Big Data Analytics using in Healthcare Management System

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD31014 | Volume – 4 | Issue – 4 | May-June 2020 Page 585
Big Data Analytics using in Healthcare Management System
Gagana H. S1, Bhavani B. T2, Gouthami H. S1
1Faculty in Computer Science, 2Student, M.Sc. in Computer Science,
1,2DOS in Computer Science, Mangalore University,
1,2Jnana Kaveri PG Centre, Chikka Aluvara, Kodagu, Karnataka, India
ABSTRACT
Big data is the new technology for healthcare management system. Present
day’s big data analytics are using in everywhere because of its good data
management and its large storage capacity. In hospital managements the
patients and doctors record keeping safe is the important role in healthcare
system. In worldwide the big data method is extended use in the area of
medicine and healthcare system. In this sector so many problems are there in
implementing big data in healthcare systemespeciallyinrelationtosecurities,
privacy matters, standard records, good governance, managing of data, data
storing and maintenance, etc. It is critical that these challenges to overcome
before big data can be implemented successfully in healthcare. The amountof
data being digitally collected and stored safely in big data Hadoop clusters.
This paper introduces healthcare data, big data in healthcare systems,
applications, advantages, issues of Big Data analytics in healthcare sector.
KEYWORDS: Big Data analytics, Healthcare, Personalized medicine, health
promotion, Hadoop cluster
How to cite this paper: Gagana H. S |
Bhavani B. T | Gouthami H. S "Big Data
Analytics using in Healthcare
Management System" Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-4, June 2020,
pp.585-587, URL:
www.ijtsrd.com/papers/ijtsrd31014.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
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CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
1. INTRODUCTION
Big data is the one of the most usingtechnologyinhealthcare
management system. Big data has implications on
healthcare on hospital’s patients, staffs, doctors, medicine
providers, researchers, health professionals. The health
record is very useful to provide patients records with up-to-
date information to assist them to make the urgent decision
medical treatment. The medical records include patient’s
basic data, doctor’s data, surgical data, medicine data, etc.
this information is stored in one single record like PMR
(patient medical record), and it is stored in Hadoop cluster.
It has some security and privacy. Only authorized persons
can use this data properly.
In health sector different forms of data and large amounts of
data are generated. For example hospital database include
patients and staffs summary, hospital structure, different
types of medical equipment, medical devices, etc. In big data
technology we use different types of records for patients
information are stored in this types only these are EMR
(electronic medical record) and EHR (electronic health
record). Big data in health sector is very useful in both
research and clinical
2. LITERATURE SURVEY
Big data in health informatics can be used to predict
outcome of diseases and epidemics, improve treatment and
quality of life, and prevent premature deaths and disease
development. Big data also provide information about
diseases and warningsignsfortreatmenttobeadministered.
This will help not only to prevent co-morbidities and
mortality but also assists government to save the cost of
medical treatment. It is very useful not only in clinical
medicine for diagnosis/detectionbutalsoinepidemiological
research as the big data will provide huge amount of data.
The government, non-governmental organization and/ or
pharmaceutical companies can use the data to formulate
policies, strategies, intervention or medical treatment such
as drugs development. The Malaysia National Health and
Morbidity Survey in 2015 has revealed that the number of
obese Malaysians have risen to 17.7% compared to 4.4 % in
1996 and 17.5% of those aged 18 and above have diabetes
compared to 11.6% in 2006. Most of the time, medical data
are collected in silos in their respective healthcare centres
and is governed and controlled by hospitals or clinics
administrative departments. Should big data is successful
implemented in Malaysia, it will reduce wasteful overheads
and effective managed.
3. BIG DATA TECHNIQUES
“Big Data is the term for the collection of datasets so large
and complex that it becomes difficult to process using ion
hand databases management data processing applications”.
The 4 V’s of Big Data:
Volume: It is getting vast as compared to traditional
sources through which data used to be captured large
amounts of data generated every seconds.(email,
twitter, msg).
