Healthcare Data Sources

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Will the Future of Search be Semantic in 2021?

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Table of Contents
How patient voice helps the healthcare experience


What are the sources of gathering patient voice
in healthcare?

What are the challenges in the patient voice
process?

An AI-driven semantic solution for patient voice
analysis
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How To Collect Patient Voice Data For A Better
Healthcare Experience
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Healthcare Data Sources - Patient voice helps
healthcare providers understand patient
requirements and deliver improved quality of
care. It is crucial information that hospitals
use to ensure that doctors, patients, and
caregivers all feel heard in an evolving
healthcare system. There are two important
aspects that healthcare providers need to address
with regards to patient voice. The first is
finding the right sources for patient voice, and
the second is having an unbiased system of
collecting the feedback. In this blog, our focus
is on the former, wherein we explore reliable
sources from where we can get patient voice in
healthcare.
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How patient voice helps the healthcare
experience
Receiving timely feedback leads to situational
awareness that policy-makers and healthcare
delivery organizations can use to assess any
shortcomings in care services. Patient voice-lead
healthcare data analytics helps organizations
develop a data-backed roadmap that can be used to
prioritize healthcare programs and strategize
operational efficiencies. It also helps hospitals
(teaching, military, or general) to achieve
benchmark performance scores to meet global
healthcare accreditations through a focus on
patient-centered care. Whether underlined by
legislative healthcare policies or driven by
individual goals of an organization, patient
voice can be instrumental in enhancing patient
experience. Conducting sentiment analysis on
patient voice data is an assured way to gain
granular insights on all facets of healthcare
that matter.
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Reasons why healthcare organizations collect
patient voice
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Which Are The Most Important Sources Of
Collecting Customer Insights?
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What are the sources of gathering patient voice
in healthcare?
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Which Are The Most Important Sources Of
Collecting Customer Insights?
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An AI-driven semantic solution for patient voice
analysis
Most of the challenges in processing patient
voice in healthcare can be overcome by an
AI-driven semantic approach towards data.
Healthcare organisations need a solution that is
intelligent in design. One that allows semantic
organizing and search of all data that is
relevant to doctors, patients, caregivers,
involved stakeholders, and policy decision
makers. The model needs to be robust in speed and
capacity so that terabytes of data are processed
without downtime. More importantly, it should be
capable of conducting sentiment analysis on the
patient voice data accurately. This means that it
should understand the data in its native language
without the need to translate it into English or
any other language for analysis.
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