Loading...

Messages

Proposals

Stuck in your homework and missing deadline?

Get Urgent Help In Your Essays, Assignments, Homeworks, Dissertation, Thesis Or Coursework Writing

100% Plagiarism Free Writing - Free Turnitin Report - Professional And Experienced Writers - 24/7 Online Support

Medical internet of things and big data in healthcare

Category: Health Education Paper Type: Report Writing Reference: APA Words: 4140

        There are many changes in the people’s life style in past ten years with encountering change in their everyday habits. Internet of things is created to make everyone as a part of the human centric networks by making low-cost and low-power technologies affordable to everyone. Most of the care services will be derived within next fifteen years. It is expected to have wearable from phones and monitoring from phones is of 24 hours with handling of mentioned devices. From hospitals to end users, it will provide extensive production regarding sensing technologies. In medical records, these valuable devices owned by physicians and patients is one of the most competitive and challenges topics for research in the next 10 years. In association with new challenges and requirements, there will be new security policies and millions of IoT devices. There are several challenges that are expected such as privacy, node failure and other various factors the researchers have discussed systems of healthcare in a new proposed manner. The main focus of these papers is to fulfill requirements related to security and companies are providing different challenges that can serve healthcare benefits in a virtual way with the use of monitoring devices for patient care and current status. Modified dynamic policy rules are set by compliance body at international level to get accountability in specialized way in perspective of compliance issues that are related to IoT.

        For conversion of large amount of money to data it is observed for the business that is based on IoT with the help of technologies. User’s privacy in business protection was tackled as a challenge. There is big data exchange between devices and IoT networks due to which privacy challenge has become a challenge. In this paper, there is introduction of various approaches to the users and IoT based interactions while policy based framework is implementing. Privacy challenges that are expected will suffer by IoT in the upcoming time. On the involved stakeholders, the thing that will widely affect is privacy of patients.

        Health related internet of things is playing a major role in health care management and disease prevention as health care data collection is easy (Schmidt & Verweij, 2013). At that time, world is moving so far and people are using technologies in versatile way. Patients are now treated online and people provide their data at internet for the consultancy of their doctor. They describe their conditions very well with all the related problems with respect to which patients get their treatment. It is very helpful in a way but in online consultancy and treatment, an issue arise about the private information of the patient that patient has provided to doctor. This information is not secure enough and can be used by some other person creating ethical, legal and social challenges. There are various health care apps that are available and easy to access (Lupton, 2015). Several opportunities and challenges related to ethical, legal and social aspects will be discussed in research proposal with various implementations and recommendations.

Literature review of Medical internet of things and big data in healthcare

        The research that has been done in by previous researchers for privacy and security has been mentioned there. In new IoT environment, principles of Australian privacy could secure the privacy at individual level. To overcome legal challenges, legal evolution was proposed. To be specialized in security and accountability of legal issues related to IoT, dynamic modification policy rules are set by an international legal body. The authors do research on security issues that are in relation to healthcare IoT application with its effectiveness, problems related to employees and integration of various devices of IoT in health care system by investigating detailed interoperability. Some other authors also studied some challenges by cars number recorded as 70 billion with 7 billion of for human’s connection of devices at versatile level and number is in thousands of billions to the infrastructure of internet.

        The flexible products are not offered by market that can use interchangeably but some of the devices are offered by formers which form route to preconfigured servers. While integration of billions of IoT devices in various terms is done, this type of solution does not provide extreme solutions. However, by the use of service-oriented architectures, for the base of middleware architecture in fixed network, a mechanism is required. There are also some examples in literature which shows that personal privacy can be dismissed as data send consists of information as well as physical privacy. It can transgress social, temporal and ethical borders and there has shown decisional disturbances from third parties with the dissemination of personal information.

        The IoT system sensors have versatility in its types according to its requirement and use. Such as presence of medical applications, blood pressure, temperature, level of sugar etc. only few family gadgets are sold these days that are without sensors. Positioning technology is utilized by IoT to determine the exact position of patient with the help of GPS that uses satellite for monitoring of position of patient. Today technology use is increasing at extensive level but it is putting humanity on the edge by creating several problems that can affect many aspects.

