University Name: Big Data Analytics in Healthcare Report - Semester 1

This report provides an overview of big data analytics in healthcare, highlighting its increasing importance and applications. It discusses the benefits of implementing big data, such as improved patient care, cost reduction, and enhanced efficiency. The report covers various aspects, including the use of electronic health records, predictive healthcare analytics, and the potential for reducing human error. It also explores the role of big data in areas like cancer treatment and opioid abuse prevention. The report emphasizes the significance of data management, the convenience for both patients and healthcare providers, and the potential for future advancements in the field. It references the increasing investments in big data analytics and its impact on healthcare organizations. Furthermore, it presents a positive outlook for the future of big data in healthcare, highlighting its role in transforming the industry through improved outcomes and strategic planning. The report also provides a list of references used in the document.

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INTRODUCTION
The health care industry has
drastically increased in the past
few decades
A lots of data is generated
every day
It is difficult to manage data in
the hard copy
As digitalization of data is in
progress now a days, the data
is stored in the form of large
data base known as big data

Business
strategies
Investment in technology
Increase in budget
Appointing staffs with
expertise in big data
analytics

Continued…
4% increment is planned over the data
analytics for next few years.
Organizations are hiring data scientists
and visualization developers more and
more
Organizations have more health plan
claims, financing data and in-house
clinical data
Improving the clinical outcomes is the top
priority for big data analytics investment
Statistics showing the big data
analytics usage in healthcare from
2002 till 2022

 Graph showing growth of the data analytics in the
coming years. This graph is expected to go up higher
with time.
 The information regarding their health issues, their
details of admission in any health center along with
many other data can be stored in big data making it

Implementation of big data in health
care
Prediction of patients for a
better staffing
Maintaining electronic health
record.
Alerting in real time
Boosting up patient’s
engagement
Electronics health record

Continued…
Prevent opioid abuse in the
United States
Informed strategic planning by
the usage of big data
Big data in curing cancer
Predictive healthcare analytics
Enhancing security by reduction
of forgery

Continued…
 Big data analytics gives an one click
solutions to all the queries by showing
every desired results required by the
hospital or the patient.
 The records can be accessed by any
smart application or devices like
smart phones, tablets or laptop.
 A complete hassle free experience
both for the hospital and the
patient
 Medicines can be purchased

Patients previously have to wait in line
for hours to get diagnosed.
This is time consuming
Analyzing the data properly gives
an idea to the doctor as well as the
patients when severe medication is
required

Some more
implementations:
 Reducing cost
 Reducing human error
 Early preventive care
 Systematic way of handling huge data

Conclusion
 Big data analytics is required for maintaining huge data
records
 The healthcare organizations are taking several
initiatives to bring forward some changes in the
organization by implementation of Big data
 Investments are made at a larger scale over the past
few years for introducing big data in different fields of
health care organization
 Big data is both convenient for patients, doctors and
hospital authorities

Reference list:
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data
analytics: Understanding its capabilities and
potential benefits for healthcare
organizations. Technological Forecasting and Social
Change, 126, pp.3-13.
Belle, A., Thiagarajan, R., Soroushmehr, S.M., Navidi,
F., Beard, D.A. and Najarian, K., 2015. Big data
analytics in healthcare. BioMed research
international, 2015.