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Healthcare Big Data Analytics Trends in 2017

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Big Data has changed healthcare in more ways than we could have imagines. The potential of using information to create better and affordable healthcare for all are massive and we are already seeing the results of this data deluge. It has helped us in anticipating outbreaks, tracking individual patients, improving care experience and bringing organizational efficiency.

In many ways healthcare was ready and bursting for Big Data solutions. This is an area where we are bombarded with data and information every day in the form of patient medical records, insurance records, medical journals, lab results and so on. Big Data analytics solutions help us to manage this.

Today Big Data analytics is one of the most exciting fields in medical technology. Although most solution providers are still grappling with the basics in healthcare, we have already seen how profoundly it can change and shape the future. Just as technology is changing at a lightening pace, trends in healthcare are also changing its landscape fast.

These are some of the trends that will make their debut or dominate in 2017

Today more and more people are bear health sensors and connecting with mobile tech. The smartphone solution has been around for some time now. However, in 2017 health apps will raise the bar further. Not only do we now have third-party apps, we also have apps by healthcare organization. These purpose-built apps are focused on virtually all health parameters, from managing fitness schedules to tracking appointments.


Wearable tech has further changed the game. Gadgets like the Jawbone, Fitbit, Samsung Gear Fit, and GoQii promise to be your health assistant, monitoring virtually every fitness parameter — sleep cycles, exercise, food intake, heart rate and more. We will see better health awareness as people are able to track the state of their health on their own.

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Insiders predict that this data will become part of a person’s medical history. Technology will be able to amass all our day-to-day health issues with lab and medical records. In future doctors will be able to access these records for quick diagnosis.  The IoT in healthcare will pinpoint possible symptoms, intervene in case of medical emergency and, some predict, even diagnose. Further health management will monitor treatment to ensure that patients take medicines, track appointments and collect health record.

Public-Private Partnership On Big Data

Big data has larger implication than just personal health management. We will see increasing public-private Big Data. The recently announced Pittsburgh Health Data Alliance collates data from multiple sources — from insurance records, wearable sensors to genetic records to create a person’s health history. Eventually it can give us a better insight into a health patterns in a population.

As global outbreaks of diseases become common, the public-private partnership will become increasingly critical in predicting outbreaks. Software linkages will trigger warnings of symptoms, giving us a chance to launch more effective preventive care.

Affordable Tech For Diagnosis

Wearable devices will no longer be limited to general health monitoring. More than one healthcare startup in the IoT sphere is bringing specialized wearable medical equipment that can be used as diagnostic tools. Innovative solutions include cardiac monitoring and eye testing. The data generated by these devices will now become part of a person’s medical history.

Shifting focus to value-based healthcare: As concerns over inflated bills dominated the insurance sector, focus is now shifting towards a more value-based system. In the past, a number of healthcare funding agencies, such as insurance companies, have raised concerns over artificially inflated medical costs by hospitals and other healthcare providers. The previous pay-for-service model was open to exploitation by adding spurious tests and charges to inflate the bill.

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Now the focus is shifting to value-based acre, which rewards quality and cost-effective care. This is only possible through Big Data analytics. The analysis is based on price conscious, consistent and diligent care. This forces healthcare providers to install more robust digital management with transparent billing systems and patient-focused policies.

Identifying And Preventing Fraud

Overinflated bills are not the only frauds in the healthcare industry. Other frauds by public healthcare sector are equally, if not more, damaging. As focus, shifts to malpractice in healthcare sector and investigative authorities crack down, Big Data analytics will increasingly come into play. Information and data collected over a period can pinpoint instances of willful abuse. As a bonus, this evidence is incontrovertible, increasing the chance of successful prosecution.

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