By using big data analytics in healthcare, it empowers with actionable insights on patient’s data and outcomes and ensures to reduce overall healthcare costs, predict high risk patients more quickly, generate real-time alerting and so on.

1. 1. Improves patient healthcare
The significant benefit from the knowledge derived from big data analytics delivers greater clinical
insights to various healthcare providers. These cutting-edge analytics improve patient care in the
healthcare system as this data facilitates doctors to prescribe effective treatment and make clinical
decisions more accurate further eliminating any ambiguity involved in the treatment.
2. Predicts patients at higher risk quickly & efficiently
While considering the population-wide data for a particular area, specifically predictive analytics pinpoints
which segment of the patients are at higher risk for diseases and hints for early intervention to protect
them. This sort of prediction is more suitable for depictions with respect to certain chronic diseases.
3. Eases patient diagnostics with EHRs
This is the most widespread application of big data in enabling effective patient diagnostics with every
patient having their own electronic health records (EHRs). This EHRs includes the demographics, medical
history, allergies of patients, diagnostic test results of current and previous illnesses along with other
details.
4. Ensures to reduce overall healthcare costs
Healthcare providers can leverage the electronic health records (EHRs) which significantly helps to
identify large patterns that lead to a greater understanding of patient’s health patterns. This in turn can
essentially help cut costs by reducing unnecessary care or hospitalization. Typically, the greater insights
this analytics data gives to physicians truly translates to better patient care.
5. Delivers greater insights into patient cohorts
By analyzing healthcare big data, it draws a greater insight into patient cohorts that are at greatest risk for
various illnesses, and in a way helps to take out some proactive prevention measures. Interestingly, this
sort of analytics data can effectively be used to educate, inform and carefully motivate patients to take
responsibility for their own wellbeing.
6. Enables improved healthcare with fitness devices
Today, many consumer fitness products are available like Fitbit, and Apple Watch, etc. which keep a track
on the physical activity levels of the users. The data thus collected by numerous devices used by people is
sent to cloud servers, which is categorically being used by physicians to know the overall health and can
even accordingly plan for individual’s wellness programs.
7. Generates real-time alerting
There are specific medical healthcare decision support software that analyzes medical data on the spot
that deliver real-time alerting to help healthcare providers who in turn use that real-time data to deliver
better prescriptive decisions. Doctors in order to reduce the patient visits to hospitals are insisting on
patients to sue wearables which will collect patient’s health data continuously and sends the data to
cloud. This data is accessed by doctors to prescribe medicines based on the results and values.
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BENEFITS
WITH BIG DATA
ANALYTICS IN
HEALTHCARE
Improves patient
healthcare
Predicts patients at
higher risk quickly
& efficiently
Generates
real-time alerting
Eases patient
diagnostics with EHRs
Enables improved
healthcare with fitness
devices
Ensures to reduce overall
healthcare costs
Delivers greater insights
into patient cohorts