Deploying A Body Sensor Network For Medical Monitoring: Benefits And Risks Of IoT In Healthcare Industry

Benefits of Deploying a BSN for Medical Monitoring

The main aim of this project is to deploy a BSN or body sensor network which would helping in the process of medical monitoring. This would be helping the entire healthcare system to become more flexible along with being cost saving. This new deployed system would also be associated with reducing the user discomfort and would be responsible for increasing the mobility. This would be designed so as to work in an autonomous way along with helping the staffs to become more flexible and accessible for everyone, would also be helping the attendants to reach the patients more than once. This new system would also be preventing any kind of delays in the arrival of patient’s medical information and would also be helping in the reduction of manual data entry for patient’s data.

Q1. What are the outputs of the new system?

Q2. What are the benefits of using the new system?

Q3. What are the risks associated with the new system?

Internet of things is considered to be a very popular topic which commonly viewed as the kind of object that is associated with the usage of internet in order to communicate with each other. Healthcare is considered to be one of eth essential part of life. Medical care and healthcare is associated with representing one of the most attractive application areas for the IoT. The IoT possess the potential of give rise to various kind of medical applications which includes monitoring of health remotely, fitness program and many more. Various type of medical devices sensors, diagnostic and imaging devices are the core part of the IoT. This major objective of this research is to analysis the usage of IoT in the healthcare industry.

                                                                                          Fig 1: Conceptual model

                                                                                       Source: (Gope & Hwang, 2016)

The two research philosophy which has been adopted all over the globe includes the interpretivism research methodology and the positivism research methodology. The former philosophy is associated with taking into account the scientific and the factual data without considering the abstract or the social data. The philosophy discussed is not associated with citing any kind of proper attention to the human factors which acts as an important section of the proposed research as healthcare is derived by the humans and also for the humans. Whereas the positivism is associated with considering the social and the abstract factors. Followed by this the factors are analysed in different ways by depending upon the requirements. The major advantage of the deemed philosophy includes the fact that the logical data and the techniques are analysed by depending upon the various social factors which helps a lot in the identification of the various real-world issues and the applications. The main aim of this this project is deploy the BSN which helps the medical monitoring to become more flexible along with being cost saving. This are also responsible for reduction in user discomfort along with enhancing the mobility.

Risks Associated with the Usage of BSN and IoT in Healthcare Industry

This paper is associated with discussing the healthcare trends which are associated with providing the growth, benefits as well as functionality that the IoT devices are having. The research work is pursued by depending upon the platform which is established by analysing the literary work that has been done upon the IoT and the healthcare. Adaptation of positivism philosophy is to be done by depending upon the selected research study. The philosophy has been selected depending upon the fact that the selected research would be associated with taking into account the scientific as well as the relevant data regarding the IoT and the healthcare. The approach that has been established in order to complete this paper is the deductive approach associated with the adaptation of analytic design which is considered to be the research design. Perusing of the research work is to be done by depending upon the platform that is established by analysing the various literary work conducted over the usage of IoT in healthcare sector. The positivism philosophy has been adopted in order to conduct the research as this philosophy considers the scientific as well as the social data relevant to the usage of IoT. The project would be associated with the development of a BSN or body sensor network which is considered to be one of the network used for special and this has been designed for the purpose of working autonomously so as to connect the different kind of medical sensors and the implanted device in a human body.

The main reason for developing this system includes the making of the healthcare system more flexible and accessible for everyone, providing the staffs associated with providing healthcare with more time to attend the patients, prevention of delays of arrival of patient’s medical information and lastly reduction of manual data entry for patient’s data which eliminates the risk of making mistakes.

The evaluation of the healthcare stakeholders (which includes the internal as well as the external stakeholders) along with the perception that they having, is done in order to conduct the research work. This is mainly done because of the fact that the accurate data can be collected from the sources which are relevant to the topic. So a questionnaire sample is to be prepared which would be distributed among the various healthcare units and the patients who have been associated with the usage of the IoT technology. Besides this there is a need of conducting individual interviews amongst selected ones so as to understand the perception that they are having so as to collect data. Along with this before preparation of the questionnaire and interviews for the survey there is a need of doing a literary review. All this questionnaires and interviews would be based upon the findings from the literary study. After completion of the literary work it would be possible to determine the crucial facts as well as figure which would be of great significance for concluding to the proposed research work.