IJTSRD31014

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
Velocity: The speed at which data is being generated, it
is phenomenal and never stopsthespeedofdata moving
in and out data management.
Variety: Data comes from various sources, machine
generated and people generated different data formats
in terms of structured or unstructured data. Data comes
in all varieties in form of structured, numeric data in
traditional databases to unstructured text documents,
email, video, audio, stock ticker and financial
transactions.
Veracity: Trustworthiness of data the qualityofdata,as
one little control of the volume.
3.1. BIG DATA APPLICATIONS
Public sector services.
Healthcare contributions.
Learning services.
Insurance services.
Industrialized and Natural Resources.
Transportation services.
Banking sector and Fraud Detection.
4. BIG DATA IN HEALTHCARE SYSTEM
Coordination of patients and hospital persons is more
important, because the patients trust is very valuable. Every
patient likes good services and transparency in hospital.
Patients all information like his/her basic data, test result
data, surgical data, medicine data, referred doctor data all
the data are stored in hospital database. Here security is
more important. Using big data technology we provide
security and privacy for hospitals data. The big data method
is extended use in the area of medicine and healthcare.
Mainly this technology rises the cost of healthcare is also
increasing more and more.
In Big data method collecting all medical record and stored
in Hadoop cluster, it is very secure and maintenance also
cost effective. Once the patientsregisteredhis/her name and
his /her data it will be stored in the hospital database safely
forever and whenever required,thedoctororpatientcan use
it. For example, present day’s data is used in such an extent
that doctor prescribes the medicines without even visiting
the patient by knowing the heartbeat and temperature
through the heartbeat and the temperature monitoring
watch fitted on the patient’s hand that stays in a remote
place. Now a day these types of devices are usingtotakecare
of patient.
4.1. CHALLENGES IN BIG DATA WITH HEALTHCARE
There are some challengesof BigData analyticsinhealthcare
systems.
Capturing Or collecting the data
Storing the patients and doctors information
Sharing medical records data
Searching particular medical record database
Analysing and processing the data
Hospital data security and privacy
Maintenance of good quality data
Maintain standard healthcare report
4.2. ADVANTAGES OF BIG DATA IN HEALTHCARE
A. Big data provide the full information on the patient’s
and at the same time able to administer medical data
without any delay.
B. Big data is also used in predictive data analysis it isused
to identify and address the medical related problems
immediately.
C. Big data providing some security features, like it is very
effective in identifying the frauds in healthcare system.
D. Quick access: Big data allows development or
modification of a functions or program to identify the
health related problems.
E. Medicine industry: Big data could facilitate the
pharmaceutical companiestoidentifynewpotential and
effective drugs and deliver it to the users more quickly.
4.3. ISSUES WITH BIG DATA IN HEALTHCARE
Doctor and Patient data confidentiality
Accountability
Security and privacy matters
Medical Records maintenance
Storage and maintenance cost
Accessibility and Availability
Varieties of data available in healthcare
Data management
CONCLUSION:
Big data is very effective and useful because of it can handle
both structured and unstructured data formats. Hospitals
are producing large number anddifferentformofdata.Using
traditional data processing techniques and tool/software in
Healthcare data management is very critical to handle
because now a day large number of data are produced in
healthcare sector, handling these data has some problem.
Using big data and Hadoop methods to solve thoseproblems
very effectively and easily. Understanding the unstructured
clinical notes in the right index is the one of the challenge. In
hospital among all 80% of health data is clinical data and
which is unstructured as documents, images, clinical or
doctor’s notes. The amount of data being digitally collected
and stored safely in big data clusters. Only authorized
persons can access the data in database. Finally Hadoop-
based Big Data has effective advantages like accountability,
efficiency, reliability, scalability and security.
REFERENCES:
[1] “CRS Model Design for Personal Health Records
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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
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