Data analytics in healthcare

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Table of Contents
How Has Data Analytics Evolved in Healthcare?

How Have Data and Analytics Changed In The
Healthcare Industry Over Time?

Why Is Big Data Analytics NLP Important In
Healthcare?
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10 Key Benefits of Data Analytics in Healthcare
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Benefits of data analytics has lead to increased
efficiency, enhanced decision-making ability, and
productivity across a variety of industries. The
healthcare industry is no exception. Patient
Voice in Healthcare big data promises several
benefits which includes everything from better
patient treatment to better health outcomes and
improved diagnostics. Natural language processing
or NLP in healthcare has changed the way doctors
and medical professionals use, manage, and
analyze critical healthcare data and utilize it
in the healthcare industry. NLP has given
healthcare providers the ability to implement
patient voice in their operations which allows
them to deliver improved patient experiences.
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How Has Data Analytics Evolved in Healthcare?

• Data analytics and NLP in healthcare also the
  ability to significantly lower healthcare costs
  because when patients are treated better and more
  efficiently, it keeps the unnecessary costs low.
  And this can only improve further as more and
  more data is collected and analyzed.
• With the digital age at its peak, even the
  sources of collecting healthcare data have
  evolved. New age sources of collecting patient
  information include
• Electronic health records (EMRs)
• Electronic prescription services
• Personal health records of patients
• Master patient indexes
• Patient and support staff web portal

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How Have Data and Analytics Changed In The
Healthcare Industry Over Time?
Only a mere few years ago it wasnt uncommon to
find handwritten medical records. Every time a
doctor, nurse, or other healthcare provider
provided some sort of service or treatment to a
patient, notes were made and filed in hardcopy
form. The digital transformation of healthcare
eliminated this with health records now being
digital. This is not only much safer but also
more convenient as these records can now be
accessed from anywhere, and can also be
replicated. No matter what treatment the patient
must receive, because of NLP in healthcare key
medical information is now available to
physicians or medical providers whenever the need
arises.
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Why Is Big Data Analytics NLP Important In
Healthcare?
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What are the challenges in managing consumer
insights data?
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