Facilitating Healthcare Sector through IoT: Issues, Challenges, and Its Solutions
DOI:
https://doi.org/10.4108/eetiot.v9i4.4317Keywords:
IoT, healthcare, Wearable devices, security, Blockchain, Fog ComputingAbstract
INTRODUCTION: Nowadays, the Internet of Things (IoT) is one of the thriving technologies which incredibly enhances the standardization and modernization of any field. Healthcare has been facing so many conundrums that now could be catered to by the technology of IoT. IoT has found its application in the healthcare sector in the form of various health monitoring devices as well as sma4rfj, and tjti88lirt wearables for efficiently monitoring the health status of patients and improving upon the traditional infrastructure. Further, IoT in healthcare introduces and identifies the intelligent trend and directions by which one can be aware of health, fitness, and ailments. In this way, IoT progressively adds to the medical field and healthcare. At the same time, there are some challenges which are pertaining to IoT in healthcare which include the breaching of confidential information such as patient data.
OBJECTIVES: The paper aims to discuss the solutions to this problem in detail.
METHODS: The paper fulfils its objectives through the deployment of technology such as blockchain and fog computing. This paper delineates the comparative study of how IoT assimilates healthcare.
RESULTS: The paper discusses various identified technologies to overcome the challenges in IoT for healthcare.
CONCLUSION: The amalgamation of IoT with healthcare shows efficacious outcomes. It can even create the difference between life and death. IoT overcomes the shortcomings of the traditional healthcare system. However, there are some challenges of securities associated with the IoT technology which can be coped with some measures such as cryptography, and blockchain etc.
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Haghi, M., Neubert, S., Geissler, A., Fleischer, H., Stoll, N., Stoll, R., & Thurow, K., A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring. IEEE Internet of Things Journal, 7(6), 5628-5647 (2020) DOI: https://doi.org/10.1109/JIOT.2020.2980432
Patel, N. Internet of things in healthcare: applications, benefits, and challenges. (2017) Internet: https://www. peerbits.com/blog/internet-of-things-healthcare-applications-benefits-andchallenges. html, [Accessed May 25, 2021].
Sharma, S., Chen, K., & Sheth, A. Toward practical privacy-preserving analytics for IoT and cloud-based healthcare systems. IEEE Internet Computing, 22(2), 42-51(2018). DOI: https://doi.org/10.1109/MIC.2018.112102519
Vijayakumar, K., & Bhuvaneswari, V.. A Ubiquitous first look of IoT Framework for Healthcare Applications in International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1-7). IEEE (2020). DOI: https://doi.org/10.1109/ic-ETITE47903.2020.146
Alharam, A. K., & El-madany, W., Complexity of cyber security architecture for IoT healthcare industry: a comparative study in 5th international conference on future internet of things and cloud workshops (FiCloudW) (pp. 246-250). IEEE (2017). DOI: https://doi.org/10.1109/FiCloudW.2017.100
Ugrenovic, D., & Gardasevic, G. , CoAP protocol for Web-based monitoring in IoT healthcare applications. In 2015 23rd Telecommunications Forum Telfor (TELFOR) (pp. 79-82). IEEE (2015). DOI: https://doi.org/10.1109/TELFOR.2015.7377418
Singh, I., & Kumar, D., Improving IOT Based Architecture of Healthcare System in 4th International Conference on Information Systems and Computer Networks (ISCON) (pp. 113-117). IEEE (2019). DOI: https://doi.org/10.1109/ISCON47742.2019.9036287
Hamim, M., Paul, S., Hoque, S. I., Rahman, M. N., & Baqee, I. A., IoT based remote health monitoring system for patients and elderly people in International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 533-538). IEEE (2019). DOI: https://doi.org/10.1109/ICREST.2019.8644514
Anand, S., & Routray, S. K.. Issues and challenges in healthcare narrowband IoT in International Conference on Inventive Communication and Computational Technologies (ICICCT) (pp. 486-489). IEEE, (2017). DOI: https://doi.org/10.1109/ICICCT.2017.7975247
Bansal, M., & Gandhi, B., IoT based development boards for Smart Healthcare Applications in 4th International Conference on Computing Communication and Automation (ICCCA) (pp. 1-7). IEEE (2017). DOI: https://doi.org/10.1109/CCAA.2018.8777572
Smart Wearable ECG EKG Monitor - QardioCore (2021) https://www.getqardio.com/qardiocore-wearable-ecg-ekg-monitor-iphone
IoT Security in Healthcare: What You Need to Know Before Development Start | Aimprosoft. (2021). https://www.aimprosoft.com/blog/iot-security-in-healthcare-software-development/
Overcoming the Legacy Systems Challenge in Software Development for the Healthcare Industry - VARTEQ Inc. (2021), https://varteq.com/overcoming-the-legacy-systems-challenge-in-software-development-for-the-healthcare-industry/
Bohn, R. & Messina, John & Liu, Fang & Tong, Jin & Mao, Jian. , NIST Cloud Computing Reference Architecture. 594-596. 10.1109/SERVICES.2011.105. (2011). DOI: https://doi.org/10.1109/SERVICES.2011.105
Gilchrist, A.. Industry 4.0: the industrial internet of things. Apress (2016). DOI: https://doi.org/10.1007/978-1-4842-2047-4_12
Mell, P., & Grance, T.The NIST definition of cloud computing. National Institute of Standards and Technology. Information Technology Laboratory, Version, 15(10.07) (2009).
