MOD003328 Business Information Systems Assignment Sample

MOD003328 Business Information Systems Assignment

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Introduction - MOD003328 Business Information Systems

IoT-enabled appliances compel remote monitoring in the healthcare sector, unleash the possibility to protect the security and health of victims, and enable doctors to furnish elevated quality care. As interaction with doctors becomes easier and more efficient, it also heightens patient participation and enjoyment. In addition, remote monitoring of patient health can enable lessened hospital stays and prevent readmissions. The Internet of Things also has a significant impact on considerably curtailing healthcare expenses and enhancing treatment consequences. The Internet of Things is certainly renovating the healthcare industry by redefining the appliance and human interaction spaces that provide healthcare outcomes (Huang et al.,2019).

Wearable equipment such as fitness bracelets and additional wirelessly affiliated devices such as blood pressure and heart rate monitoring cuffs, blood glucose meters, etc allow sufferers to obtain personalized scrutiny. This equipment can be modified to remember calorie counts, exercise inspections, appointments, blood pressure changes, and more. The Internet of Things has altered people's vitalities, particularly elderly patients, by continuously trailing their health circumstances. This has an important consequence on people staying alone and their households. In the event of any disruption or modification in a person’s daily training, the alarm mechanism delivers signals to family members and related healthcare providers (Abbasy and Quesada, 2017).

Task 1

There is presently no universal definition or description of the Internet of Things (IoT), and no one can discern everything that the Internet of Things implies to be productive in the long race. One description of the Internet of Things is that it is of course a comprehensive name for a broad spectrum of technologies, applications, and utilization of cases. These IoT method topics are inferred through the association of items and appliances. These subjects and appliances can be uniquely addressed through Internet technology (IP address) and capture, transmit, and obtain data according to their objective. Of course, all this pertains to this data and it enables it to be comprehended. When we inevitably chat about data, we also explain once that all technologies and strategies within the spectrum of the Internet of Things are pertained to renovating these data into understanding, actions, and judgments. We generally don’t recognize the rich and distinct technologies under the spectrum of the Internet of Things and numerous other terms, such as Internet of Services, Consumer Internet of Things (also known as CioT), Industrial Internet of Things (IIoT), Industry 4.0, Internet of Medical Products, Internet of Everything (also known as IoE) and more phrases retain their acronyms (Viriyasitavat et al.,2019).

The Internet of Things has its technology assortment, commencing with connecting aspects, apprehending data and communicating, and expiring with applications. Data is innately stupid. When agreeing on what we do with it, we should also prioritize which data is altered into evidence, which data is the most crucial, and how we blend data from various references and several forms; an adequate data management practice case (Xu et al.,2017).

There are numerous descriptions of the Internet of Things. It relies on how one looks at it and on which perspective: technical perspective, industry background, application perspective, benefits, etc. One can also interpret the Internet of Things as the successive degree of the Internet, as some folk says, with sensors and actuators attached to the Internet, so they can obtain, deliver, and attain data, occurring in smarter explanations, and in some circumstances, actions can also be put up with on the data (Lu et al.,2018).

The Internet of Things is a new or web of connected appliances, with a distinctive identifier in the aspect of an IP address or with embedded technology or technology that facilitates them to anticipate, obtain data and comprehend the setting in which they are discovered and the conceivable and certainty of the Internet of Things It does not prevaricate in the proficiency to pertain objects that promote the Internet of Things, nor does it fabricate in embedded technologies and electronic equipment such as sensors, actuators, and connectivity facilities. It prevails in the path the Internet of Things uses to understand data, mechanization, digitization, optimization, digitization, and adaptation of procedures, business prototypes, and even enterprises within the spectrum of digital transformation at a further mature phase (Abdulla et al.,2020).

