Big Data and Personalized Healthcare

This assignment delves into the application of big data in the field of personalized healthcare. It involves conducting a case study to analyze how big data is being utilized to improve patient care and advance healthcare research. The focus is on understanding the potential benefits, challenges, and ethical considerations associated with leveraging big data for personalized medicine.

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
BUSINESS
Higher-Education Faculty
Assignment Cover Sheet
Subject
Subject Code and Group ____________ Group1□ Group 2 □ Group3 □ Group 4 □
Lecturer
Assignment Title
Due date
Submission Date
Contact details
Student’s name
Telephone No
Student Email:
STUDENT/S PLEASE NOTE: I/We certify that:
1. This assignment is my/our work. I/we acknowledged and disclosed fully any assistance received in its
preparation and cited any sources from which I/we used data, ideas, words, either quoted directly or
paraphrased.
2. This assignment was prepared by me/us specifically and only for this subject.
3. This assignment has successfully been submitted to the FINAL CHECK via SafeAssign/Blackboard and
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
the SafeAssign report is attached to this assignment.
►Student name: __________________ Signature: ____________________ 4. This assignment is identical
with the work submitted via SafeAssign/Blackboard.
Student name/s Student number Signature
Date: Staff Name Signature
Subject:
Subject Code:
Student name/s Student number Signature
Melbourne - 185 Spring Street, Melbourne Australia 3000, Telephone: [phone], Facsimile: +61 3
9662 2083 Sydney - Level 6, 91 York Street, Sydney Australia 2000, Telephone: + 61 2 9299 1400,
Facsimile: [phone]
Holmes Commercial Colleges (Melbourne) Ltd ABN 50 005 085 585 Email: [e-mail]
Website: www.holmes.edu.au
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
RESEARCH
PROJECT
ASSIGNMENT #...
TITLE: MBA ASSIGNMENT
SUBMITTED TO
……………………………
MASTER IN ………………………………………….
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
Contents
1.0
Introduction...............................................................................................................................3
2.0 Project Objective...............................................................................................................4
3.0 Project scope.......................................................................................................................5
4.0 Literature review..................................................................................................................6
5.0 Research Questions/Hypothesis
5.1 - Primary Question (only one question)
5.2 - Secondary Questions (1, 2 ….)
6.0 Research Design and Methodology
- 6.1 Qualitative
- 6.2 Quantitative
7.0 Research Limitations
8.0 Time Schedule (Research plan)
9.0 Conclusion.........................................................................................................................13
References................................................................................................................................14
Appendix
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
Introduction.
The purpose of this research project is to critically analyse and evaluate opportunities and challenges of
using big data in business innovation. In particular the research narrow down to healthcare. There are
various policies, procedures as well as practices in health care. These aspects are not similar in their
considerations. There is a huge tremendous difference across all corners of the globe. Nevertheless, several
objectives do not change irrespective of the systems in health care unit (Bates, Saria, Ohno-Machado, Shah
& Escobar 2014). These objectives include; upgrading patient experience, improving population of health
as well as diminishing health care per capita. However, health care business is pressurized for containing
expenses and promoting results of member. Big data offer very important asset in this sector. Health care
aim to offer merits from various main developments in the field of data management and information
technology. Data collection via electronic medical records as well as data sharing via information exchange
system together with improvement of data analysis and data management need data warehouses and tools
for data analysis. Moreover, utility of big data has number of merits as compared to health care system.
Typically, utility of big data assist in finding as well as targeting the correct cohort of people. Again,
proper intervention delivery process at the most appropriate point in time can be befitted by utilizing big
data in business innovation and for this case in health care organization. Utility of big data helps in
programs adjustments and loop closing in management of data. It also assist in keeping electronic health
records safe for the patients and other stakeholders (Baro, Degoul, Beuscart & Chazard 2015). On the other
hand, there are various challenges and demerits in using big data. To start with, decision making on data
generated is a challenge, data privacy and consideration of ethical issues faced by end users while in the
process of utilizing this application. Therefore, it is quite significant to take proper procedures which
would be useful in overcoming various issues associated to utilizing big data applications in business
innovation and particularly in health care system.
Project Objective.
