System
	© 2022 by IJETT Journal
	Volume-70 Issue-2
	Year of Publication : 2022
	Authors : P.Maungmeesri, K. Kantananon, B. Maungmeesri, D. Maneetham
	DOI :  10.14445/22315381/IJETT-V70I2P223

How to Cite?

P.Maungmeesri, K. Kantananon, B. Maungmeesri, D. Maneetham, "The Innovation for Smart Patient Screening Platform via IoT System," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 201-211, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I2P223

Abstract
COVID-19 pandemic has a huge impact and can cause problems all the time. Therefore, patients who need to be treated at the hospital are required to undergo an initial at the outpatient department (OPD), and this screening must not come into contact with the staff, nurses or doctors to prevent spreading germs to each other. Based on this, this research is to develop the innovation for smart patient screening platforms via the Internet of Things (IoT). The action research instrument was divided into four functions and automated patient screening such as systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse oximeter digital fingertip (SPO2), temperature and scall between weight and high for patients. The conclusion is that for evaluating the functionality of the tool and patients, a total of 30 patients will use a questionnaire that has passed the standard of ISONORM 9241/110. This research method makes it possible to send real-time data through the mobile phone with IoT line applications and confidence in the use of more than 99.83% and also does not cause infection disease with each other, as well as convenient and easy to use in hospital for screening patients.

Keywords
Internet of Things, Automatic patient screening, Environment monitoring, Smart OPD.

Reference
[1] S.P. Morgan, S.Korposh, L.Liu, F.U. Hernandez, R. Correia, A.Norris, R. Sinha, B. R. Hayes - Gell, S.A. Piletsky, F.Canfarotta, E.V. Piletska, and F. Grillo, Optical fiber sensors for monitoring in critical care, IEEE Xplore, (2021) 1139-1143.
[2] D. Ganesh, G. Seshadri, S. Sokkanarayanan, P. Bose, and M. Sathiyanarayanan, Autoimpilo smart, automated health machine using IoT to improve telemedicine and telehealth, IEEE Xplore, (2021) 487-493.
[3] P. Tangtisanon, COVID-19 pandemic prevention mobile application for on-campus classroom, IEEE Xplore, (2021) 1117-1121.
[4] A. Bodini, M. Serpelloni, E. Sardini, N.Latronico, M.R. Tommasi, and M.Fillppni, Low power wireless system for temperature and humidity monitoring in artificial ventilation, IEEE Xplore, (2016) 1-7.
[5] Y. L.N. Grabham, A. Komolafe, and J. Tudor, Battery free smart bandge based on NFC RFID, IEEE Xplore, (2020) 1-4.
[6] T. Sheng, Z. Fang, X. X. Chen, Z. Zhao, and J. Li, The design of wearable sleep apnea monitoring wristwatch, International Conference of E-health Networking, Application & Services, (2017) 1-6.
[7] M. J. Mnati, R. F. Chisab, A. M. A. Rawi, and A. H. Ali, An open-source non-contact thermometer using low-cost electronic components, Journal homepage.www.elsevier.com , (2021) 1-13.
[8] D. Wang, Y. Wang, W. H.Ge, and L. Sun, Design of intelligent neonatal ward environment monitor system. International Conference on Instrumentation and Measurement, (2015) 872-875.
[9] K. M. A. Aubidy, A. M. Derbas, and A. W. A. Mutairi, Real-time patien health monitoring and alarming using wireless – sensor – network, International Multi-Conference o System, Signal & Devices, (2016) 1-8.
[10] C. Roman, S. Poole, C. Walker, and M. J. Dooley, A time and motion evaluation of automated dispensing machines in the emergency department, Australasian Emergency Nursing Journal, (2016) 19(2) 112–117.
[11] M. J. Ward, J. S. Boyd, N. J. Harger, J. M. Deledda, C. L. Smith, S. M. Walker, J. D. Hice, K. W. art, C. J. Lindsell, and S. W. Wright, An automated dispensing system for improving medication timing in the emergency department, World journal of emergency medicine, (2012) 3(2) 102-110.
[12] M. Sathiyanarayanan and S. Rajan, Understanding the use of leap motion touchless device in physiotherapy and improving the the healthcare system in India, in communication Systems and networks (COMSNETS), 9th International Conference on, (2017).
[13] S. Rajan, M. Sathiyanarayanan, S. Prashant, S. Prashant, and P. Nataraj, Prevention of avoidable blindness and improving eye Healthcare system in India, in Communication Systems & Networks (COMSNETS), 10th International Conference on. IEEE, (2018) 665–670.
[14] K. L. James, D. Barlow, A. Bithell, S. Hiom, S. Lord, M. Pollard, D. Roberts, C. Way, and C. Whittlesea, The impact of automation on workload and dispensing errors in a hospital pharmacy, International Journal of Pharmacy Practice, (2013) 21(2) 92–104.
[15] N. W. Tsao, C. Lo, M. Babich, K. Shah, and N. J. Bansback, Decentralized automated dispensing devices: systematic review of Clinical and economic impacts in hospitals, The Canadian journal of hospital pharmacy, 67(2) (2014) 138-145.
[16] W. Zhiqiu, Unattended hospital wards monitoring system based on wireless radio frequency technology, Modern Electronics Technique, (2010) 159-161.
[17] L. Yan, The research on the ward environmental acquisition system based on WSN, Harbin Engineering University,(2009).
[18] W. Liqin, and X. Wei. Design of baby monitoring system based on RFID Technology, Fujian computer, 2 (2012) 33-40.
[19] Preetika.Rani, Vaskar. Raychoudhury, and Sandeep. Singh. Sandha, Dhaval Patel, Mobile Health Application for Early Disease Outbreak -Period Detection, IEEE 16th International Conference on E-Health Networking, Applications and Services (Healthcom), (2014) 483-488.
[20] Navya. Amin Singh, and Markus. Borschbach, Effect of External Factors on Accuracy of Distance Measurement using Ultrasonic Sensors, International Conference on Signals and Systems (ICSigSys), (2017) 266-271.
[21] Vivek. Pardeshi, Saurabh. Sagar, Swapnil. Murmurwar and Pankaj Hage, Health Monitoring Systems using IoT and Raspberry Pi – A Review, International Conference on Innovative Mechanisms for Industry Applications, (2017) 134-137.
[22] Dongxu. He, Shi. Zhang, Liming. Chen and E. Ying, Research on Temperature Calculation Method of Electrical Equipment Based on IR Data Compensation, IOP Conference Series: Earth and Environmental Science, (2020) 1-6.