Although we speak about the Internet of Things as if it is an aspect, from the notch of our belief of the objective in a particular use lawsuit, it is an ecosystem composed of unavoidable pertinent procedures and other techniques. It is not just about affiliated devices, but also about hardware, software, connectivity and communication procedures, middleware, etc. to establish an Internet of Things outcome as interpreted above. When we discuss the Internet of Things in the context of fine and fitness trackers, this has slight familiarity with the Internet of Things because it is utilized in industrial settings such as smart supply chain administration, manufacturing, or interconnected logistics to furnish some instances of the industrial Internet or how the Internet of Things is utilized in creative enable offices or smart cities (Ali et al.,2018). This is why people commence to fraction various IoT market portions or commence to reimburse more awareness to several use cases.

An important characteristic of IoT

Connectivity: This is a necessity that should not be interpreted too much. With everything getting on in IoT devices and hardware, detectors and other electronic equipment, and pertaining hardware and control operations, connections require to be ascertained between numerous levels.

Thing: Anything that can be characterized or connected, such as it is constructed to be attached. From sensors and home equipment to indexed livestock. Devices can include sensors or sensing equipment that can be related to appliances and items (Ullah et al.,2019).

Communication: Devices pertain so that they can communicate data and can analyze this data. Communication can transpire over short distances or long distances to very long extents. For example, Wi-Fi, LPWA network technology, such as LoRa or NB-IoT.

Location: Look at the locale of the Internet of Things from the viewpoint of other techniques and technologies, societies, objectives, and the image that the Internet of Things matches into. The extents of the Internet of Everything, the magnitudes of the platform, and the necessity for a strong partnership (Atlam et al.,2017).

Task 2

The Internet of Things is a computing theory that interprets a prospect where every physical matter will be pertained to the Internet and be eligible to observe itself and interact with other appliances locally or remotely. The Internet of Things is directly broadening and is altering every application region, encompassing healthcare, improving public safety by inaugurating smart services that enable enhanced health and well-being, and facilitating a nicer shopping experience. Regulate them appropriately and handle the enormous data availability documented in the preceding two decades at the exact time. In the past two decades, big data has been widely esteemed as a beneficial computing paradigm, and it has increased consensus among institutes, administrations, and industries (Sundaravadivel et al., 2019).

The (IoT) Internet of Things can transform the way civilization lives. Lately, there have been many independent types of research examining the potential of encompassing IoT impressions in the healthcare division. The Internet of Things can contribute multiple purposes to strengthen the quality of life of citizens and illustrate lifestyle recommendations for welfare. To enlighten that the Internet of Things refers to numerous good analyses that have formerly been put ahead, each healthcare displays an insurance challenge (Din et al.,2018).

Blood glucose monitoring can demonstrate individual structures of blood glucose modifications and assist in plan feeds, recreations, and medication time. Some investigators have formulated an m-IoT configuration procedure for real-time non-invasive glucose detection. In this method, the victim sensor pertains to the health care provider via an IPv6 relationship. The utility model divulges transmission equipment, which is utilized for disseminating blood glucose somatic cell data obtained from an Internet of Things network. The equipment encompasses a blood glucose meter, a mobile phone or a computer, and a processor in the atmosphere (Serpanos and Wolf,2017).

Wireless Sensor Networks (WSN)

A wireless sensor network abbreviated as WSN can be interpreted as a network formulated of little embedded tools called sensors that disseminate wirelessly according to unique compositions. WSN comprises spatially disseminated autonomous sensor appliances for surveying biological or environmental circumstances and can collaborate with RFID networks to better track the significance of aspects such as movement, pressure, weather, and locale. WSN can furnish a mixture of valuable data and be utilized in numerous fields, such as healthcare, administration, and environmental employment, natural disaster recovery, federal defense such as military target pursuit and surveillance, difficult environment analysis, and seismic sensing. For instance, General Electric possesses deployed sensors in its jet engines, turbines, and wind ranches. By evaluating the data in real-time, GE conserves time and money about preventive management (Dang et al.,2019).

Big Data

Due to the revolutionary development of several technologies, including cloud computing, the extent of social media, and wireless communication technologies, big data is a current term for large quantities of stored/developed data. It is interpreted according to the volume of the data (volume), the species of data found on the authority of production (variety), and the regularity of time the data is developed (velocity); every minute, day, month, or ten years (Lakshmanaprabu et al.,2019).

