Analysis of Big Data's Role in Healthcare: A Detailed Report

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This report provides a comprehensive review of the role of Big Data in the healthcare industry. It analyzes several articles focusing on the application of Big Data in various aspects of healthcare, including Big Data management, home healthcare services, intelligent healthcare systems, and the diffusion of innovation. The report explores the challenges and opportunities associated with implementing Big Data technologies, such as runtime performance issues, the need for skilled data scientists, and the potential for improved patient care through advanced data analysis and mobile computing. The report also highlights the importance of cloud computing and the application of visualization techniques in healthcare data analysis. The report includes reviews of articles on Big Data Management for Healthcare Systems, Big Data Analysis of Home Healthcare Services, Intelligent Healthcare systems assisted by Data Analytics and Mobile Computing, and Big Data Analytics in Healthcare: Investigating the Diffusion of Innovation.
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Running head: BIG DATA ROLE IN HEALTH CARE INDUSTRY
BIG DATA ROLE IN HEALTH CARE INDUSTRY
Name of the Student
Name of the University
Author note
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
Table of Contents
Article review for: Big Data Management for Healthcare Systems: Architecture,
Requirements, and Implementation. 2
Article review for: Big Data Analysis of Home Healthcare Services 4
Article review for: Intelligent Healthcare systems assisted by Data Analytics and
Mobile Computing 6
Article review of Big Data Analytics in Healthcare: Investigating the Diffusion of
Innovation 7
References: 9
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
Article review for: Big Data Management for Healthcare Systems:
Architecture, Requirements, and Implementation.
The Big Data Management field has been represented in the article by the authors
describes and evaluates the nature of the recent emerging technology which has impacted
mostly on the commercial organizations in improving the business infrastructure.This helps
in continuing in filling and helping in to progress and develop the business structure as it
helps in focusing in the matters that are likely to be hidden and calculate the real value from
it.
The report focuses on the functioning of the technology that is known as Big Data and
its application in the sector of healthcare initiatives. The healthcare industry has to deal with a
large number of data where they often have faced the problem in accessing and evaluating all
data at the same time and fails in using the set of data for the purpose of curbing the cost
affecting on the healthcare and imposing limitations on the inefficient systems that gains
profit across the world.
The article discusses about the rising amount of data that is used in the healthcare
industry sector. The article tells about the scenario which states that the despite of the
execution of the big data technology and the techniques within the present architectures of the
data management system of the healthcare units, the architectures failed to prove efficiency in
the emergency cases.
According to the authors’ aboudi, Benhlima (2018), the proportion of the elder people
in the society has grown all over the world. This has directly impacted on the services related
to the health care where the main factor is the costing. In such conditions, the primitive
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
methods or the old methods result in poor quality of outcome that may affect the health of
many patients.
The current trends described in the article by the author depicts that the industry has
decided to replace the older systems by introduction of automation within the system.
The current problem in the structure of the article as identified by the author includes
challenges within the run time performance of the data systems that are often faced while
using the extensible Big Data Architecture within the healthcare systems.
The opportunities that lies within the proposed architecture of the article with teh use of
extensible big data architecture within the healthcare industry lies with enhanced analysis of
data with the help of multiple sources so as to gain valuable insights within the healthcare
field while allowing to record patient’s information taking help of multiple number of
sources.
Based on the several problems that might occur within the use Big data in healthcare
industry, run time performance of healthcare services can be improved while implementing
or improving the care process with the help of promoting a more collaborative platform so as
to systematically measure the performance of the services.
Article review for: Big Data Analysis of Home Healthcare Services
The area of the field that is described within the entire article represents the concept
of Big Data Analysis in the Home Healthcare Services. The article represents a brief
background of the field of home healthcare services based in the United States
As per the chosen article concerns, the authors Balan, Otto (2016) aims in providing
new methodology towards the services that are carried out in home healthcare services. The
author of the article through his immense research identified the major areas where medical
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
errors are often faced by the healthcare services leading to death of patients and proposed the
application of Big Data technology within the services of home-based healthcare systems.
