Project Topic : Big Data In Healthcare


Discuss the Project Topic for Big Data in Healthcare.


Big data refers to one of many intelligent and effective solutions offered by the technical domains of applications.

Big data is a term that refers to large amounts of data that can be structured or unstructured, and that can be used in various organisations for business and organizational purposes (Kambatla et. al. 2014).

These large amounts of data, however, are difficult to manage due to the critical aspects of any organization’s system architecture.

Not only that, but there are other areas of technological development and applications that also require big data applications.

Technology can be used to manage day-to day activities in any system architecture, or any organizational structure, of any organization.

Contrary to these definitions, many operational sectors are reaping the benefits of big data.

Contrary to these facts, applications of big data are mainly concerned with the development perspective and solutions involved within technical perspectives. (Patil& Seshadri (2014)).

However, big data has many negative and critical consequences.

This research paper examines these aspects.

This research is based on the following problem statement.

Significance Of The Study

The impact of big data and its application on the healthcare sector is numerous.

This research will analyze the potential benefits and applications of big data in healthcare.

For managing the healthcare industry’s developmental perspective, there are many important functional measures that can be used.

These aspects are being researched.

This research examines the potential impact and benefits of big-data in healthcare. It considers various important perspectives and concepts as they relate to the organization’s system architecture.

This research proposal is appropriate for the management of solutions, as well as for the management of solutions and technological development perspectives.

To learn more about the benefits of big-data over the healthcare industry

To understand the implications of big data in healthcare organizations

To find solutions to the challenges presented by big data within the healthcare industry

Materials and Methods

This research examines the potential benefits and challenges of big data applications in the healthcare sector.

Contrary to these facts, big data solutions and applications are used in healthcare industry to manage system architectures and organization benefits.

This is not all. There are also many projects and programs that are being developed or have been developed in relation to the critical solutions and technologically advanced options within organizations (Kambatla, et al. 2014).

Big Data applications, and the use thereof of analytics, have provided many advantages as well as challenges in the field of technical innovations within the healthcare industry.

Contrary to these facts, this section of the research proposal outlines some of those benefits and challenges that big data can bring to the healthcare industry.

Big Data and the Healthcare Industry: The Benefits

Big data can be used to improve healthcare and provide many other benefits.

Contrary to these facts, the following are some of the findings from this research proposal.

These are as follows:

Performance and facility optimization: Big data applications provide the ability to manage the performance and technical development of healthcare organizations as well as providing benefits to clients and members of the organizations (Jee & Kim 2013).

Energy cost reduction: Big data applications in the healthcare industry also provide energy cost savings.

The healthcare industry has many cost structures that require management (Groves, et al. 2016, 2016).

These cost structures must be taken into consideration.

Big data applications can not only lower these costs but also provide effective solutions for organizations.

Access to information: Another benefit for the healthcare industry is the increase in information access (Chawla, Davis, 2013,).

These facts are in contrast to what the healthcare industry has to offer. They have access to the internet, which provides efficient solutions for the organizational structure.

Management with greater agility. Management with greater flexibility is an option that allows for greater processing and operations within the healthcare industry system architecture (Baro, et al. 2015).

All these aspects can be managed by the big data solutions that are available within organizations and to other project members.

Productive maintaining equipment: Organizations and project managers can use big data applications to improve their productivity.

Contrary to these facts, these productive solutions allow the healthcare system architecture to be managed with regard to many critical measures.

Healthcare Industry Big Data Challenges

The healthcare industry is facing many big data challenges.

Contrary to these facts, it also poses a challenge to the healthcare industry’s system architecture.

These are the challenges that need to be addressed:

Quality of Data. This problem is raised by big data solutions and the data management solutions that are available to the healthcare sector (Sun & Reddy 2013, 2013).

This is a crucial aspect of the healthcare industry.

Data Compliances and Policies

Manpower shortage: Healthcare industry lacks skilled personnel with knowledge and skills about big data.

Identity Theft – There are many cases of data theft, specifically identity theft of patients or customers within the healthcare sector (Patil & Seshadri (2014)).

These issues are addressed in the healthcare sector with regard to big data solutions and solutions within the industry.

Security breaches: Security breaches are a result of big data being used in the healthcare sector (Lu et. al. 2014).

There are many cases where customer information is being compromised.

Enterprise Applications: Enterprise software must be installed according to organizational requirements and needs (Kambatla and co., 2014).

Contrary to these facts, hybrid cloud services are required for cloud-based bigdata services. They can be used to improve system efficiency and manage costs.

Solutions to Manage Big Data in Healthcare Organizations

These are the solutions that can be used to mitigate the risks of big data within the healthcare industry.

Implementation skill classes: The Skill Development Perspective is one solution for the big data challenges and the associated solutions within the system architecture in the healthcare industry (Jee & Kim 2013).

Security issues regulations: These regulations will regulate security measures within healthcare organizations to prevent data theft and other measures that could be incorporated into the healthcare industry (Groves, et al. 2016,).

Implementation Big Data Analytics: Big Data analytics is one of best solutions. It provides security measures and supports the creation of a systemized organizational structure within the healthcare industry (Chawla & Davis 2013).

This can be considered a solution to the big data problems within the healthcare industry.

Special care given to data monitoring services: Big data is a large number of databases that are used within the healthcare industry (Baro, et al. 2015).

Contrary to these facts, healthcare can easily protect its data and information due to the monitoring procedures that are incorporated into the healthcare industry.

Research methodology refers to the method of conducting research.

These facts are in contrast to the fact that this research is conducted with positivism approach and qualitative and quantitative methods as primary and second resources.

Each of these research methodologies provide a way to make research more effective with respect other concepts or facts.

These methods allow for easy research with respect to changing facts.

Research is done in a few key steps.

These steps include a background analysis of research topic, an analysis of problem statement, identification or solutions to challenges, collection of data in line with research topic, data analysis, and identification of research results.

Name of the Task




Big Data in Healthcare

28 days

Initiation for a project

7 days

Background analysis

2 days

Identification of the purpose

3 days

Identification of the big data’s impacts

2 days

Plan your project

7 days

Planning to identify the negative consequences of big-data applications

5 days

Planning to manage research issues

2 days

9 days

Problems of big data in healthcare: Finding solutions

4 days

Recognizing the problems of big data in healthcare

3 days

Analysis of the impact of big data in healthcare

2 days

5 days

Preparation of a project charter

2 days

Preparation of a project closure report

3 days

End of Project

0 days

Refer to

A literature-driven definition and application of big data in healthcare.

BioMed research international 2015

A patient-centered framework: how big data can be used to improve personalized healthcare.

Journal of general intern medicine, 28(3). 660-665.

The ‘big data’ revolution in healthcare: Accelerating innovation and value.

Potentiality and use of big data in medicine: how to reform the healthcare system.

Journal of Parallel & Distributed Computing, 74.7, 2561-2573.

In the big data age, privacy-preserving computing is possible.

IEEE Network, 28(4) 46-50

Security and privacy concerns in healthcare related to big data.

In Big Data Congress, 2014 IEEE International Congress on (pp.

Big data analytics for healthcare: Potential and promise.

Health Information Science and Systems. 2(1).

Big data analytics in healthcare.

Proceedings of 19th ACM SIGKDD international Conference on Knowledge discovery, data mining (pp.

Health-CPS: A healthcare cyber-physical system supported by big data and cloud.

IEEE Systems Journal.

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