Internet of things in Health Care

The rising expenditure of healthcare and the increasing popularity of modern personal health devices are aspects of the understanding of the Internet of Things in correlating healthcare. Due to the availability of current technological equipment, the illusion of pertained healthcare is accumulating. Through the Internet of Things and contemporary technologies, it is obvious to ascertain a health application that happens every morning, petitioning to assess the glucose degree in the blood and collect data from the client. In the conception of connected healthcare, patients are those who regulate their health and protect good physical and mental health due to this entreaty. Supervise health. The Internet of Things will assist doctors to concede quickly to emergencies and enable them to collaborate with international hospitals to trace the status of patients. There are other applications of the Internet of Things, such as patient designation (Din et al.,2018).

Challenges of Healthcare Sector

Most regions of the world are confronting tremendous challenges in organizing the severe living environment of child mortality, aging populations, and impoverished health. Although the widespread demand for medical assistance has been boosting in recent years, among them citizens move to glimpse a doctor when they are nauseous. We citizens briefly inaugurated some of the challenges of the Internet of Things in healthcare:

Compliance monitoring: There is no path for doctors to reasonably evaluate whether their victims are following prescribed medications, which may encompass medications, restoration exercises, and preventive training, such as preventing diet. It is widespread for the absence of adhesion to heighten the danger of hospitalization and accordingly improve the economic responsibility of patients and their households (Akpakwu et al.,2017).

Insufficient and prospective time: The improvement in population oversees a boost in infections and disability, which restricts doctors from administering high-quality period surveys on each patient. Due to the short screening moment, doctors require the patient's daily actions, such as physical recreation, diet, sleep, and social life. All these characteristics are equally significant in the diagnosis and treatment procedure.

Integration of numerous equipment and protocols: The assortment of appliances in the network is another challenge for the accomplishment of the Internet of Things in the arena of healthcare. Guaranteeing that multiple appliances pertain and that numerous users disseminate effectively with each other is a difficulty. The complication is that many appliance manufacturers do not have an agreed set of communication strategies and norms. Although numerous mobile equipment can pertain to the network and vigorously obtain data, several communication strategies confuse the aggregation procedure (Hamidi, 2019).

Another challenge is the safety and security challenges, which implicate managing certifications and regulating access to patient petitions and classified information. For instance, health care providers are permitted to access appliances in rejoinder to the necessities of patient sensor appliances, but the Internet connection utilized may be a public or hazardous Wi-Fi network, which can handily become an intermediary. Many authentication procedures can be utilized so that victims can ascertain and enable doctors to approach their internal equipment (He et al.,2018).

The rising expense of healthcare and the increasing popularity of modern personal health appliances are a fraction of the conception of the Internet of Things in pertaining healthcare. Due to the availability of recent technological devices, the conception of connected healthcare is accumulating. Through the petition of the Internet of Things and new technologies, it is feasible to establish a health application that happens every morning, petitioning to examine the glucose level in the blood and automatically collect victim data. In the illusion of pertained healthcare, sufferers pertain to people who regulate their health and conserve decent physical and mental health through this petition. In addition, enabling real-world strategies for the Internet of Things (IoT) in healthcare oversees decent accountability and supervision of health (Yavuz et al.,2018).

The Internet of Things will encourage doctors to concede rapidly in emergencies and enable them to collaborate with international hospitals to trace the importance of patients. IoT dressings can also be established in-home monitoring, primarily for heart downfall in the elderly with particular desires or chronic disorders like diabetes and congestion. There are different conditions of the Internet of Things, such as patient designation, this application intends to curtail patient unfavorable circumstances and conserve comprehensive electronic medical certificates (Hosseini et al.,2017).

Task 3

Chain marketing understands the substantial procedure of meeting customer requirements. Marketing management suggestions will promote the training of this process. The marketing literature has dedicated substantial effort to interpret the nature and capacity of these desires and their connection to customer enjoyment and marketing accomplishment.