The objective of this project need to be spelt out clearly so as to facilitate the research process. This
involves determining opportunities and challenges of applying big data in health care organizations. As
health care organizations face various issues for big data applications as well as their implementation in
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
daily operations, it is important to conduct a research on determining these issues as well as provision of
recommendations so as to offer possible solutions so as to overcome these issues. In this particular outline,
descriptive research design is very significant and we should employ it so as to determine a well initiated
solution (Cerjan 2013). Moreover, positivism research philosophy is to be employed in the research project
so as to assist in determining accurate results. Deductive research approach is also very important for the
research project. This is the main reason as to why it is should be employed in the current research.
This particular project would be useful in provision of solutions in so as to overcome these issues as well
as challenges faced by the health care organizations for management of big volumes of data. This research
project aims at finding out all factors relevant and responsible for management of big volumes of data in
health care organizations (Chawla & Davis 2013). However, the main objective of this research project is
to determine the loop holes and methods that can be applied to diminish factors that can result to effective
and efficient operations of healthcare organizations. Therefore, the current research project can be used to
strategize various options for healthcare organization and other ones in the business innovation systems. In
addition, the project is very significant to assist managers and other staffs of the healthcare organizations
so as to take effective and efficient measures in management of big volumes of data in the healthcare
organizations. Still, the research project will open opportunities for further project research on related field.
Project Scope.
Big data management and implementation of associated technologies have brought numerous merits and
opportunities in health care organizations. Nevertheless, the merits of big data management and
applications are substantial and factual in nature. It therefore tend to remain a plethora of challenges that
are need to address these issues. The main purpose of doing this is to fully realize and understand potential
underlying big data management and implementation. Many of demerits are function of features of big
data by the existing mechanisms and underlying models together with some demerits of present or rather
the current data processing system in healthcare organizations. There are several extant study research that
cover demerits in big data application in health care organizations. The current situation, healthcare
organizations are facing various issues so as to be able to manage big data application based on decision
making and judgments together with other factors (Davenport 2014). Hence, viable and ultimate solution is
in need for the healthcare organization so as to eliminate these issues that can be built by employing proper
mechanisms and strategies for healthcare organizations.
Literature Review
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
This particular part of this research project aims on various factors of research project concerning various
aspects of management and implementation of big data volumes in this research project. Thus, in the
process of performing this project, there have been prior attempts to concentrate on various theories and
statistical models that have a perfect positive correlation with the present project (Fisher, Bishop, Fawcett
& Magassa 2014). The project research thesis has been asserted as “evaluation of opportunities and
challenges of using big data volumes in Healthcare organizations. The core motto for this project is to
offer better impacts for the project. Therefore, appropriate comprehension of the project and enhancement
of knowledge and skills would be helpful in having effective and efficient termination of the project via
construction of accurate results for the project (Gioia, Corley & Hamilton 2013). In addition, analysis of
critical aspects would be important so as to reconsider models and theories with an objective of processing
reflections of the literature gap. Still, there have been prior attempts to investigate appropriate loopholes
and gaps within these theories and models which are applied and need more extensive research together
with the purpose of achieving better results as per desired and anticipated results in healthcare organization
application of big data.
Gaps opportunities of managing big data in healthcare organizations.
Management of big data application systems have been producing hype health care organizations. There
are a several scenario by which healthcare is appropriately suited for big data management and
implementation solutions. Several research project are aiming on the healthcare organizations on the
experiment of applying of big data volumes in management and implementation in daily operations of
activities in health care units (GOK & GOK 2016). Therefore, it emerge a perfect issue to struggle with
various complexities of big data volumes in health care organizations. In the current project, addressing
these complexities have been asserted so as to simplify big data. In 2003, the 8 vs. were coined to offer
clear definition of big data volume, variety and velocity. The data analysts are required on simplistic as
well as aspects to do for variability together with C for complexity and veracity.
Under health care organization system, the huge volumes of big data have to be managed. EMRs have
capabilities of collecting large quantities of data. Thus, a lot of data is typically collected from and for
recreational purposes. On the other hand, velocity and volumes of data in health care organization systems
require to be managed with appropriate mechanisms and measures (Harland 2014). Therefore, a range of
majority of collection data require to be managed accurately and appropriately in the health care
organization system. Even if the data requires to be estimated down of the track as number of applied cases
increase, the various important application cases of the data need to be determined using reliable measures.
