Big Data Applications in Healthcare Sector

BIG DATA THEORY AND PRACTICE
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Contents
PART A...........................................................................................................................................3
1. Investigation of Big data applications in healthcare sector.....................................................3
2. Big data applications used by healthcare industry-.................................................................3
2.1 Electronic health Records (EHRs).........................................................................................3
2.3 Real time Alerting..................................................................................................................4
2.4 Predictive Analytics in healthcare.........................................................................................4
3. Discuss the different big data technologies.............................................................................5
3.1 Hadoop...................................................................................................................................5
3.2 NoSQL...................................................................................................................................6
3.4 Data Lakes.............................................................................................................................6
3.5 In-memory database...............................................................................................................7
4. Determine the problem in healthcare sector and type of data should be used.........................7
5. Solution Adopted to address data Governance issues-..........................................................10
REFERENCES..............................................................................................................................12
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PART A
1. Investigation of Big data applications in healthcare sector.
Nowadays, Big data is buzz word in current scenario, heard everywhere, especially in the
healthcare industry. Usually, there are large amount of data or information used by healthcare
sector, which was stored or collected as hard copy. Various type of data has a capability to
support wide range of health care and medical functions (Agrawal, 2020). Big data is become
consider as digitalization, which are completely related with the patient health care and well-
being makes up big data.
Over the past decade, big data is becoming one of the advance technology so as applicable
in the healthcare industry. For example- Electronic health records (EHR) have been widely used
or adopted in different hospitals or clinics worldwide.
2. Big data applications used by healthcare industry
2.1 Electronic health Records (EHRs)
It is one of the most widely spread application of big data in term of medicine. Every
patient has its own digital record which including demographics, allergies, medical history and
laboratory tests etc. these are the best way to the record all essential information. In most of
cases, it should have exchange or share the record via secure information system. This is
available for providers from private as well as public (Canales, 2020). EHRs can provide as
trigger warning, reminders when a patient should get new lab test. This will help for tracked the
prescriptions.
On the other hand, Electronic health Record automates access to data or information,
which has potential to easily streamline the clinician’s workflow. The ability of HER technology
which help to handle the better support and also related to activities indirectly or directly through
various interfaces. Sometimes, it should include evidence based decision in order to maintain the
quality management. As a result, it will be generating accurate result or outcome.
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2.3 Real time Alerting
It is another big data application in healthcare sector, which means that become crucial
functionality. In different hospitals, clinical decision support (CDS) software has used to analyse
large amount or medical data or information. Afterwards, it provide the better health practitioner
with advice as they make a better prescriptive regarding decision-making.
By using CDS analytical software, it will be easily accessed the information from large
data set of health. It allows the doctors to compare data in a social-economic context. This will
help for modifying any kind of every delivery strategies accordingly (Chen, 2020). For example-
whenever, doctor will check the patient’s blood pressure in which it will increase, generate
alarmingly. System will automatic way to send an alert in real time to doctors, who will take
important action to reach accurate right decision.
2.4 Predictive Analytics in healthcare
It has been recognised that predictive analytics as one of the biggest business intelligence
trends but it is potential applications reach at right position. For example- medical staff members
have been used the EHRs to collect or store large amount of information. In order to create
individual database of patient and then predictive way to analyse the information. This will help
for improving the delivery of care.
The predictive modelling is useful in healthcare that can easily observed during
emergency care, intensive care and surgical procedures. Usually, it come from the patient who is
directly related to quick reaction and helping in acute decision. If a complex situation takes place
which needs to be used predictive analysis in healthcare (Delanoy, 2020). This will help for
generating accurate result or outcome. At some point, patient face possible threat related to their
wellbeing and also consideration of development in context of infections treatment. So that
predictive modelling applied in healthcare in order to react as possible, also helping to find out
the accurate solution.
The primary goal of healthcare online enterprise intelligence is helping the medical
professionals to make data driven decision within few seconds, improve the better patient’s
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