        There is use of positioning technology as there are various technologies versatile range positioning and localization and the most common is use of GPS which is used to localized a patient and thus contribute to their privacy issues and security threats related to the cure of disease while getting treatment from the internet of things. A radio electronic device is concerned with new field of communication and it is operating with a frequency of 13.57 MHz which can be used for the communication of different devices when range with a limitation of range of 20cms. There has been seen its installation fir connecting devices with mobile phones to get efficient approach.

Aims and significance of Medical internet of things and big data in healthcare

        As people are moving towards technology, a lot of private information security issues arise while using technology in medicine field and cure of patient with websites. This research proposal aims to identify the opportunities and the challenges related to health care and IoT with various issues and recommendations to limit these issues. This research will also explain about the ethical and legal issues with health related internet of things. This proposal will also able to provide the standards for establishment. With the adaptation of this research proposal, security issues of patients while curing online will resolve in authentic way.

        As a lot of work has been done in relation of internet of thing with medical health care which clearly mention that still flexible devices are not offered from market which can authentically protect the information that is submitted online and still no specific protection is available to clients that are from all over the world. This proposal will give some recommendations or parameters that can be adopted by market to provide flexible devices.

Research plan of Medical internet of things and big data in healthcare

Ethical issues of Medical internet of things and big data in healthcare

        Issues can be considered from a lot of perspective that are highlighting related issues with different concerns. These are considered as one of the main issue and a lot of work is needed to overcome these issues as it can provoke other social and legal issues and put a patient on edge. These issues are mentioned as:

Personal privacy of Medical internet of things and big data in healthcare

        As health related IoT is operate in private as well as public environment. In this way, third party can analyze the behavior and health data about the patient. Opportunity for data sharing is created in this way. This will improve health care with increasing monitoring and personalized interventions but at the same time it is creating opportunity for distorting expectations regarding privacy (Pasluosta, Gassner, Winkler, & Klucken, 2015). As H-IoT is using in chronic illness management, on the basis of requirement of technology, violation of privacy can be justified in terms of safety concerns.

        It is multifaceted right so its violation can lead to both social and physical aspects. These internet access are creating a window to personal information and client location is also accessed that can be used by third party against client. Privacy is linked to cameras (Leone, Diraco, & Siciliano, 2011). Monitoring technologies expressed patients in feeling of being watched and create psychological disturbance. These privacy issues can be dismissed if violate the presence of monitoring devices. There must be justifications of these safety issues when violated.

Obtrusiveness and stigma of Medical internet of things and big data in healthcare

        User acceptance is affected by perceived visibility of H-IoT devices in its long term use (De Bleser, Vincke, Ruppar, & Vanhaecke, 2011). Obtrusiveness is evaluation by patient that is based on effects linked with technology that are psychologically and physically dominant (Ebersold, 2016). This describes the difference between mental and physical obtrusiveness with a sense leads to system function by disabling the system or by walking around pressure sensors. When H-IoT is used in personal spaces such as residential care or home, its psychological disappearance can cause ethical issues. By using these devices at home can preserve its intrapersonal information but at the same time if the user forget that monitoring is occurring, the validity of consent is undermined.

        The degree at which devices work at noticeable rates both at home and in public referred as visibility. It is not equal to obtrusiveness as it describes their impacts on the user’s perception or other. Highly visible devices can be problematic as monitoring has influence n patient behavior. Some people need independence at home despite of facing safety risks. Design of consumer devices can minimize the safety risks and impacts can be reduced by using minimal visible devices.

Social issues of Medical internet of things and big data in healthcare

        There can be contribution to social isolation of patients who use H-IoT at home for managing their health conditions (Ya-HueiWu & ChristineFassert, 2012). If monitoring by H-IoT is controlled on daily basis than the need to visits medical personals can be reduce. With care, it can alter personal and social interactions instead of supplementing them. Home acre robots can be considered with H-IoT and as a solution, social networking has been proposed. If it sufficiently replaces users and human cares than installation of robots is successful. These various types of interactions will contribute to patient mental health and can bring about some ethical and social problems with nature and scope of medicine and health care practitioners concern.

