Over the past one-decade or so, hospitals and healthcare
centers have witnessed a huge amount of data generation. Big data is the
intersection of these changes. In healthcare, it provides profits and reduction
on waste overheads. It is benefiting the healthcare industry in multiple ways.
Barriers for
using big data
The big data phenomenon has great value and is yet to
face several challenges. Specifically, it has two major drawbacks in the
healthcare field:
- Requirement of technical expertise
- Lack of robustness
Security of patient data
Security of every patient record or data is primary. Big data is not able to manage an
integrated amount of data. For this reason, hospitals require data scientists
to take some steps to confirm better security of data. Big data acts on an open
source technology with non-compatible security technology. To avoid problems,
organizations should select original big data vendors to implement.
Structure of
healthcare and predictive analytics
Predictive analytics is one of
the most discussed topics in healthcare today.Meaningful analysis
of the data in healthcare can improve patient care and chronic disease
management based on predictions. However, making predictions would be a waste of
time if they do not get transformed into consequential actions.
Enterprise data warehouse is
essential for the management of patient records and data. With EDW, systematic integration
of data is made easy using the analytics approach.This step helps prioritize
resources within the health system focusing on cost reduction and revenue
enhancement while improving patient outcomes.
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