Login Register Cart 0
Generic placeholder image

Micro and Nanosystems

Editor-in-Chief

ISSN (Print): 1876-4029
ISSN (Online): 1876-4037

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Mini-Review Article

Internet of Things- Implementation in Healthcare with Telemedicine & Robotic

Author(s): Sudhanshu Mishra*

Volume 15, Issue 2, 2023

Published on: 25 October, 2022

Page: [76 - 81] Pages: 6

DOI: 10.2174/1876402914666221005092629

Price: $65

conference banner
Abstract

Smart healthcare is a healthcare delivery method that utilizes wearable devices, the internet of things, and the mobile internet to dynamically access information, connect people, materials, and institutions in the healthcare industry, and then intelligently monitor and respond to the medical ecosystem requirements. The concept of smart healthcare has progressively gained traction as information technology advances like Telemedicine and Robotics. The purpose of the internet of things (IoT) is to connect many effects and items present in the surroundings so they may communicate and work together "anytime, anywhere, with anything and anyone, flawlessly using any path or network and any service."Smart healthcare employs a new generation of information technologies, such as the IoT, big data, cloud computing, and artificial intelligence, to completely revolutionize the existing medical system, making it more efficient, easy, and personalized. Thereby, to introduce the concept of “smart healthcare”, foremost, we identify the essential technologies that support it and discuss the current state of smart healthcare in a few key areas.

Keywords: Smart health care, Informatization, Health Management, Surgery, Clinical decision, Smart equipment, Personalization, Hospital management, Internet of things

