Discuss about the Project Topic for Big Data in Healthcare.
Big data is concerned as one of the intelligent and effective solutions that are provided by the technical domain of applications. Big data is nothing but the term that describes a large volume of data that are structured and unstructured and used for organizational as well as business purposes within various organizations (Kambatla et al., 2014). In contrast with these facts, these huge amounts of data are not effectively manageable with respect to various critical aspects involved within the system architecture of any organization. In addition to this, there are various other domains of applications as well as technological development that need big data applications to be incorporated within it. The day to day basis activities that are incorporated within any system architecture or any organizational structure of any concerned organizations are generally managed with the help of various technological supports.
In contrast with these definitions of big data and its applications, there various operational sectors are getting benefited with its benefits. In contrast with these facts, the applications of huge amount of data are concerned with mainly the development perspective of technical advancements as well as solutions involved within technical perspectives (Patil & Seshadri, 2014). In contrast with these developed applications and benefits provided by big data there are various critical disadvantages as well as negative impacts are also incorporated within organizations. This research paper is introducing critical evaluation of these aspects within this research paper.
The main problem associated with this research is given as follows: “There are various benefits provided by big data to the healthcare industry, in spite of this big data provide various negative impacts on healthcare industry.” Based on this problem statement this research is being conducted.
The healthcare sector has various implications of big data and its applications. This research is conducted in order to analyze the impact, benefits and application of big data within healthcare industry. There are various functional measures and important aspects that are incorporated within healthcare industry for managing developmental perspective within healthcare organizations as well as healthcare industries. Therefore, for managing these aspects this research is being conducted.
This research is conducted based on impact and benefits of big data within healthcare industry with respect to various significant perspectives as well as concepts involved within the system architecture of organizations. The context of the problem selected within this research proposal is appropriate for managing solutions as well as it is important for managing the solutions and supports the technological development perspectives.
This research is proposing about the benefits and challenges introduced by the big data applications within the healthcare sector. In contrast with these facts, there are various sensitive cases of big data applications and solutions that are incorporated within healthcare industry for managing their system architecture and organizational benefits with respect to changing trends as well as solutions. In addition to this, there are different projects as well as programs are going to be developed or has been developed with respect to various critical solutions and technically advanced options available within organizations (Kambatla et al., 2014). Therefore, Big Data applications and use of analytics has introduced different benefits as well as challenges within the domain of technical innovations within healthcare industry. In contrast with these facts, some of the concerned benefits and challenges of big data within healthcare industry are being elaborated within this part of the research proposal.
There are various benefits of big data available within the healthcare industry with respect to various other possible solutions and technological development within healthcare industry. In contrast with these facts, there are being elaborated within this part of the research proposal. These are given as follows:
Optimization of facility and performance: Big data applications provides facility of managing the performance of healthcare organizations with respect to technical development as well as helps in providing effective benefits to the healthcare organizations and their members as well as clients (Jee & Kim, 2013).
Reduction in energy cost: Reduction in energy cost is another benefit that is provided by the big data applications within healthcare industry. Therefore, there are various areas of operations that need to be managed with respect to various cost structures within healthcare industry (Groves et al., 2016). This aspect needs to be managed with respect to these structures. Big data applications not only reduce these cost but also provides effective solutions to the organizations.
Increasing access to information: Increasing the access to the information is another benefit to the healthcare industry (Chawla & Davis, 2013). In contrast with these facts, the healthcare industry get access to the internet activities and provides effective solutions to the organizational structure.
Management with greater agility: Management with greater agility is an option that provides agility of processing and operations involved within the system architecture of healthcare industry (Baro et al., 2015). All of these aspects are managed with the help agility provided by big data solutions within organizations as well as to various project members.
Productive maintaining equipment: Productivity of equipments are also developed and managed with the help of big data applications within organizations as well as various project measures (Zhang et al., 2015). In contrast with these facts, these productive solutions ensures the system architecture of healthcare to be managed with respect to various critical measures.
There are various challenges of big data involved within the healthcare industry. In contrast with these facts, this challenge harms the system architecture of healthcare industry. Therefore, these challenges are being elaborated as follows:
Quality of Data: Quality of data is a great problem raised from the big data applications and solutions provided by this particular data management solution to the healthcare industry (Sun & Reddy, 2013). Therefore, this aspects needs to be considered as one of the impactful aspect to the healthcare industry.
Data Compliances and Policies: There are various standards and policies resides within the system architecture of database management within healthcare industry that offers effective data management policies, but these policies are generally violated with respect to big data applications and solutions within healthcare industry.
Lack of skilled people: There are no sufficient people working within the healthcare industry those have effective skills and knowledge about big data and its applications, therefore this is an effective challenge of big data imposed within healthcare industry (Raghupathi & Raghupathi, 2014).
