Big Data Analytics Feasibility in Healthcare Management Report

This report assesses the feasibility of integrating big data analytics into healthcare management, using Ramsay Health Care as a case study. It explores the current usage of big data in the healthcare industry, highlighting associated risks and benefits, and draws on experiences from other organizati...Read More

Running head: FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
Name of the Student
Name of the University
Author Note

1FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
Table of Contents
Introduction......................................................................................................................................2
Organization background.................................................................................................................2
Usage of big data analytics system in the healthcare industry and associated risks........................3
Experience gained from the other organizations by the selected organization................................3
BMC analysis of the Customer Relationships and partnerships......................................................4
Assessment of the values and the value chain.................................................................................5
Scope for the utilization of Big Data Analytics by the organization in the healthcare industry.....5
Required Infrastructure....................................................................................................................6
Recommendations and Conclusion..................................................................................................6
References........................................................................................................................................8

2FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
Introduction
Big data analysis is being greatly used across many different industries to develop better
understanding of the internal and external factors that influence them. Big data refers to the
continuously generated data from a number of sources that concern any field of knowledge or
industry. The data is big enough not to be completely traceable or process able by even the larger
and more effective software. The report is focused toward analyzing the usage of big data
analysis in the healthcare sector. Along with the various other sectors Big Data is utilized in the
health sector to improve the quality and effectiveness of the treatments that are provided to
patients. The data collected is mostly related to consumers, patients, physical information, patient
history and clinical data. The development of big data analytics in the healthcare sector and the
importance of the same towards the future of the sector need to be assessed. The organization
chosen for the report is Ramsey Health Care. The business model that can help to make
integration of Big Data Analytics feasible in the healthcare organizations is evaluated.
Organization background
The organization that is being considered for the report is Ramsey Health Care. It is one
of the most important healthcare organizations in Australia. The company has global operations
and provides high-quality healthcare services and premier patient care. The organization was
established in 1964 in Sydney, Australia. The Ramsey Health Care currently operates around 480
facilities in around 11 countries. The organization presently has around 77,000 staffs. The health
care organization caters to the health service needs of an estimated 8.5 million patients across
three continents (Ramsay Health Care 2020). The organization has worldwide operations.
Hence, it is quite natural for it to deal with a large amount of data. Hence, from a significant
amount of time, big data analysis has been employed by the healthcare group. Big data analytics
have become an important part of the healthcare industry. This has been more due to the
requirement of large amount of data in the healthcare services. Like many of the other
organizations working in the healthcare sector of the country and the world, Ramsey Health Care
has to depend on various types of information to cater to the treatment requirements of the
patients. The organization is focuses towards gathering the right information from the vast array
of information present concerning the health data, historical patient information, treatment data
and other forms of information present. Medical information is considered to be very important

3FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
for providing the right care to the patients. At the same time big data analytics have been used in
the industry and the organization alike to reduce the amount of wastage of valuable medical
resources.
Usage of big data analytics system in the healthcare industry and associated risks
As mentioned above big data analytics has revolutionized the medical profession since its
inception into the industry. Organizations in the medical fields have been using big data
management to develop better standards for the healthcare services that they are providing. The
major healthcare organizations in the world like United health group, Abbot Laboratories and
Medtonic are using big data analytics to create holistic views of patients and physicians,
identification of geographic markets and inform the physicians about relationship management
as well as a range of other important functions (Abbott | Global Healthcare & Research | Abbott
India Limited 2020). However, there are certain risks involved that need to be tackled effectively
by all the organizations that are working in the industry. In big data analysis the tracking and
gathering of data from a wide network of databases become a very difficult task. It is important
to also address the issues related to the scientific authenticity of the data being collected (Ta, Liu
and Nkabinde 2016).
Experience gained from the other organizations by the selected organization
Ramsey Health Care has utilized much of the knowledge that it has been able to gather
from the healthcare industry. Some much important experiences are gathered from the usages of
the big data analytics systems. The organization uses technology that covers wide ranges of
information collection and segregation. It is important to understand that the vastly used Big
Data Analytics Systems that are used in the industry like genomics, transciptomics, epigenomics,
diseasomics and various other systems are also widely utilized by the organizations (Manogaran
et al.2017). Some of the most important functional areas are predicting daily incomes of patients,
usage of electronic health records, enhancement of patient engagement and help in opioid abuse
prevention. It is important to understand that the other organizations of the industry can gather
vast experiences from the systems that are utilized by the organization. The usage of customer
health records is particularly important. In this case the health records of the customers can be
gathered from the available big data to utilize in favor of providing effective treatment (Karim et
al. 2017). At the same time big data systems if utilized effectively can also provide the

4FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
customer’s financial information to evaluate how far the organization can take care of the
financial factors that can financially affect the customers.
BMC analysis of the Customer Relationships and partnerships
A Business Model Canvas can help to understand how the Customer Relationships and
Partnerships of the company can be optimized through a specific project.
Key Partners Key activities Value proposition Customer
relationship
Custom
er
segment
s
IT
organizations,
Healthcare IT
specialization
teams, third-
party Big Data
Analytics
Sytem
developers,
Other major
healthcare
service
providers
Development of
better Customer
relationships,
Development of
more mutually
beneficial
partnerships,
development of
better healthcare
manageement.
Better management of
healthcare services.
Development of
better customer
relationships resulting
in further
development of the
organization
Customer data
analysis,
Customer
medical history
assessment,
cutomer
relationship
manageement
Criticall
y ill
patients,
Patients
with
high
future
health
risk,
patients
with
medium
future
health
risk,
patients
with low
future
health
risks,
patients
Key Resources Channels
Big Data Analytics
Systems, IT teams,
Finances for Big
Data analytics,
Database, human
resources
Direct channels,
healthcare
camps, IT
frameworks

5FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
with
chronic
health
issues
Cost structure Revenue structure
The cost structure would be dependent
on the kind of Big Data Analytics that
is required as per the patients.
The revenue would be derived from the investors,
the medical communities and the premium
healthcare service users.
Assessment of the values and the value chain
The value chains would be the various IT development teams that can help in developing
the resources that are required for the formation of the Big Data Analytics framework. The value
that is most important in this regards is the effectiveness and authenticity of the information that
is gathered. It is important in this regards that the company is effective in developing factors that
can enhance the implementation of Big Data Analytics in the organization (Wang et al. 2018). It
is important that more effective infrastructures are utilized that can eliminate any discrepancies
in the hardware and software integration. In order to enhance the value of big data analytics that
is to be used a strong IT team that is well versed in healthcare informatics need to be utilized.
There needs to be greater reliance on the suppliers of the equipment that would be required. The
IT teams need to work in tandem with the equipment developers.
Scope for the utilization of Big Data Analytics by the organization in the healthcare
industry
There is huge scope for the utilization of Big Data Analytics in the organization. There
are multifaceted possibilities that can be created in terms of customer interactions, customer
service, medical history consultation, effective research of diseases and medical conditions and a
host of other important areas of healthcare. At the same time the organization can utilize Big

6FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
Data Analytics systems to develop its research functions. It can enhance the prospects for the
type of research that takes place within the organization. The organization needs to utilize big
data analytics towards understanding the patients better. It can also help to utilize better and
more effective medical equipment that can improve the value of medical support that is provided
to the patients. Big data is essentially very important in determining the feasibility of healthcare
service provision that is provided by the organization. It can help in better prevention of diseases
and fast detection of any form of medical conditions. Patient history data can be utilized to
systematically improve the kind of support that is provided to the patients. Big data can also be
used to recruit better doctors and staffs in accordance of the major issues that are being faced by
the patients of the organization. ICTs can be used to further enhance the facilities that are
provided.
Required Infrastructure
Infrastructure is much important in order to develop a strong and effective Big Data
Analytics system. It is important that the most important infrastructural aspects are addressed
through the introduction of IT divisions. An IT division is much important to take care of the
complicated data management systems. There needs to be the development of control rooms,
equipment rooms, training facilities and IT management and repair functions teams. It is
important that the infrastructure that is developed is sufficient in handling the requirements for
medical information for the organization. There is a definite need to develop a facility for
medical treatment. It is also much important that a vast array of service equipment are optimized
in accordance of the kind of information that would be used. There needs to be the formation of
larger and more effective buildings.
Recommendations and Conclusion
It is greatly recommended that as one of the premier healthcare organizations of the
country, the Ramsey Health Care organization focuses on building a reputation in the field of big
data analytics in the healthcare sector. In regards to the same it becomes important that the best
possible planning aspects are considered much importantly. The organization needs to provide
further importance to the development of newer of better infrastructures to help in the formation
of a strong and effective big data infrastructure. There is a need to hire IT oriented people and
train them effectively in terms of medical usages of big data management. The organization

7FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
needs to provide much more importance to the utilization of more effective equipment to
facilitate the development of big data analytics.
In conclusion, it can be said that the prospects for big data analytics are quite large for the
organization. At the same time it becomes important that big data usability is enhanced in
accordance of the newer trends that affect the industry. It is important that the organization
utilizes the opportunity present to create an effective environment for developing their scope for
big data analytics.

8FEASIBILITY OF BIG DATA IN HEALTHCARE MANAGEMENT
References
Abbott | Global Healthcare & Research | Abbott India Limited (2020). Available at:
https://www.abbott.co.in/ (Accessed: 9 January 2020).
Groves, P., Kayyali, B., Knott, D. and Kuiken, S.V., 2016. The'big data'revolution in healthcare:
Accelerating value and innovation.
Karim, A., Siddiqa, A., Safdar, Z., Razzaq, M., Gillani, S.A., Tahir, H., Kiran, S., Ahmed, E. and
Imran, M., 2017. Big data management in participatory sensing: Issues, trends and future
directions. Future Generation Computer Systems.
Luo, J., Wu, M., Gopukumar, D. and Zhao, Y., 2016. Big data application in biomedical research
and health care: a literature review. Biomedical informatics insights, 8, pp.BII-S31559.
Manogaran, G., Thota, C., Lopez, D., Vijayakumar, V., Abbas, K.M. and Sundarsekar, R., 2017.
Big data knowledge system in healthcare. In Internet of things and big data technologies for next
generation healthcare (pp. 133-157). Springer, Cham.
Mehta, N. and Pandit, A., 2018. Concurrence of big data analytics and healthcare: A systematic
review. International journal of medical informatics, 114, pp.57-65.
Ramsay Health Care (2020). Available at: https://www.ramsayhealth.com/ (Accessed: 9
January 2020).
Senthilkumar, S.A., Rai, B.K., Meshram, A.A., Gunasekaran, A. and Chandrakumarmangalam,
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real-time analytics. In 2016 IEEE International Conference on Cloud Computing and Big Data
Analysis (ICCCBDA) (pp. 37-42). IEEE.
Wang, Y., Kung, L., Wang, W.Y.C. and Cegielski, C.G., 2018. An integrated big data analytics-
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