Challenges of Medical internet of things and big data in healthcare

There are various challenges while using IoT as healthcare and medication center and these challenges are mentioned as:

No way out of Medical internet of things and big data in healthcare

        In health care applications, there is considered as high dependency of patient on IoT network. The patient is totally immersed in it and there is no way out (Bakr & Azer, 2017).

Miniaturization of Medical internet of things and big data in healthcare

        Now devices are coming in Nano-sizes as large computers are diminishing. The technologies are coming in transparent form. Thus maintenance of any kind audit, traffic control or quality control is not possible because of various numbers of devices with very Nano size.

IoT globalization of Medical internet of things and big data in healthcare

        As in medical center, services are provided widely so cannot be localized at one place. To deal with new concepts, it is a challenge for nation because information related to client is gathered and is send to the state that is concerning with providence of health care services.

Business models at next level of Medical internet of things and big data in healthcare

        With the use of IoT, companies will create new models for their business that will take available data in consideration. The services will be provided on remote basis so virtual hospitals will take place and information will be delivered from one site to other increasing the chances of privacy issues.

Vagueness of Medical internet of things and big data in healthcare

        Because of the ease of transformation from one source to another, it is more difficult to differentiate between physical and virtual devices. As it is more difficult, it can arise as a challenge for more benefits provided by health care services in link to connection of devices.

Problem of identification of Medical internet of things and big data in healthcare

    As it is need of a specific network to login because of installation of millions of devices, identification problems will appear with problems related to identity proofs. Identity proof problem can put customer or patient in confusion to get specific benefits from these devices.

Ultra-availability of Medical internet of things and big data in healthcare

        There is 24/7 service by billions of devices that results in exposure to more malicious attacks because of massive data. As a lot of customers visit different links to get their health well, they gave their data by sharing their particular problem which can increase its vulnerability to attacks and exposure by third parties.

Autonomous and unexpected behavior of Medical internet of things and big data in healthcare

        A hybrid network will result because human beings as well will consider as part of IoT with other devices. These interconnected devices can alter the human actions. Its continuous use will lead to complicated behavior that is not easy to understand by users.

Technology issues of Medical internet of things and big data in healthcare

        The state of health care data is the biggest technical barrier in achievement of vision. There is exchange of data between different websites or storing material with the use of standard vocabulary and message formats. Data fragmentation problem will not resolve with this. The data can be truly useful for patient in the only way when information is collected from different means and gathered collectively in systematic way with sending to the particular patient.

Author identification of Medical internet of things and big data in healthcare

        The actual author for delivering data is difficult to know. The concern also arises about using particular data without permission of patient.

Public and private border line of Medical internet of things and big data in healthcare

        For user’s information in the absence of defined boundaries, there is construction of border line between public and private life that is virtually transparent.

Legal issues of Medical internet of things and big data in healthcare

        The next question arises is about legal issues related to IoT health care and this is of great concern because of the transparency of private and public boundaries. The first issue will arise is about the one who is responsible for the internet go down during medication and to whom the patient report. The second issue is about the availability of standards and laws to deal with such kind of situation. What happened if the medical service provider is out of range and not connecting?

Regulations and standards of Medical internet of things and big data in healthcare

        There must be more focus on IoT by government and other regulators. There are a lot of issues and challenges that are necessary to highlight for privacy and data protection (Walker, 2014). There is need to design IoT from start:

Privacy by default and design as there is needed to ensure position of default accessible as least possible for getting personal data.

There must be use of law and proper guidelines for collection of data of patient who visit to get cure. For example analyzes of personal preference, its reliability, health and location.

There is need to implement privacy policies so that information can be secure in better way.

There must be enforcement of laws and polices related to privacy protection by fining up to 5% in case of violation laws and policies.

Recommendations of Medical internet of things and big data in healthcare

        After collecting data from various sites and after integration of data in a unified structure, AI can yield meaningful insights. There must be comparison of particular data and prescription with other for better analyzes (Dimitrov, 2016).