« Previous Next »
Graphical Abstract

[1]
Mitchell-Box, K.; Braun, K.L. Fathers’ thoughts on breastfeeding and implications for a theory-based intervention. J. Obstet. Gynecol. Neonatal Nurs., 2012, 41(6), E41-E50.
[http://dx.doi.org/10.1111/j.1552-6909.2012.01399.x] [PMID: 22861175]
[2]
Ali, O.; Shrestha, A.; Soar, J.; Wamba, S.F. Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review. Int. J. Inf. Manage., 2018, 43, 146-158.
[http://dx.doi.org/10.1016/j.ijinfomgt.2018.07.009]
[3]
Saarikko, T.; Westergren, U.H.; Blomquist, T. The internet of things: Are you ready for what’s coming? Bus. Horiz., 2017, 60(5), 667-676.
[http://dx.doi.org/10.1016/j.bushor.2017.05.010]
[4]
Joshi, A.; Mishra, S.; Jain, D.; Ludhiani, S.; Rajput, A. Artificial intelligence: An emerging technique in pharmaceutical and healthcare systems. In: Bioinformatics Tools and Big Data Analytics for Patient Care; Chapman and Hall/CRC, 2022; pp. 71-90.
[5]
Nazir, S.; Ali, Y.; Ullah, N.; García-Magariño, I. Internet of things for healthcare using effects of mobile computing: a systematic literature review. Wirel. Commun. Mob. Comput., 2019, 2019, 1-20.
[http://dx.doi.org/10.1155/2019/5931315]
[6]
Yuehong, Y.I.; Zeng, Y.; Chen, X.; Fan, Y. The internet of things in healthcare: An overview. J. Ind. Inf. Integr., 2016, 1, 3-13.
[7]
Ruiz-Fernández, D.; Marcos-Jorquera, D.; Gilart-Iglesias, V.; Vives-Boix, V.; Ramírez-Navarro, J. Empowerment of patients with hypertension through BPM, IoT and remote sensing. Sensors, 2017, 17(10), 2273.
[http://dx.doi.org/10.3390/s17102273] [PMID: 28976940]
[8]
Javaid, M.; Haleem, A. Industry 4.0 applications in medical field: A brief review. Curr. Med. Res. Prac., 2019, 9(3), 102-109.
[http://dx.doi.org/10.1016/j.cmrp.2019.04.001]
[9]
Azizy, A.; Fayaz, M.; Agirbasli, M. Do not forget Afghanistan in times of COVID-19: telemedicine and the Internet of things to strengthen planetary health systems. OMICS, 2020, 24(6), 311-313.
[http://dx.doi.org/10.1089/omi.2020.0053] [PMID: 32324451]
[10]
Končar, J.; Grubor, A.; Marić R.; Vučenović S.; Vukmirović G. Setbacks to IoT implementation in the function of FMCG supply chain sustainability during COVID-19 pandemic. Sustainability, 2020, 12(18), 7391.
[http://dx.doi.org/10.3390/su12187391]
[11]
Al-Turjman, F.; Deebak, B.D. Privacy-aware energy-efficient framework using the internet of medical things for COVID-19. IEEE Int. Thin. Mag., 2020, 3(3), 64-68.
[http://dx.doi.org/10.1109/IOTM.0001.2000123]
[12]
Li, C.T.; Wu, T.Y.; Chen, C.L.; Lee, C.C.; Chen, C.M. An efficient user authentication and user anonymity scheme with provably security for IoT-based medical care system. Sensors, 2017, 17(7), 1482.
[http://dx.doi.org/10.3390/s17071482] [PMID: 28644381]
[13]
Lai, Y.L.; Chou, Y.H.; Chang, L.C. An intelligent IoT emergency vehicle warning system using RFID and Wi-Fi technologies for emergency medical services. Technol. Health Care, 2018, 26(1), 43-55.
[http://dx.doi.org/10.3233/THC-171405] [PMID: 29060952]
[14]
Tsikala, V.M.; Atalla, E.; Georgakas, J.; Shehadeh, F.; Mylona, E.K.; Kalligeros, M.; Mylonakis, E. Emerging technologies for use in the study, diagnosis, and treatment of patients with COVID-19. Cell. Mol. Bioeng., 2020, 13(4), 249-257.
[http://dx.doi.org/10.1007/s12195-020-00629-w] [PMID: 32837582]
[15]
Ye, J. The role of health technology and informatics in a global public health emergency: practices and implications from the COVID-19 pandemic. JMIR Med. Inform., 2020, 8(7), e19866.
[http://dx.doi.org/10.2196/19866] [PMID: 32568725]
[16]
Liu, Z.; Li, Q.; Yan, J.; Tang, Q. A novel hyperspectral medical sensor for tongue diagnosis. Sens. Rev., 2007, 27(1), 57-60.
[http://dx.doi.org/10.1108/02602280710723497]
[17]
Haleem, A.; Javaid, M. Industry 5.0 and its applications in orthopaedics. J. Clin. Orthop. Trauma, 2019, 10(4), 807-808.
[http://dx.doi.org/10.1016/j.jcot.2018.12.010] [PMID: 31316261]
[18]
Mishra, S.; Sharma, D.; Srivastava, S.P.; Raj, K.; Malviya, R.; Fuloria, N.K. Telemedicine: The immediate and long-term functionality contributing to treatment and patient guidance. In: Telemedicine: The Computer Transformation of Healthcare; Springer: Cham, 2022; pp. 267-281.
[19]
Zhu, J.X.; Tan, X.R.; Lu, N.; Chen, S.X.; Chen, X.J. Software solution of medical grey relational method based on SAS environment. Grey Sys. Theory App., 2016, 6(3), 309-332.
[http://dx.doi.org/10.1108/GS-06-2016-0011]
[20]
Carroll, N.; Richardson, I. Software-as-a-medical device: demystifying connected health regulations. J. Syst. Inf. Technol., 2016, 18(2), 186-215.
[http://dx.doi.org/10.1108/JSIT-07-2015-0061]
[21]
Akpan, I.J.; Udoh, E.A.P.; Adebisi, B. Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic. J. Small Bus. Entrep., 2022, 34(2), 123-140.
[http://dx.doi.org/10.1080/08276331.2020.1820185]
[22]
Asua, E.; Etxebarria, V.; Garcia, A.; Feuchtwange, J. Micropositioning control of smart shape‐memory alloy‐based actuators. Assem. Autom., 2009, 29(3), 272-278.
[http://dx.doi.org/10.1108/01445150910972958]
[23]
Upadhyay, A.K.; Khandelwal, K. Artificial intelligence-based training learning from application. Dev. Learn. Organ., 2019, 33(2), 20-23.
[http://dx.doi.org/10.1108/DLO-05-2018-0058]
[24]
Raghupathi, W.; Raghupathi, V. Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst., 2014, 2(1), 3.
[http://dx.doi.org/10.1186/2047-2501-2-3] [PMID: 25825667]
[25]
Yang, C.; Huang, Q.; Li, Z.; Liu, K.; Hu, F. Big Data and cloud computing: innovation opportunities and challenges. Int. J. Digit. Earth, 2017, 10(1), 13-53.
[http://dx.doi.org/10.1080/17538947.2016.1239771]
[26]
Pramanik, M.I.; Lau, R.Y.K.; Demirkan, H.; Azad, M.A.K. Smart health: Big data enabled health paradigm within smart cities. Expert Syst. Appl., 2017, 87, 370-383.
[http://dx.doi.org/10.1016/j.eswa.2017.06.027]
[27]
Jagadeeswari, V.; Subramaniyaswamy, V.; Logesh, R.; Vijayakumar, V. A study on medical internet of things and big data in personalized healthcare system. Health Inf. Sci. Syst., 2018, 6(1), 14.
[http://dx.doi.org/10.1007/s13755-018-0049-x] [PMID: 30279984]
[28]
Ojha, S. Recent advancements in artificial intelligence assisted monitoring of heart abnormalities and cardiovascular diseases: A review. Lett. Appl. Nano. Bio. Sci., 2023, 12(3), 1-8.
[29]
Lin, K.; Zhang, W.; He, F.; Shen, J. Evaluation of the clinical efficacy of the treatment of overweight and obesity in type 2 diabetes mellitus by the telemedicine management system based on the internet of things technology. Comput. Intell. Neurosci., 2022, 2022, 1-12.
[http://dx.doi.org/10.1155/2022/8149515] [PMID: 35785080]
[30]
Vainauskienė V.; Vaitkienė R. Foresight study on online health community: The perspective of knowledge empowerment for patients with chronic diseases. Int. J. Health Plann. Manage., 2022, 37(4), 2354-2375.
[http://dx.doi.org/10.1002/hpm.3477] [PMID: 35526084]
[31]
Pradhan, B.; Bharti, D.; Chakravarty, S.; Ray, S.S.; Voinova, V.V.; Bonartsev, A.P.; Pal, K. Internet of things and robotics in transforming current-day healthcare services. J. Healthc. Eng., 2021, 2021, 1-15.
[http://dx.doi.org/10.1155/2021/9999504] [PMID: 34104368]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy