Big Data Analytics in Healthcare

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2. Table of Contents What Is Big Data Analytics in Healthcare? What Is Patient Voice? Why Is the Big Data Analytics Model Important?

3. How Big Data Analytics Models Can Impact Healthcare

4. Healthcare 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.

5. What 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.

6. Big data analytics in healthcare doesn’t stop with analyzing patient data, though. It also allows health care facilities like hospitals, clinics, and doctor’s 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 they’re performing well and where their processes might need to be improved. In turn, healthcare organizations can improve their processes for a better patient experience. It’s 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 it’s challenging to convert unstructured patient feedback data into information that is analytical and actionable. What Is Patient Voice?

7. Why 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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