Big Data is a buzz word that has spread in the healthcare industry like a virus. But this virus is here for the good. Big Data is giving birth to new and efficient methods of mining data or testing methodologies. This presents an opportunity for healthcare sector to benefit in many ways- enabling new sources of research, identification of potential patients before severe diagnosis and enhanced overall efficiency.

So how is Big Data Testing changing healthcare?

Healthcare business is using Big Data Testing use cases to test effectiveness of certain medicines and much more…

Testing Use Cases of Data Analytic with Hadoop

There are lot of uses cases for big data analytic that help create cost-effective, accurate and efficient structures. For instance, Hadoop Big Data Testing Clusters perfect to execute indexing and create inverted index structures that is needed for purposes like identifying effectiveness of medicines around certain demographics. These demographics have certain suggestive conditions that need to be indexed for which the Hadoop Big Data Testing Cluster is used.

Further, Big Data in healthcare sector proves to be a revolution in the following ways-

Helping doctors identify medical risks before major diagnosis

Big Data helps healthcare professionals to identify high-risk medical conditions prior to major damage or disease. The predictive analytic of Big Data Testing is revolutionizing the way risks are identified way before major clinical problems.

Enhanced hospitality towards patients

Big Data raises the quality of services provided to patients. For instance, healthcare professionals use Big Data Testing services to produce medical decision support mechanisms. These mechanisms help the healthcare professionals to find and erase errors with proper solutions after evaluation of prior decisions.

Reduced costs

Big Data Testing now plays a grand role in helping healthcare sector to reduce huge costs. For instance, some doctors were spotted using Big Data Testing features that raised their operating costs. After deep analysis, healthcare professionals were able to lower costs by reducing or eliminating certain repetitive and redundant testing methodologies. As per an estimate by McKinsey & Company, proper Big Data Testing procedure helps healthcare sector to save around 0.5 trillion dollars.

On a greater level…

When you take a look at the broader horizon from a higher dimension you see more revolutionary things happening. For instance, Big Data is helping monitor possible disease outbreak by tracking population healthcare data. This will prevent major disease epidemics that spread like an inferno by identifying key ‘disease hot spots’. This prevents major epidemic penetration in the society such as cancer epidemics, outbreak of flus and other threatening diseases.

Under the radar…

Big Data prevents patients from slipping through the cracks by keeping them under the radar. For instance, it tracks those who have not visited clinic in years and are developing disease symptoms that they are not aware of. It also tracks those who did not come back for treatment or a follow-up after detecting acute diagnosis of a disease. It tracks the one who suffered a heart attack 3-4 years prior but hasn’t visited a doctor since then in spite of a recommended follow-up after a year.

You may think these are small things, but they’re the ones that go a long way to prevent patients from landing up in the emergency snug. These small measures also reduce huge healthcare costs in a period of time therefore boosting income for health care sectors.

Mobile Big Data

Mobile is the most prominent device that every person has today. Big Data is utilizing this pervasive medium to tap into crucial population healthcare insights. For instance, healthcare apps are being developed (many are already active in the market) to measure various health parameters of a person. This includes how far one walks every day, obesity tracking, helping one to keep a calorie check and devise a healthy diet and so on. Mobile Big Data is therefore helping every one live a healthier lifestyle. You can even get wearable devices like Fit-bit, and Samsung Gear Fit that enable you to maintain a healthy lifestyle by uploading and analyzing data to sustain your health and fitness.

Conclusion -

One thing is clear, Big Data is surely benefiting healthcare sectors by leaps and bounds. However, in all this scenario, we must never forget that healthcare is about individuals, and not a number game. Big Data surely provides numerical benefits to healthcare with gleaming balance sheets and flourishing operational efficiency. But the core objective stays stomping clear- “Patients are above their data. Their health is top priority.”

So how is Big Data Testing changing healthcare? Is there any point I haven’t mentioned here, "Leave a comment below" !

Hey Everyone,

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I Would like to know what you think... Thanks!