First of all, it must be emphasized that although some commodities can appreciate healthy sales, they may only be peddled because there are no possibilities that can contend to persuade the marked customer group. The true accomplishment of marketing lies in furnishing a bundle of particular advantage options that customers value. Both marketers and consumers comprehend that customer value is crucial to competitive achievement. Nonetheless, the marketing literature indicates several numerous types of customer value without expending too much notoriety to a unanimous theory of value. The literature publishes numerous value concentrates, encompassing establishing customer value, consumer perceived value, and customer value (Mahdavinejad et al.,2018). The absence of a central emphasis may be due to the multiplicity of quotations of literature on value. Examined value from an eclectic viewpoint in the arenas of frugality, theory, organizational behavior, etc.

Each field has participated to value knowledge. Nonetheless, economics and administrative behavior have particular relevance. For instance, the impact of economics can be glimpsed in the chore of marketers, who characterize that consumer will disseminate their earnings to maximize their achievement with commodities and services. Organizational behavior impact contemplates many value-related applications. An example interprets the value that can be established when numerous participants collaborate and trade (Al-Garadi et al.,2020).

There is a discrepancy between the value clenched by the consumer and the value obtained from the marketing transaction. Value is frequently the standard by which customers assess the importance of a commodity or service. Value is often the earnings from the requirement of commodities or assistance and maybe the net value of costs and advantages. A relevant idea is the notion of use-value. Customer products disseminate value. Accordingly, drinking bottled water in hot weather can make people feel refreshed. Since bottled water is generally not available, the importance that consumers obtain relies on the cost of the commodity. Some significant tasks implicate price, anticipated quality, and anticipated value. The assignment is that the consumer agrees on how much value he or she emanates from a put-on transaction (Triantafyllou et al.,2018). When a commodity does not furnish the advantages that consumers anticipate, they will realize dissatisfaction and discontent. It does not be of consequence whether their intentions are acceptable. Nonetheless, the provider is accountable for furnishing a sequel of advantages for its commodity or service. These advantages may appear in the aspect of packaging, finance, advertisement, customer service, establishment, teaching and advice, delivery interpretations, and other crucial elements.

Conclusion

The medical Internet of Things is not without its challenges. Connected appliances that benefit the Internet of Things capture huge quantities of data, encompassing sensitive information, which raises suspicions about data security. Enforcing reasonable security measures is important. The Internet of Things examines a new proportion of patient care through real-time health monitoring and admission to patient health data (Ni et al.,2017).

This data is a gold mine for healthcare stakeholders to enhance patient health and knowledge, while at the same time establishing income alternatives and enhancing healthcare operations. Being prepared to suppress this digital power will substantiate it to be a differentiator in an increasingly corresponding world.

References

Abbasy, M.B. and Quesada, E.V., 2017. Predictable influence of IoT (Internet of Things) in higher education. International Journal of Information and Education Technology, 7(12), pp.914-920.

Abdulla, A.I., Abdulraheem, A.S., Salih, A.A., Sadeeq, M.A., Ahmed, A.J., Ferzor, B.M., Sardar, O.S. and Mohammed, S.I., 2020. Internet of things and smart home security. Technol. Rep. Kansai Univ, 62(5), pp.2465-2476.

Akpakwu, G.A., Silva, B.J., Hancke, G.P. and Abu-Mahfouz, A.M., 2017. A survey on 5G networks for the Internet of Things: Communication technologies and challenges. IEEE access, 6, pp.3619-3647.

Al-Garadi, M.A., Mohamed, A., Al-Ali, A.K., Du, X., Ali, I. and Guizani, M., 2020. A survey of machine and deep learning methods for internet of things (IoT) security. IEEE Communications Surveys & Tutorials, 22(3), pp.1646-1685.

Ali, M.S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F. and Rehmani, M.H., 2018. Applications of blockchains in the Internet of Things: A comprehensive survey. IEEE Communications Surveys & Tutorials, 21(2), pp.1676-1717.

