Title: Big Data Analytics in Healthcare
1Will the Future of Search be Semantic in 2021?
2Table of Contents
What Is Big Data Analytics in Healthcare?
What Is Patient Voice?
Why Is the Big Data Analytics Model Important?
3How Big Data Analytics Models Can Impact
Healthcare
4Healthcare big data analytics can not only
improve patient care and health outcomes, but it
can help healthcare providers diagnose diseases
faster and more accurately than ever before. It
can also contribute significantly to bettering
the overall patient experience. The COVID-19
pandemic has perfectly illustrated the
significance of big data analytics in healthcare.
It allowed healthcare organizations to properly
allocate resources to ensure that every patient
gets effective treatment and also allowed
governments to formulate the strategies needed to
curb the spread of the disease.
5What Is Big Data Analytics in Healthcare?
Healthcare big data analytics is the process of
gathering and analyzing vast amounts of raw,
unstructured data to identify trends and
patterns, make predictions, and gain insights
from the data. Combined, data analytics allows
organizations to make better data-driven
decisions. Big data analytics in healthcare,
therefore, involves processing patient data
collected from a variety of sources. These
include electronic health records (EMRs),
diagnostic imaging systems, health monitoring
equipment, laboratory results, health care
provider notes, and more. Gathering and analyzing
healthcare data is critical because it allows
healthcare providers to improve patient care,
enhance preventative medicine, diagnose diseases
quicker and more accurately, and provide patients
with more personalized treatment. From a business
point of view, data analytics can help
organizations with the allocation of resources,
lowering the costs of healthcare, and simplifying
their operations.
6What Is Patient Voice?
Big data analytics in healthcare doesnt stop
with analyzing patient data, though. It also
allows health care facilities like hospitals,
clinics, and doctors offices to analyze patient
feedback or patient voice. For patient voice,
healthcare providers typically gather data
through post-appointment surveys, phone calls, in
hospital questionnaires, feedback forms, or even
social media feedback. This gives them a wealth
of patient feedback, opinions, and feelings they
can analyze to understand how patients truly feel
about their level of service. In simple terms,
analyzing this data gives them the ability to
gain valuable insights into where theyre
performing well and where their processes might
need to be improved. In turn, healthcare
organizations can improve their processes for a
better patient experience. Its important to
remember, however, that health care providers and
facilities can only access healthcare big data
analytics insights if they use the right tools.
This is simply because its challenging to
convert unstructured patient feedback data into
information that is analytical and actionable.
7Why Is the Big Data Analytics Model Important?
- Better decision making
- Improved diagnostics
- Improved treatment outcomes
- Enhanced patient experiences
- Real-time monitoring
- Preventative care
- Facilities management
- Increased efficiency
- Decrease costs
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