Due to increased demand of residence-based healthcare services in the United States
and the stable requirement of delivering quality and improved version of services that are
provided in healthcare services more accuracy of data is required in the concerned field. In
order to provide so, it is significant to recognize the key features that have an effect on the
healthcare services and therefore the article reflects on the application of Big Data Analysis
in the field of Healthcare industry so as to lead to a better outcome in future.
With the growing trend of home-based healthcare services, the use of Big Data
analysis within this field will help in faster deployment and better providence of healthcare
services in future within home. Its future tend will look like having advanced healthcare
services like processing a surgery at home while utilising data that are analysed during the
analysis of the patients record within the system.
The current problems that are identified within the article based on the utilization of
Big Data analysis that is implemented in the home-based healthcare services includes
challenges in the overall methodology of the research while using the R programming to
analyse the data. Challenges are also faced in areas while identifying prototypes for different
pointers of the home-based healthcare services.
Based on the identified field, the suitable research area that can be focused on in
future includes the application of visualisation technique while analysing data within
healthcare services.
One of the identified problems within the entire article that can be improved via
further researches include the techniques by which Deep learning algorithm can be applied
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
effectively within healthcare data analysis technique so as to overcome the challenges related
to R programming during the process. This can be processed while using advanced machine
learning techniques while ensuring high accuracy in the results obtained during data
collection process.
Article review for: Intelligent Healthcare systems assisted by Data
Analytics and Mobile Computing
The authors Xiao Ma et al., (2018), of the article describes the area of Intelligent
healthcare system within his entire research work while assisting its application with the help
of advanced data analytics and mobile computing services. The article depicts a brief on the
importance of the mobile computing and data analytics has created a significant impact on the
healthcare industry that helps the industry to face all kinds pf technical challenges that is
needed to evaluated for realizing it potential.
The author describes the scenario by claiming that it is approaching a Big Data era
that has greatly enhanced the situation in different areas. Mobile phones had already
developed a huge ability to renovate the healthcare sector, particularly with the aid of
wireless communications and mobile computing.
This article provides a detailed system design for the smart system supporting
information and mobile computer analysis. In order to further enhance service quality and
user experience, we should incorporate in our future tasks sophisticated technologies, such as
cognitive computing, in-depth teaching and affective computing.
According to the author Data analysis and mobile computing are essential to many
technical challenges for healthcare systems. Data management, processing and treatment
challenges arise from an explosion of health care data. The challenges mentioned by the
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BIG DATA ROLE IN HEALTH CARE INDUSTRY
authors are the large scale or the volume of data, High throughput, various forms of data and
deep value are the current challenges faced.
The challenges include the implementation of the cloud computing for big data
analytics. The topic can be considered as one of the prime subject for research that can help
improve the data analysis in future for the health care system. Cloud Computing provides the
addition, utilization and liberation of Internet services and frequently supplies Internet
resources that are dynamically scalable and virtualized.
Article review of Big Data Analytics in Healthcare: Investigating the
Diffusion of Innovation
The author Doleze, McLeod (2018) in the article defines the region of the IHS in the
full field of his study job, supporting its use by sophisticated data analysis and the diffusion
of innovation studies. He described the current nature by mentioning Big data analytics in
healthcare centres have been reduced by the lack of information researchers.
The current problem that has been mentioned is the scarcity of the data scientist. It is
problem because it takes years to create sophisticated information analysis abilities and the
workforce with these abilities has a high attrition rate. As a result, organisations should be
diligent in prioritisation or risk becoming less competitive Big Data Science talent.
The purpose of this descriptive study was to define the abilities, instruments and
techniques used for large-scale data analysis in the field of healthcare. The research site in the
south of the US was a big university.
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References:
Diane Dolezel, EdD, RHIA, CHDA, and Alexander McLeod (2018), Big Data Analytics in
Healthcare: Investigating the Diffusion of Innovation
Dolezel D. & Mcleod,. A. (2018). Review Article Intelligent Healthcare Systems Assisted by
Data Analytics and Mobile Computing
Shilpa Balan1 , Joseph Otto (2018), Big Data Analysis of Home Healthcare Services
Xiao Ma,1 ZieWang,1 Sheng Zhou,1 HaoyuWen,1 and Yin Zhang.
(2018). Intelligent Healthcare Systems Assisted by Data Analytics and Mobile
Computing.
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