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?


10 Key Benefits of Data Analytics in Healthcare


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.


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


How Have Data and Analytics Changed In The Healthcare Industry Over Time? Only a mere few years ago it wasn’t 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.


Why Is Big Data Analytics & NLP Important In Healthcare?


What are the challenges in managing consumer insights data?


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