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For our ancestors who didn’t have the benefit of a world map...

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For our ancestors who didn’t have the benefit of a world map...

Rizom - April,2018
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For our ancestors who didn’t have the benefit of a world map...

Rizom - April,2018
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For our ancestors who didn’t have the benefit of a world map...

Rizom - April,2018
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Prathyusha YS 2019-04-12 01:23
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ADVANTAGES OF DATA ANALYTICS IN HEALTHCARE

Healthcare is one of those fields which witness a tremendous generation of data. From normal physical checkups to imaging to surgery to insurance claims, data is being generated everywhere. More than this, doctors and hospitals have been storing their patients’ data for ages. This massive data is providing opportunities to Data Science and Data Analytics to create wonders in medical science. While Data Science is a broad term covering from the exploration of data to visualization and deploying statistical models, Data Analytics is mainly focused on analyzing the data and extracting as many results as we can.

How Data Science is Helping Medical Science

a.       Controlling Epidemics: Epidemics have always been one of the greatest killers in human history. Earlier, it was difficult to control the epidemics because there was almost no generation of data and no advanced tools to make sense of them.

But Data Analytics today can analyze the patterns and predict the potential hazardous zone of epidemics. In case of an outbreak, the analytics can help the authorities to calculate what treatments and medical supports are needed. Using the data collected by GPS coordinates, we can even track the direction of spread of diseases. This is how Ebola was controlled recently.

b.      Developing Faster Production and R&D System: The development of a drug and getting approval takes a lot of time. Today, laboratories are using predictive models, algorithms and statistical tools to reduce this time span. Analytics helps by developing methods to accelerate the process of development of drugs. Laboratories can use algorithms to scan the result of related drugs in the past.

c.       Tracking of Diseases: We’ve heard of Data Science working on algorithms that can detect even the slightest disorder in our body and sending the warning before the symptoms have even occurred. But this is possible only because Data Analytics has been able to exploit a huge amount of data related to our body and health.

d.      Customer Service: Hospitals are meant for taking care of patients, and Data Analytics can help in this field as well. It helps the hospitals in understanding the need of each of their individual patients and in providing with personalized care. If better care is provided, then the chances of improvement in the health of the patient increase to a great level.

e.      Reducing Diagnosis Mistakes: Data Analytics also has the potential to reduce the diagnosis mistakes that happen regularly in the hospitals worldwide.

f.        Fraud and Abuse: The fraudulent acts in the healthcare industry can range from false billings to the wrong diagnosis to even false insurance claims. With the help of data analytics, hospitals can track the patterns and behaviors that can lead to such frauds, and using prescriptive analysis, advanced actions can be taken.

The Scope of Data Analytics in Healthcare

It hasn’t been a long time since when the Data Analytics has tapped into medical science, and this is why there is a huge void of professionals who can deal with all the data being generated every day. This is actually good for people who are learning Data Analytics currently.   

Resource Box

We all dream of a disease-free world, and with the impacts of Data in medical science, it’s not an impossible dream. If you want to contribute to healthcare by becoming a data professional, then you should Enroll into the Data Analytics course in India



written by

written by

Prathyusha YS

 

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