There is a range in data for many of the systems such as in health care unit. Authentication of privacy and
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
security of patient data need to be managed in health care organization. Health care organizations have to
take employ appropriate procedures so as to enhance proper security of big data (Hashem, Yaqoob, Anuar,
Mokhtar, Gani & Khan 2015). Typically, it flows on the open source technology. The alternative of
choosing the research are needed to be implemented in health care organization. Hence, appropriate
strategies and mechanisms would be very significant so as to achieve competitive advantages for health
care organization as well as filling gaps available in management of big data.
Hypothesis.
Statistically, a hypothesis refers to claims that have not been proved. It can either be a null hypothesis or
alternative hypothesis.
Null hypothesis. Statistically this is denoted as H0.
H0: The volume of big data has impact on health care organization.
Due to existence of huge amounts of data concerning a particular patient and services offered by health
care organization, there is a need to process this data (Sagiroglu & Sinanc 2013). This has a significant
implication on health care system. Therefore, it is needed to aim on the matter and apply system which will
reduce the issue.
Alternative hypothesis. Statistically it is denoted as H1.
H1: The volume of big data does not have impact on health care organization.
Under health care organization, it is very significant to process huge amount of data (Trainor & Graue
2014). Therefore, health care organization employ proper strategies to manage the big volume of data. It
results to no implication on the health care organizations daily operations.
Research Questions/Hypothesis.
Research questions.
Primary question.
 What are the aspects affect management of volume of big data in health care organization?
Secondary questions.
 What are the effects of those aspects on health care?
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
 What are the loop holes for management of big data in health care organizations?
 What are the recommendations and solutions for overcoming the issues in health care organization?
Hypothesis have been tested earlier in the context.
Research Design and Methodology.
Research methodology.
It is very crucial to choose proper methods of research in a project. Typically, there are three aspects of
research philosophies. They include realism, interpretivism and positivism. Quantifiable observations are
employed in positivism philosophy. Hence, analysis of statistical aspects occur under positivism
philosophy. Moreover, positivism philosophy is based on scientific test. In this research project, positivism
philosophy have to be applied in the project for applying factual knowledge and also lead for hypothesis
testing and research questions (Trainor & Graue 2014). Therefore, it is significant to realize the purpose of
personnel for management of big data in the research project as per the expectation of health care
organization. However, both interpretivism as well as realism philosophy are ignored in the present
research project. The method of data collection used was survey and observations. The independent
variables were the data, workers in health care organizations and patients under treatment.
Sample.
Samples for the survey and questionnaire strategies are basically collected from population according to
particular criteria. For instance in the current project research, personnel involved in management of
volume of big data in the in health care organization are chosen for the research as sample (Vidu, Schubert,
Muñoz & Duque 2014). 200 workers are approached to cite their take on aspects faced by them in the
process of management of volume of big data in the research project. Out of them 85 workers in health
care organization agreed to offer their take on the topic of the project research.
Research design.
Typically, there are three kinds of research designs such as descriptive, exploratory and explanatory.
Exploratory research design is based on description on causes of particular phenomena as well as
prediction of future occurrence of phenomena. Under exploratory research, the main concern is problem
formation, hypothesis together with clarification of several concepts in health care organization.
Descriptive design is based on alternatives of explanatory and explanatory design. It majorly emphasizes
on describing features of the sample and data collected (Wamba, Akter, Edwards, Chopin & Gnanzou
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
2015). In this project, descriptive research design is applied so as to clarify research topic. In addition, so
as to realize the challenges faced by workers in health care organization in management of volume of big
data, descriptive research design is preferred .It is applied to realize challenges faced by employees during
management of big data in health care organization. Therefore, descriptive design is selected in this project
while explanatory and exploratory designs are discarded.
Research Limitations
The major limitation in the health care organizations is management of data structure, data security,
standardization of data, data storage as well as process used to transfer data. Moreover, data governance is
also a limitation in the research under health care organizations. Again, this kind of research require access
to private data in health care organization (Zhang, Qiu, Tsai, Hassan & Alamri 2015). This kind of
information may include special records of patients under consideration. Health care ethics do not allow
provision of such data to the public. This limited further research in the topic under consideration.