Identity Theft: There are various cases of data theft, more specifically the identity theft of customers and patients over the healthcare industry (Patil & Seshadri, 2014). Therefore, these aspects are incorporated within the healthcare industry with respect to the big data applications and solutions provided within the healthcare industry.
Security breaches: Security breach is considered as one of the impactful negative impacts of big data involved within the healthcare industry (Lu et al., 2014). There are various cases that is harming customer information as well as it is providing opportunities to increase breaches to data.
Enterprise Applications: Enterprise applications need to be installed with respect to the organizational needs and demands (Kambatla et al., 2014). In contrast with these facts, the cloud based big data services are demanding for hybrid cloud services for managing system effectiveness that is becoming tough to be supplied to the organizations sometimes.
Following are the solutions for mitigating the challenges of big data involved within healthcare industry:
Implementation of skill classes: Skill development perspective is one solution to the challenges imposed by big data and its solutions involved within the system architecture of healthcare industry (Jee & Kim, 2013).
Regulations to security issues: Regulations to the security measures conducted within healthcare organizations will prevent the data theft and other possible measures incorporated within healthcare industry (Groves et al., 2016).
Implementation of Big Data Analytics: Big data analytics is one of the best solutions that provides effective security measures as well as effective support in developing systematic organizational structure within healthcare industry (Chawla & Davis, 2013). Therefore, this aspect can be considered as one solution to big data challenges within healthcare industry.
Special care to data monitoring facilities: Big data involves huge amount of databases that are used within healthcare industry (Baro et al., 2015). In contrast with these facts, the healthcare industry can easily protect their data and information with respect to the monitoring policies incorporated within healthcare industry.
Research methodology is nothing but the process of research work is conducted. In contrast with these facts, this concerned research is conducted with respect to positivism approach and qualitative as well as quantitative methodology as primary and secondary both resources are being used within this research process. All of these concepts of research methodology provide an effective measure that helps the research to be conducted with respect to various other concepts and facts. The research can be easily conducted with the help of these methodologies with respect to evolving facts within this research.
The research is conducted by following some significant steps. These are given as follows: background analysis of the research topic, analysis of the problems statement, identification of challenges and it’s appropriate solutions, collection of data in accordance with research topic, data analysis and identification of results from the research.
|
Task Name |
Duration |
Start |
Finish |
|
Big Data in Healthcare |
28 days |
18-04-2017 |
25-05-2017 |
|
Project initiation |
7 days |
18-04-2017 |
26-04-2017 |
|
Background analysis of the research |
2 days |
18-04-2017 |
19-04-2017 |
|
Identification of the purpose of the research |
3 days |
20-04-2017 |
24-04-2017 |
|
Identification of impacts of big data |
2 days |
25-04-2017 |
26-04-2017 |
|
Project planning |
7 days |
27-04-2017 |
05-05-2017 |
|
Planning for identification of the negative impacts of big data applications |
5 days |
27-04-2017 |
03-05-2017 |
|
Planning for managing issues involved within research |
2 days |
04-05-2017 |
05-05-2017 |
|
Project Execution |
9 days |
08-05-2017 |
18-05-2017 |
|
Finding of solutions to issues of big data in healthcare |
4 days |
08-05-2017 |
11-05-2017 |
|
Identification of challenges of big data within healthcare |
3 days |
12-05-2017 |
16-05-2017 |
|
Analysis of the impacts of big data challenges in healthcare |
2 days |
17-05-2017 |
18-05-2017 |
|
Project Closure |
5 days |
19-05-2017 |
25-05-2017 |
|
Preparation of project charter |
2 days |
19-05-2017 |
22-05-2017 |
|
Preparation of project closure report |
3 days |
23-05-2017 |
25-05-2017 |
|
End of Project |
0 days |
25-05-2017 |
25-05-2017 |
References
Baro, E., Degoul, S., Beuscart, R., & Chazard, E. (2015). Toward a literature-driven definition of big data in healthcare. BioMed research international, 2015.
Chawla, N. V., & Davis, D. A. (2013). Bringing big data to personalized healthcare: a patient-centered framework. Journal of general internal medicine, 28(3), 660-665.
Groves, P., Kayyali, B., Knott, D., & Kuiken, S. V. (2016). The’big data’revolution in healthcare: Accelerating value and innovation.
Jee, K., & Kim, G. H. (2013). Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthcare informatics research, 19(2), 79-85.
Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel and Distributed Computing, 74(7), 2561-2573.
Lu, R., Zhu, H., Liu, X., Liu, J. K., & Shao, J. (2014). Toward efficient and privacy-preserving computing in big data era. IEEE Network, 28(4), 46-50.
Patil, H. K., & Seshadri, R. (2014, June). Big data security and privacy issues in healthcare. In Big Data (BigData Congress), 2014 IEEE International Congress on (pp. 762-765). IEEE.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health Information Science and Systems, 2(1), 3.
Sun, J., & Reddy, C. K. (2013, August). Big data analytics for healthcare. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1525-1525). ACM.
Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2015). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal.
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