The implementation of the internet of things in the healthcare industry is increasing regularly. The security issue is the main problem faced by the IoT implementation in the healthcare industry. The future research about the IoT in the healthcare section has been done.
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Running head: INTERNET OF THINGS IN HEALTHCARE INDUSTRY Internet of Things in Healthcare Industry Name of the Student Name of the University Author Note
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1INTERNET OF THINGS IN HEALTHCARE INDUSTRY Solution: There are numerous problems related to the execution of the internet of things in the healthcare industry. The main issue faced by the IoT implementation in the healthcare industry is the security issue. This type of security issues is occurring due to the improper maintenance of the system. Thus the data retrieved from the smart sensors are becoming useless in this case. It is determined that several health organization does not have any type of control and safety on the access points of the data which is used for transmitting the data and this is the main reason behind this type of security issues(Tyagi, Agarwal & Maheshwari 2016). This type of security issues can be mitigated by the proper authentication, encryption of the data and by creating the data dictionary. The authentication step can be used for limiting the access to the devices and smart sensors. In this case of the security process, the firmware of the device first verified then a device to device communication has been established. This process mitigates the security-related risks of the IoT devices. In the case of encryption, the manufacturers provide encryption technique to provide a secure boot to the IoT devices(Bhatt, Dey & Ashour, 2017). The secure boot can ensure that none of the system settings of the devices is altered. Thus in this ways, the security-related risks can be mitigated. Findings: The above-discussed part of this document is indicating that the internet of things implementation is increasing regularly in the sector of the healthcare. As the implementation of the internet of things in the healthcare field is increasing, the total number of the smart hospitals are increasing with the time. Also, this implementation is forming various types of new disease detecting mechanism which is helping to detect the critical diseases(Holloway & Galvin, 2016). The recent success of the internet of things in the healthcare area is
2INTERNET OF THINGS IN HEALTHCARE INDUSTRY attracting more peoples towards it and for that, the acceptance of the IoT in healthcare is increased highly. The implementation of the internet of things in the healthcare field is not only attracting peoples towards it but also, it is saving many human lives on the daily basis by diagnosing critical diseases with great accuracy. To maintain this precise accuracy, the smart sensors used in this mechanism must be maintained properly. Also from the research, it has been found that this smart mechanism of diagnosing the disease can save the time of the doctors which can greatly increase the productivity of the doctors. Summing up, from the research findings it is determined that the IoT in the healthcare can give an alert about critical conditions of the patients using the smart sensors which can help to save the life of a patient and this system can accurately diagnose the disease for a precise treatment of the patient. Recommendation: The application of the internet of things in the healthcare trade is already featuring great advantages to peoples but some recommendation is given in this case to make this process more fluent and accurate. This recommendation is followed in the below section: There are many health-related smart sensors are available in the market which is necessarily required for a particular type of disease. In many cases, the size of the sensors is too big and the patients face problems to use the sensor(Lee & Lee, 2015). Thus it is recommended to introduce compact sensors which are easy to use. In the case of pulse sensing of the humans, the PPG sensor is very much sensitive. Thus it is recommended to use the PPG sensor for measuring the accurate pulse senses of the human body(Xiong et al., 2016). In many cases, the digital temperature measuring sensor fails to give the accurate results because of the right placement issue of the temperature sensor. Thus it is
3INTERNET OF THINGS IN HEALTHCARE INDUSTRY recommended to use appropriate textiles to hold the sensor in the correct place until it gives correct results. Future Research: In the present time, the implementation of the internet of things in the area of healthcare has gained a huge acceptance by the user community of it. The expectations of the users of the IoT in healthcare is increasing with the success of this. The recent researches about the internet of things in the healthcare industry has indicated that it has great potential in the healthcare market in the coming future(Maksimović, Vujović & Periśić, 2015). It is determined that this smart system will be able to diagnose the critical disease with great accuracy and with the diagnosis of the diseases this system will be able to prescribe the medicine for the diagnosed disease. Also, with the growing time, this system will be able to gather the various type of disease data from the diagnosis process. This data will help the systems to detect the disease faster and accurately(Ngu et al., 2017). Advantages and Disadvantages: The main advantages of the IoT in the healthcare industry are the: The internet of things in the healthcare industry can help to track the records of the medicines and can accurately calculate the dosage of the medicine required by the patients(Ukil et al., 2016). Hence, by this perfect calculation, the system can stop the wastage of the medicines. Human errors in the diagnosis process can be greatly minimized by the use of the IoT in the healthcare applications. The disadvantages of the IoT in the healthcare industry are the:
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4INTERNET OF THINGS IN HEALTHCARE INDUSTRY Security breaches in the IoT devices is a huge concern. This is a commonly happened issue which can take the life of the patient in the great danger. Another disadvantage is the privacy issue. The privacy-related information of the patient is not secured in this type of system. Conclusion: From the above argument, it can be concluded that the execution of the IoT in the healthcare system has a huge technical advancement to build a proper functioning healthcare system. In this document, various reasons to consider the IoT in the healthcare system is discussed. The future research about the IoT in the healthcare section has been done. The researches have been determined that this system can relatively minimize the human errors and for this reason, this system is recommended everywhere in the healthcare industry. Also, it is determined that the data collected by this system can help to detect the diseases faster and accurate in the future generations.
5INTERNET OF THINGS IN HEALTHCARE INDUSTRY References: Bhatt, C., Dey, N., & Ashour, A. S. (Eds.). (2017). Internet of things and big data technologies for next-generation healthcare. Holloway, I., & Galvin, K. (2016).Qualitative research in nursing and healthcare. John Wiley & Sons. Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises.Business Horizons,58(4), 431-440. Maksimović, M., Vujović, V., & Periśić, B. (2015, June). A custom Internet of Things healthcare system. InInformation Systems and Technologies (CISTI), 2015 10th Iberian Conference on(pp. 1-6). IEEE. Ngu, A. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, Q. Z. (2017). IoT middleware: A survey on issues and enabling technologies.IEEE Internet of Things Journal,4(1), 1- 20. Tyagi, S., Agarwal, A., & Maheshwari, P. (2016). A conceptual framework for IoT-based healthcare system using cloud computing. InCloud System and Big Data Engineering (Confluence), 2016 6th International Conference(pp. 503-507). IEEE. Ukil, A., Bandyoapdhyay, S., Puri, C., & Pal, A. (2016). IoT healthcare analytics: The importanceofanomalydetection.InAdvancedInformationNetworkingand Applications (AINA), 2016 IEEE 30th International Conference on(pp. 994-997). IEEE. Xiong, J., Cai, L., Jiang, D., Song, H., & He, X. (2016). Spectral Matrix Decomposition- BasedMotionArtifactsRemovalinMulti-ChannelPPGSensorSignals.IEEE Access,4, 3076-3086.