Atlam, H.F., Alenezi, A., Alharthi, A., Walters, R.J. and Wills, G.B., 2017, June. Integration of cloud computing with internet of things: challenges and open issues. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 670-675). IEEE.

Dang, L.M., Piran, M., Han, D., Min, K. and Moon, H., 2019. A survey on internet of things and cloud computing for healthcare. Electronics, 8(7), p.768.

Din, I.U., Guizani, M., Hassan, S., Kim, B.S., Khan, M.K., Atiquzzaman, M. and Ahmed, S.H., 2018. The Internet of Things: A review of enabled technologies and future challenges. Ieee Access, 7, pp.7606-7640.

Hamidi, H., 2019. An approach to develop the smart health using Internet of Things and authentication based on biometric technology. Future generation computer systems, 91, pp.434-449.

He, Y., Guo, J. and Zheng, X., 2018. From surveillance to digital twin: Challenges and recent advances of signal processing for industrial internet of things. IEEE Signal Processing Magazine, 35(5), pp.120-129.

Hosseini, M.P., Pompili, D., Elisevich, K. and Soltanian-Zadeh, H., 2017. Optimized deep learning for EEG big data and seizure prediction BCI via internet of things. IEEE Transactions on Big Data, 3(4), pp.392-404.

Huang, Z., Xu, X., Ni, J., Zhu, H. and Wang, C., 2019. Multimodal representation learning for recommendation in Internet of Things. IEEE Internet of Things Journal, 6(6), pp.10675-10685.

Lakshmanaprabu, S.K., Shankar, K., Ilayaraja, M., Nasir, A.W., Vijayakumar, V. and Chilamkurti, N., 2019. Random forest for big data classification in the internet of things using optimal features. International journal of machine learning and cybernetics, 10(10), pp.2609-2618.

Lu, Y., Papagiannidis, S. and Alamanos, E., 2018. Internet of Things: A systematic review of the business literature from the user and organisational perspectives. Technological Forecasting and Social Change, 136, pp.285-297.

Mahdavinejad, M.S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P. and Sheth, A.P., 2018. Machine learning for Internet of Things data analysis: A survey. Digital Communications and Networks, 4(3), pp.161-175.

Ni, J., Zhang, K., Lin, X. and Shen, X., 2017. Securing fog computing for internet of things applications: Challenges and solutions. IEEE Communications Surveys & Tutorials, 20(1), pp.601-628.

Serpanos, D. and Wolf, M., 2017. Internet-of-things (IoT) systems: architectures, algorithms, methodologies. Springer.

Sundaravadivel, P., Kougianos, E., Mohanty, S.P. and Ganapathiraju, M.K., 2017. Everything you wanted to know about smart health care: Evaluating the different technologies and components of the internet of things for better health. IEEE Consumer Electronics Magazine, 7(1), pp.18-28.

Triantafyllou, A., Sarigiannidis, P. and Lagkas, T.D., 2018. Network protocols, schemes, and mechanisms for internet of things (iot): Features, open challenges, and trends. Wireless communications and mobile computing, 2018.

Ullah, F., Naeem, H., Jabbar, S., Khalid, S., Latif, M.A., Al-Turjman, F. and Mostarda, L., 2019. Cyber security threats detection in internet of things using deep learning approach. IEEE Access, 7, pp.124379-124389.

Viriyasitavat, W., Anuphaptrirong, T. and Hoonsopon, D., 2019. When blockchain meets Internet of Things: Characteristics, challenges, and business opportunities. Journal of industrial information integration, 15, pp.21-28.

Xu, J., Yao, J., Wang, L., Ming, Z., Wu, K. and Chen, L., 2017. Narrowband internet of things: Evolutions, technologies, and open issues. IEEE Internet of Things Journal, 5(3), pp.1449-1462.

Yavuz, F.Y., Ünal, D. and Gül, E., 2018. Deep learning for detection of routing attacks in the internet of things. International Journal of Computational Intelligence Systems, 12(1), pp.39-58.