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Data Analytics

In: Computers and Technology

Submitted By Cameron345
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Introduction and Definition of Data Analytics
Data Analytics is defined as “the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics focuses on the process of deriving a conclusion based solely on what is already known by the researcher” (Rouse, 2005- 2015). “The healthcare industry is one that is continuously progressing” (Keszczyk, n.d.). Data analytics is used in various ways within the health care industry. Many health care facilities/providers are in the process, if not already completed, of converting from the archaic paper chart to electronic health records (EHR). According to Stacy, an electronic health record is “a digital collection of an individual’s medical information, an EHR contains not only diagnoses, records of treatment, and medication information, but other data relevant to a total picture of an individual’s health” (Stacy, 2013). A goal of the EHR is to allow a provider to readily retrieve notes, labs, exams, etc. from other providers for a mutual patient.

Advantages and Disadvantages of Data Analytics The advantages of Data Analytics in the health care industry includes a heightened level of coordination of care between providers. Coordination of care consists of the ability for all providers to have access to all aspects of the patient’s care. A patient neglecting to mention a surgery or procedure done many years ago, not revealing all food or drug allergies, not remembering failed medication attempts, or not divulging full medication list to a new provider could prove to be detrimental to the care of a patient and even fatal at times. Electronic Health Records, in and of its functionality have made disclosing information about a patient easier. Other advantages include fraud detection
The disadvantages of Data Analytics include how information is used or distributed directly

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