Health-coaches must be trained to effectively implement AI regulations. There is need of customer oriented person who analyze data by gathering and comparing it as this can increase customer power and can help to reduce burden on clinicians.

There must be application of efficient technical systems that will encourage customers to enroll themselves in IoT network. This can advance techniques and electronic data that can reduce the risk of gathering information from third parties and make patients privacy as priority.

Conclusion on Medical internet of things and big data in healthcare

As this paper reviews about the ethical, legal and social issues that are related to IoT in relation to medical care and health promotion. This paper also focuses on challenges and recommendations to improve overall structure. It can lead to dramatic shift by connecting people from different sources with different devices. As the health sector in internet of things is get promoted a lot in that modern world but on other side face a lot of challenges regarding privacy issues majorly. Deployment and design of H-IoT faced many issues in healthcare whereas some of the issues can be mention by choices in process of design. It can maintain traditional relationship between doctor, patients and medical institutions with the professionals that are addressing problems of patients and giving them recommendations. In the delivery of care and management of health, private sectors are increasing that time to provide more health care benefits to customers and meeting their needs.

        Transfer of medical health care responsibilities and its acknowledgement by non-medical professionals remains unclear and precise to know. It is mandatory to describe medical care responsibilities and transfer on non-medical professionals can contribute to the provision of care associated with H-IoT. In there, the ethical issues will majorly impact H-IoT; its potential benefits cannot ignore. By traditionally marginalizing the groups, access to care can be increased due to social status, geographical distances and communicative abilities. Potential benefits and better understanding of patient behavior towards their care and self-responsibility can enhance through technologies. Technology impact is accessed for H-IoT on the delivery of health care and to define efficient norms for better social care and medical services. If there is improvement in autonomy, the patients will show more concern towards H-IoT as it is contributed towards management of health and care of human beings with the quality of services provided for healthcare. There is sense of self-responsibility by patients with unclear things of professional changes and informal care.

References of Medical internet of things and big data in healthcare

Bakr, A. A., & Azer, M. A. (2017). IoT ethics challenges and legal issues. Retrieved 2019, from .researchgate: https://www.researchgate.net/publication/322875867_IoT_ethics_challenges_and_legal_issues

De Bleser, L. D., Vincke, B., Ruppar, T., & Vanhaecke, J. a. (2011). How to test electronic adherence monitoring devices for use in daily life. 489-495.

Dimitrov, D. V. (2016). Medical Internet of Things and Big Data in Healthcare. 156–163.

Ebersold, K. (2016). THE INTERNET OF THINGS: A CAUSE FOR ETHICAL CONCERN. Retrieved 2019, from iacis: http://www.iacis.org/iis/2016/4_iis_2016_145-151.pdf

Leone, Diraco, & Siciliano, a. (2011). Topological and volumetric posture recognition with active vision sensor in AAL Contexts. 110-114.

Lupton, D. (2015). Health promotion in the digital era: a critical commentary. In Health Promotion International (pp. 174-183).

Pasluosta, Gassner, H., Winkler, J., & Klucken, J. a. (2015). An emerging era in the management of Parkinson’s disease: Wearable technologies and the internet of things. IEEE Journal of Biomedical and Health Informatics, 1873-1881.

Schmidt, S., & Verweij, B. (2013). The PHM-ethics methodology. In Interdisciplinary Assessment of Personal Health Monitoring. In Studies in Health Technology and Informatics 187 (pp. 13-20). Amsterdam: IOS Press.

Walker, K. (2014). The legal considerations of the internet of things. Retrieved 2019, from computerweekly: https://www.computerweekly.com/opinion/The-legal-considerations-of-the-internet-of-things

Ya-HueiWu, & ChristineFassert, A.-S. a. (2012). Designing robots for the elderly: Appearance issue and beyond. Archives of Gerontology and Geriatrics, 121-126.

 

 

 


Our Top Online Essay Writers.

Discuss your homework for free! Start chat

Unique Academic Solutions

ONLINE

Unique Academic Solutions

6510 Orders Completed

Academic Master

ONLINE

Academic Master

2877 Orders Completed

Engineering Guru

ONLINE

Engineering Guru

8001 Orders Completed