Literature Review: Usage of IoT in Healthcare Industry

The proposed system design is provided below:

                                                                                        Fig 2: Design of the Proposed system

                                                                                               Source: (Gope & Hwang, 2016)

In this system the various kind of sensors are connected to the Arduino Fio transmitter board. The board is also connected with the xbee module. Transmission of the values that has been sensed is done in an by wireless means to the Arduino receiver and this Arduino in turn is connected to the computer present in the side of the patient and reading of this data is done by making use of the labview which is connected to the internet. This generates a url which can be accessed from any of the computer.

The two most common approach which are to be adopted in order to analyse the result is the deductive and the inductive approach. The research approach that has been adopted is suitable for the research paper and this helps in having an closer view of the facts and the subject which would be helping in the determination of the issues, benefits as well other significant factors related to the usage of IoT in healthcare. The sampling of the data collected is done which would be associated with taking into account the likelihood and the non-likelihood inspection method. Analysis of the data collected is to be done from the survey which would be followed by the sampling of the findings from the interview. The findings from the primary data collection method by means of interviews and questionnaire would be compared with the literary work that is to be done so as to conclude to the findings. This analysis of the data that is collected would be done by taking help from the various analytic tool which includes the MS-Excel and many more.

From the study it can be conclude that the usage of the IoT has brought a change in the process of delivering healthcare. There exists various kind of IoT devices which are connected to the network in an easy way so as to communicate and provide remote assistance as well. This implementation is very much useful and helpful for making revolutionary changes in the IoT. Along with the usage of the IoT devices various kind of changes have been brought in the factors related to remote consulting which is very much helpful for the purpose of detecting various kind of diseases.  The model responsible for delivering healthcare along with the new business has been facilitated irrespective of the various kind of challenges which are compared with the tradition form of healthcare delivery. The project would be delivering a tele-monitoring application that would help the doctors to check the vital parameters of a patient remotely and dynamically by making use of a webpage on a real time basis which would not be requiring any type of special requirements on the PC.

Research Methodology and Design

                                                                                               Fig 3: Work Breakdown Structure

                                                                                                    (Source: Created by Author)

Risk prioritization by developing the risk matrix can be acting as an effective approach for the purpose of delivering a quantitative approach in order to restrict and minimize the risk impacts to the extent level. Following is the risk matrix based on the analysis driven in the above section:

                                                                                                 Fig 4: Gantt chart

                                                                                            (Source: Created by Author)

References

Bhatt, C., Dey, N., & Ashour, A. S. (Eds.). (2017). Internet of things and big data technologies for next generation healthcare.

Darshan, K. R., & Anandakumar, K. R. (2015, December). A comprehensive review on usage of Internet of Things (IoT) in healthcare system. In Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2015 International Conference on (pp. 132-136). IEEE.

Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O. M., Shawkat, S. A., Arunkumar, N., & Farouk, A. (2018). Secure medical data transmission model for IoT-based healthcare systems. IEEE Access, 6, 20596-20608.

Fernandez, F., & Pallis, G. C. (2014, November). Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective. In Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on (pp. 263-266). IEEE.

Gope, P., & Hwang, T. (2016). BSN-Care: A secure IoT-based modern healthcare system using body sensor network. IEEE Sensors Journal, 16(5), 1368-1376.

Laplante, P. A., & Laplante, N. (2016). The internet of things in healthcare: Potential applications and challenges. IT Professional, (3), 2-4.

Subasi, A., Radhwan, M., Kurdi, R., & Khateeb, K. (2018, February). IoT based mobile healthcare system for human activity recognition. In Learning and Technology Conference (L&T), 2018 15th (pp. 29-34). IEEE.

Tao, H., Bhuiyan, M. Z. A., Abdalla, A. N., Hassan, M. M., Zain, J. M., & Hayajneh, T. (2018). Secured Data Collection with Hardware-based Ciphers for IoT-based Healthcare. IEEE Internet of Things Journal.

Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., & Priyan, M. K. (2018). Centralized fog computing security platform for IoT and cloud in healthcare system. In Exploring the convergence of big data and the internet of things (pp. 141-154). IGI Global.

Tyagi, S., Agarwal, A., & Maheshwari, P. (2016, January). A conceptual framework for IoT-based healthcare system using cloud computing. In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp. 503-507). IEEE.

Wu, T., Wu, F., Redoute, J. M., & Yuce, M. R. (2017). An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access, 5, 11413-11422.

Yeh, K. H. (2016). A secure IoT-based healthcare system with body sensor networks. IEEE Access, 4, 10288-10299.

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