Time Schedule (Research plan)
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
Conclusion
In, conclusion, it is important to note that there are many gaps and opportunities as well as challenges
faced in using big data in health care organizations. The mechanisms and strategies asserted in the context
need to be applied in provision of appropriate and accurate results and solutions. It is good to note that
utility of big data helps in programs adjustments and loop closing in management of data. It also assist in
keeping electronic health records safe for the patients and other stakeholders (Zaslavsky, Perera &
Georgakopoulos 2013). Health care aim to offer merits from various main developments in the field of data
management and information technology. Data collection via electronic medical records as well as data
sharing via information exchange system together with improvement of data analysis and data management
need data warehouses and tools for data analysis. Moreover, utility of big data has number of merits as
compared to health care system. Typically, utility of big data assist in finding as well as targeting the
correct cohort of people in health care organization. In summary, this topic has a greater application in the
world of research today and in future.
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
Reference
Baro, E., Degoul, S., Beuscart, R., & Chazard, E 2015, “Toward a literature-driven definition of big data in
healthcare”. BioMed research international, 2015.
Bates, DW, Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G 2014, “Big data in health care: using
analytics to identify and manage high-risk and high-cost patients”, Health Affairs, 33(7), 1123-1131.
Cerjan, C 2013, Numerical grid methods and their application to Schrödinger’s equation (Vol. 412),
Springer Science & Business Media.
Chawla, NV, & Davis, DA 2013, “Bringing big data to personalized healthcare: a patient-centred
framework”. Journal of general internal medicine, 28(3), 660-665.
Davenport, T 2014, Big data at work: dispelling the myths, uncovering the opportunities, Harvard Business
review Press.
Fisher, KE, Bishop, AP., Fawcett, P., & Magassa, L 2014, “InfoMe: a field-design methodology for
research on ethnic minority youth as information mediaries”. In New directions in children’s and
adolescents’ information behaviour research (pp. 135-156). Emerald Group Publishing Limited.
Gioia, DA., Corley, KG., & Hamilton, AL 2013. “Seeking qualitative rigor in inductive research: Notes on
the Gioia methodology”. Organizational Research Methods, 16(1), 15-31.
GOK, T., & GOK, O 2016, “Methodology of Research”, Asia-Pacific Forum on Science Learning and
Teaching (Vol. 17, No. 1).
Harland, T 2014, “Learning about case study methodology to research higher education”, Higher
Education Research & Development, 33(6), 1113-1122.
Hashem, IAT, Yaqoob, I., Anuar, NB., Mokhtar, S., Gani, A., & Khan, SU 2015, “The rise of “big data”
on cloud computing: Review and open research issues”, Information Systems, 47, 98-115.
Sagiroglu, S., & Sinanc, D 2013, “Big data: A review”. In Collaboration Technologies and Systems (CTS),
2013 International Conference on (pp. 42-47). IEEE.
Trainor, AA, & Graue, E 2014, “Evaluating rigor in qualitative methodology and research dissemination”,
Remedial and Special Education, 35(5), 267-274.
Your name ASSIGNMENT … Your student code…………

BIG DATA MANAGEMENT IN HEALTH CARE ORGANIZATION
1. Vidu, A., Schubert, T., Muñoz, B., & Duque, E 2014, “What students say about gender violence
within universities: Rising voices from the communicative methodology of research”, Qualitative
Inquiry, 20(7), 883-888.
2. Wamba, SF., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D 2015, “How ‘big data’can make
big impact: Findings from a systematic review and a longitudinal case study”, International
Journal of Production Economics, 165, 234-246.
3. Zaslavsky, A., Perera, C., & Georgakopoulos, D 2013, “Sensing as a service and big data”, ArXiv
preprint arXiv: 1301.0159.
4. Zhang, Y., Qiu, M., Tsai, CW., Hassan, MM, & Alamri, A 2015, “Health-CPS: Healthcare cyber-
physical system assisted by cloud and big data”, IEEE Systems Journal.
Your name ASSIGNMENT … Your student code…………