Applying Mixed Methods and Research to Business

This essay discusses the need for Big Data technology in healthcare, its advantages and drawbacks, and the challenges it poses. It highlights the opportunities and implications of Big Data for patients, researchers, and healthcare providers. The challenges of validating, integrating, and analyzing large volumes of data are also discussed.

Running head: APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Name of the Student
Name of the University
Author Notes:

1APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Introduction
Big data in healthcare is very much essential in predicting the outcome of the disease. It
helps in improving the treatment, preventing premature death and development of diseases1. Big
data also helps in providing information with respect to diseases along with a warning sign for
treatment. It will not only prevent the hospital from any kind of mortality but helps the
government bodies in saving the cost involved for medical treatment. It is considered to be
advantageous for both diagnosis of clinical medicine but also helps in epidemiological research
as big data will move huge amount of given data2. Various bodies like government and non-
government bodies can make use of data for formulation of policies and strategies. With the
passage of the time, there has been an increasing demand by patient with respect to healthcare
option or choices. There has been increasing demand for participation for decision making in
health-care. Big data in healthcare will help the patient by providing them with up-to-date
information3. It is mainly required for assisting them with best decision which can comply for
proper medical treatment.
1 Agarwal, Ritu, and Vasant Dhar. "Big data, data science, and analytics: The opportunity and challenge for IS
research." (2014): 443-448.
2 Andreu-Perez, Javier, Carmen CY Poon, Robert D. Merrifield, Stephen TC Wong, and Guang-Zhong Yang. "Big
data for health." IEEE J Biomed Health Inform 19, no. 4 (2015): 1193-1208.
3 Belle, Ashwin, Raghuram Thiagarajan, S. M. Soroushmehr, Fatemeh Navidi, Daniel A. Beard, and Kayvan
Najarian. "Big data analytics in healthcare." BioMed research international2015 (2015).

2APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
The upcoming pages of following essay, an overview has been given regarding the need
of Big Data technology in healthcare. The last section various advantages and drawbacks of big
data in healthcare will be discussed in brief.
Discussion
There are many sources where big data technology is generated. Sources of social media
like Facebook, Twitter and Instagram can easily generate huge amount of data on daily basis4.
Machine like desktop, laptop and last computer can easily generate huge amount of data. IOT
stands for internet of things are nothing but various kind of device which is needed for
generation of huge amount of data. Different sectors are also benefitted from big data analytics
like financial service industry5. By combining big data with analytics can easily lead to any
organization for understanding the main cause of collapse. Along with this, it helps in analyzing
problems and deficiency in real time.
ICT stands for information and Communication Technology plays a key role in
improving the healthcare for various individual and communities6. It is very much important in
improving the efficiency of the health system and prevention various medical errors. By the
4 Archenaa, J., and EA Mary Anita. "A survey of big data analytics in healthcare and
government." Procedia Computer Science 50 (2015): 408-413.
5 Chen, Min, Shiwen Mao, and Yunhao Liu. "Big data: A survey." Mobile networks and applications 19,
no. 2 (2014): 171-209.
6 Forkan, Abdur Rahim Mohammad, Ibrahim Khalil, Ayman Ibaida, and Zahir Tari. "BDCaM: big data for
context-aware monitoring—a personalized knowledge discovery framework for assisted healthcare." IEEE
transactions on cloud computing 5, no. 4 (2017): 628-641.

3APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
advent of new and efficient mechanism, ICT will help the students in serving the society in much
better way. eHealth can be stated as ICT powered healthcare.
One of the main characteristics of healthcare sector is that it comes up with data richness.
With the help of proper diagnosis and treatment, health care has evolved a lot in last few years7.
There is large number of sources in the given sector from which data can be generated. This
particular data is known as Big Data.
Big Data can be stated as large amount of data when it claims to meet certain number of
criteria like variety, volume and velocity. Big data means that there is large number of data
which can be terabyte or even petabyte. It is considered to be one of the biggest challenges of big
data. It requires certain amount of storage and support which is considered to be complex in
nature. It is required for proper kind of distribution in various kind of source8. While a large
number of organizations have already come up with capacity to easily store up large volume of
day. The overall challenge is all about storing large volume of data. The overall challenge is all
about locating, identifying and checking the various sets of data that is data set.
Big Data can be stated as the addition of different kind of data which can be both
structured as well as unstructured9. It is mainly inclusive of social media, multimedia and various
kind of financial transactions. Various kind of technology like GPS and RFID tracking of
7 Jagadish, H. V., Johannes Gehrke, Alexandros Labrinidis, Yannis Papakonstantinou, Jignesh M. Patel,
Raghu Ramakrishnan, and Cyrus Shahabi. "Big data and its technical challenges." Communications of the ACM 57,
no. 7 (2014): 86-94.
8 Kambatla, Karthik, Giorgos Kollias, Vipin Kumar, and Ananth Grama. "Trends in big data
analytics." Journal of Parallel and Distributed Computing 74, no. 7 (2014): 2561-2573.

4APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
information which can be done by audio or video means can be done with the help of web
content. Some of the traditional warehouses is totally based on a certain number of periods
which can be done monthly and weekly basis. Big data can be easily analyzed and processed in
real time and in non-real time. It is considered to be vital for healthcare zones like clinical
decision support where updates can be provided on clinical support10. It is a zone where access
can be done on up to date basis. It aims to provide some of vital information which can be
considered to be correct for decision making and elimination of various kind of error. The
present data needs to be supported by the help of automated decision making. Without any kind
of present data, various kind of automated decision cannot be easily trusted11. It aims in forcing
expensive and time-consuming along with manual review for each and every decision.
Opportunities for Big Data in healthcare
Big data comes up with large number of implications for large number of patients,
researcher and lastly healthcare continents. It will ultimately create an impact on the fact that
9 Luo, Jake, Min Wu, Deepika Gopukumar, and Yiqing Zhao. "Big data application in biomedical research
and health care: a literature review." Biomedical informatics insights 8 (2016): BII-S31559.
10 Chen, Min, Yujun Ma, Jeungeun Song, Chin-Feng Lai, and Bin Hu. "Smart clothing: Connecting human
with clouds and big data for sustainable health monitoring." Mobile Networks and Applications 21, no. 5 (2016):
825-845.
11 Manogaran, Gunasekaran, Ramachandran Varatharajan, Daphne Lopez, Priyan Malarvizhi Kumar,
Revathi Sundarasekar, and Chandu Thota. "A new architecture of Internet of Things and big data ecosystem for
secured smart healthcare monitoring and alerting system." Future Generation Computer Systems 82 (2018): 375-
387.

5APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
how the various players can engage themselves in the given ecosystem of healthcare. It is mainly
used at the time of external data and social networking which are involved in it.
Healthcare model is all about understanding the inversion in the given old model which
helps in facilities in another kind of health providers. It is kept in certain region where patient
can be treated can be done in much easy way12. It ultimately helps in translating proper kind of
revenues. This particular model is mainly required for incenting and providing compensation
which is needed for providing proper kind of healthcare. Patient is considered to be a vital
element which aims in reducing the overall cost along with improving the outcomes. Patients
need to be provided with proper kind of information and they should be guided13. In most of the
scenario, it is seen that proper data is required for guidance which ultimately helps in decision
making. This whole thing will ultimately be led to better kind of programs for treatment.
Apart from various kind of data which is required for demographics and medical history.
There are some other kinds of data source where all the information of patient is provided about
themselves14. When the whole thing is combined with outcomes, then high quality of data can be
easily provided. It can easily become a source of information for various kind of researchers. It is
12 Raghupathi, Wullianallur, and Viju Raghupathi. "Big data analytics in healthcare: promise and
potential." Health information science and systems 2, no. 1 (2014): 3.
13 Viceconti, Marco, Peter J. Hunter, and Rod D. Hose. "Big data, big knowledge: big data for personalized
healthcare." IEEE J. Biomedical and Health Informatics 19, no. 4 (2015): 1209-1215.
14 Wang, Yichuan, LeeAnn Kung, and Terry Anthony Byrd. "Big data analytics: Understanding its
capabilities and potential benefits for healthcare organizations." Technological Forecasting and Social Change 126
(2018): 3-13.

6APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
very much helpful in reducing the overall cost and providing a boost of outcomes along with
improving treatment.
Accuracy: Various people around the globe can easily understand and have an idea
regarding their weight. It aims to engaging some of the negative kind of behavior for people
which is all about smoking15. They tend to focus on some of positive behavior that is exercise.
This issues inaccuracy can be easily used for dealing with the help of big data processing which
aims to improve the accuracy time.
Concern for privacy: In most of the cases, it is seen that people are associated neglect to
provide information about that particular individual. It is mainly done because of privacy issues
and another type of related concern16. Certain number of creative methods can be done for
encouraging and adversely affecting the business quality. Proper kind of mechanism should
come into picture which is required for ensuring the privacy of given data. Proper kind of
effective mechanism should be put into action which is required for assuring put the whole
picture into action.
Consistency: Certain number of standard needs to be maintained which is needed for
implementing the self-report data for various kind of healthcare system. It is mainly required for
increasing the usefulness of overall data.
15 Weber, Griffin M., Kenneth D. Mandl, and Isaac S. Kohane. "Finding the missing link for big
biomedical data." Jama 311, no. 24 (2014): 2479-2480.
16 Zhang, Yin, Meikang Qiu, Chun-Wei Tsai, Mohammad Mehedi Hassan, and Atif Alamri. "Health-CPS:
Healthcare cyber-physical system assisted by cloud and big data." IEEE Systems Journal 11, no. 1 (2017): 88-95.

7APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Facilities: There is certain number of facilities which is based on e-health and m-health
which highlights two major parts that is mobility and social networking. It requires to be
creatively employee for some data which can easily improve the level of self-reporting which is
developed by certain number of communities.
Social media will ultimately improve the various kind of challenges between patient,
communities and lastly providers. It will not only work for globalization and effecting
healthcare. It will not only work to globalize but can be also considered to be an important
source for big data. Data from social networking comes up with huge number of challenges like
volume, improper structure and lastly velocity. It emphasizes certain number of challenges which
aims to build up around accuracy and proper integration.
Big Data Challenges
In healthcare, there is no kind of lack of data but only lack of information is encountered.
It is mainly used for encountering data which can be used for decision making, strategy and
proper kind of planning17. A single kind of patient aims to be generated which is required for
thousands of data elements. It is required for proper kind of diagnosis, medication and results in
lab in results and its billing. It is mainly required for validating, integration into large source of
given data which is helpful for proper kind of analysis. By analyzing all the given aspects that
are point where the data is stored and scope of big data challenges has come into picture. This is
only a small portion of healthcare.
17 Luo, Jake, Min Wu, Deepika Gopukumar, and Yiqing Zhao. "Big data application in biomedical research
and health care: a literature review." Biomedical informatics insights 8 (2016): BII-S31559.

8APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Healthcare has slowed down the redesign the whole process which is due to adaptation of
large number of technologies18. It can easily create huge amount of impact on certain number of
areas like care delivery and lastly research. The healthcare technology is mainly inclusive of vast
region of technology and compilation related to it. The biggest obstacle which is encountered is
all about use of big data which is due to nature of healthcare information. Various research
centers and another institute which come up with their own data19. It is considered to be very
much difficult for integration which is because of concern related to privacy and data. It is well
understood for various kind of standard which helps in underlying data. It is mainly noticed due
to lack of metadata.
The whole healthcare system can easily make use of benefits which can be gathered from
big data system. Various researchers can easily identify various opportunities by which they can
collaborate and contribute. Cloud helps in easily identifying and analyzing the big data
technology in much effective way20. However, there is certain number of technologies tend to
exists. A proper process can be considered to be helpful in facilitating and accessing automate
18 Manogaran, Gunasekaran, Ramachandran Varatharajan, Daphne Lopez, Priyan Malarvizhi Kumar,
Revathi Sundarasekar, and Chandu Thota. "A new architecture of Internet of Things and big data ecosystem for
secured smart healthcare monitoring and alerting system." Future Generation Computer Systems 82 (2018): 375-
387.
19 Raghupathi, Wullianallur, and Viju Raghupathi. "Big data analytics in healthcare: promise and
potential." Health information science and systems 2, no. 1 (2014): 3.
20 Viceconti, Marco, Peter J. Hunter, and Rod D. Hose. "Big data, big knowledge: big data for personalized
healthcare." IEEE J. Biomedical and Health Informatics 19, no. 4 (2015): 1209-1215.

9APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
access which is encountered due to complexity and challenges. Providers patient and another
kind of interest parties like researchers aim to provide access to securing access to data. It is
mainly used for securing the data access to group. Big data technology can be easy for analyzing
different patterns and irregulating. It can be easily used for prevention of any kind of threat and
other types of fraud related to it.
Conclusion
From the above pages, it can be concluded that the essay deals with contribution of big
data technology in Healthcare. In the above pages, various opportunities and challenges in Big
data technology have been discussed in details. For successful implementation of big data
technology and identification of big data solution, healthcare organization should focus on two
kind of resources that is time and resource. It can provide the foundation which is required for
stronger execution. With the help of preparation, various organization will not be able
understand various kind of benefits of big data technology. It will ultimately risk various kind of
benefits of given big data technology along with various kind of risk in competitors. There is
large number of recommendations for healthcare organization like building business intelligent
center which is required for excellence along with focus on big data. A proper kind of access can
be done on various kind of big data initiatives which is required to be developed for meeting all
the corporate objectives.

10APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
References
Agarwal, Ritu, and Vasant Dhar. "Big data, data science, and analytics: The opportunity and
challenge for IS research." (2014): 443-448.
Andreu-Perez, Javier, Carmen CY Poon, Robert D. Merrifield, Stephen TC Wong, and Guang-
Zhong Yang. "Big data for health." IEEE J Biomed Health Inform 19, no. 4 (2015): 1193-1208.
Archenaa, J., and EA Mary Anita. "A survey of big data analytics in healthcare and
government." Procedia Computer Science 50 (2015): 408-413.
Belle, Ashwin, Raghuram Thiagarajan, S. M. Soroushmehr, Fatemeh Navidi, Daniel A. Beard,
and Kayvan Najarian. "Big data analytics in healthcare." BioMed research international2015
(2015).
Chen, Min, Shiwen Mao, and Yunhao Liu. "Big data: A survey." Mobile networks and
applications 19, no. 2 (2014): 171-209.
Chen, Min, Yujun Ma, Jeungeun Song, Chin-Feng Lai, and Bin Hu. "Smart clothing: Connecting
human with clouds and big data for sustainable health monitoring." Mobile Networks and
Applications 21, no. 5 (2016): 825-845.
Forkan, Abdur Rahim Mohammad, Ibrahim Khalil, Ayman Ibaida, and Zahir Tari. "BDCaM: big
data for context-aware monitoring—a personalized knowledge discovery framework for assisted
healthcare." IEEE transactions on cloud computing 5, no. 4 (2017): 628-641.
Jagadish, H. V., Johannes Gehrke, Alexandros Labrinidis, Yannis Papakonstantinou, Jignesh M.
Patel, Raghu Ramakrishnan, and Cyrus Shahabi. "Big data and its technical
challenges." Communications of the ACM 57, no. 7 (2014): 86-94.

11APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Kambatla, Karthik, Giorgos Kollias, Vipin Kumar, and Ananth Grama. "Trends in big data
analytics." Journal of Parallel and Distributed Computing 74, no. 7 (2014): 2561-2573.
Luo, Jake, Min Wu, Deepika Gopukumar, and Yiqing Zhao. "Big data application in biomedical
research and health care: a literature review." Biomedical informatics insights 8 (2016): BII-
S31559.
Manogaran, Gunasekaran, Ramachandran Varatharajan, Daphne Lopez, Priyan Malarvizhi
Kumar, Revathi Sundarasekar, and Chandu Thota. "A new architecture of Internet of Things and
big data ecosystem for secured smart healthcare monitoring and alerting system." Future
Generation Computer Systems 82 (2018): 375-387.
Raghupathi, Wullianallur, and Viju Raghupathi. "Big data analytics in healthcare: promise and
potential." Health information science and systems 2, no. 1 (2014): 3.
Viceconti, Marco, Peter J. Hunter, and Rod D. Hose. "Big data, big knowledge: big data for
personalized healthcare." IEEE J. Biomedical and Health Informatics 19, no. 4 (2015): 1209-
1215.
Wang, Yichuan, LeeAnn Kung, and Terry Anthony Byrd. "Big data analytics: Understanding its
capabilities and potential benefits for healthcare organizations." Technological Forecasting and
Social Change 126 (2018): 3-13.
Weber, Griffin M., Kenneth D. Mandl, and Isaac S. Kohane. "Finding the missing link for big
biomedical data." Jama 311, no. 24 (2014): 2479-2480.

12APPLYING MIXED METHODS AND RESEARCH TO BUSINESS
Zhang, Yin, Meikang Qiu, Chun-Wei Tsai, Mohammad Mehedi Hassan, and Atif Alamri.
"Health-CPS: Healthcare cyber-physical system assisted by cloud and big data." IEEE Systems
Journal 11, no. 1 (2017): 88-95.