IoT Security in Healthcare: What You Need to Know Before Development Start | Aimprosoft. (2021). www.aimprosoft.com/blog/iot-security-in-healthcare-software-development/
Rani, D. J., & Roslin, S. E. Light weight cryptographic algorithms for medical internet of things (IoT)-a review. In 2016 Online International Conference on Green Engineering and Technologies (IC-GET) (pp. 1-6). IEEE (2016) DOI: https://doi.org/10.1109/GET.2016.7916703
Aazam, M., Zeadally, S., & Harras, K. A. Deploying fog computing in industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics, 14(10), 4674-4682, (2018). DOI: https://doi.org/10.1109/TII.2018.2855198
Dastjerdi, A. V., & Buyya, R. Fog computing: Helping the Internet of Things realize its potential. Computer, 49(8), 112-116, (2016). DOI: https://doi.org/10.1109/MC.2016.245
How Using Blockchain in Healthcare Is Reviving the Industry's Capabilities. (2021). https://builtin.com/blockchain/blockchain-healthcare-applications-companies
Selvaraj, S., Sundaravaradhan, S. Challenges and opportunities in IoT healthcare systems: a systematic review. SN Appl. Sci. 2, 139 https://doi.org/10.1007/s42452-019-1925-y (2020). DOI: https://doi.org/10.1007/s42452-019-1925-y
Electronic Health Record Systems: Features, EHR Vendors, and Adoption Advice. (2021). https://www.altexsoft.com/blog/electronic-health-record-systems/
The Top 19 Internet of Things (IoT) Security Solutions - Security Boulevard. (2021). https://securityboulevard.com/2020/12/the-top-19-internet-of-thingsiot-security-solutions/
Dimitrov, D. V. Blockchain applications for healthcare data management. Healthcare informatics research, 25(1), 51. (2019). DOI: https://doi.org/10.4258/hir.2019.25.1.51
Naresh, V. S., Pericherla, S. S., Murty, P. S. R., & Reddi, S. Internet of Things in Healthcare: Architecture, Applications, Challenges, and Solutions
Shareem Thahir on BuzzFeed. (2021), https://www.buzzfeed.com/cabotsolutions
Blockchain in healthcare use cases - Itransition. (2021), https://www.itransition.com/blog/blockchain-in-healthcare
12 Tell-Tale Signs of Blockchain Adoption Amidst COVID-19. (2021), https://appinventiv.com/blog/blockchain-adoption-amidst-coronavirus/
Agarwal N., Jain A., Gupta A., Tayal D.K. Applying XGBoost Machine Learning Model to Succor Astronomers Detect Exoplanets in Distant Galaxies. In: Dev A., Agrawal S.S., Sharma A. (eds) Artificial Intelligence and Speech Technology. AIST 2021. Communications in Computer and Information Science, vol 1546. Springer, Cham. https://doi.org/10.1007/978-3-030-95711-7_33, (2022). Information Science, 2021. DOI: https://doi.org/10.1007/978-3-030-95711-7_33
Agarwal, N., Srivastava, R., Srivastava, P., Sandhu, J., Singh, Pratap P. Multiclass Classification of Different Glass Types using Random Forest Classifier. 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022. p. 1682-1689. DOI: https://doi.org/10.1109/ICICCS53718.2022.9788326
Agarwal, N., Singh, V., Singh, P. Semi-Supervised Learning with GANs for Melanoma Detection. 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022. p. 141-147. DOI: https://doi.org/10.1109/ICICCS53718.2022.9787990
Tayal, D.K., Agarwal, N., Jha, A., Deepakshi, Abrol, V. To Predict the Fire Outbreak in Australia using Historical Database. 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022. p. 1-7. DOI: https://doi.org/10.1109/ICRITO56286.2022.9964603
Agarwal, N., Tayal, D.K. FFT based ensembled model to predict ranks of higher educational institutions. Multimed Tools Appl 81, 2022. DOI: https://doi.org/10.1007/s11042-022-13180-9
Ghosh, H., Tusher, M.A., Rahat, I.S., Khasim, S., Mohanty, S.N. (2023). Water Quality Assessment Through Predictive Machine Learning. In: Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_6 DOI: https://doi.org/10.1007/978-981-99-3177-4_6
Alenezi, F.; Armghan, A.; Mohanty, S.N.; Jhaveri, R.H.; Tiwari, P. Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light. Water 2021, 13, 3470. https://doi.org/10.3390/w13233470 DOI: https://doi.org/10.3390/w13233470
G. P. Rout and S. N. Mohanty, "A Hybrid Approach for Network Intrusion Detection," 2015 Fifth International Conference on Communication Systems and Network Technologies, Gwalior, India, 2015, pp. 614-617, doi: 10.1109/CSNT.2015.76. DOI: https://doi.org/10.1109/CSNT.2015.76
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