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1.What do you feel the pro's and con's are of Big Data?

2. In what area of your practice do you feel like Big Data could be helpful?
- For example in psych the ability to track metabolic changes in patients on antipsychotics.

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Big Data and What it will do to Healthcare:

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Big Data and What it will do to Healthcare:

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How Big Data Could Transform The Health Care Industry

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Example of Big Data in Use and the Challenges of It:

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Example of Big Data in Use and the Challenges of It:

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Big Data challenges and opportunities with respect to Health Informatics

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What Makes Big Data, Big Data? "The 4 V's of Big Data"

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What Makes Big Data, Big Data? "The 4 V's of Big Data"

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*For a better view, click on the picture below,  select open in new window then click the picture again to zoom.

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Easy read on Forbes

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If you want to find out how Big Data is helping to make the world a better place, there's no better example than the uses being found for it in healthcare.

The last decade has seen huge advances in the amount of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. The intersection of these trends is what we call "Big Data" and it is helping businesses in every industry to become more efficient and productive.

Healthcare is no different. Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths. With the world's population increasing and everyone living longer, models of treatment delivery are rapidly changing, and many of the decisions behind those changes are being driven by data. The drive now is to understand as much about a patient as possible, as early in their life as possible - hopefully picking up warning signs of serious illness at an early enough stage that treatment is far more simple (and less expensive) than if it had not been spotted until later.

So to take a journey through Big Data in healthcare, let's start at the beginning - before we even get ill.
Prevention is better than cure
Smart phones were just the start. With apps enabling them to be used as everything from pedometers to measure how far you walk in a day, to calorie counters to help you plan your diet, millions of us are now using mobile technology to help us try and live healthier lifestyles. More recently, a steady stream of dedicated wearable devices have emerged such as Fitbit, Jawbone and Samsung Gear Fit that allow you to track your progress and upload your data to be compiled alongside everyone else's.

In the very near future, you could also be sharing this data with your doctor who will use it as part of his or her diagnostic toolbox when you visit them with an ailment. Even if there's nothing wrong with you, access to huge, ever growing databases of information about the state of the health of the general public will allow problems to be spotted before they occur, and remedies - either medicinal or educational - to be prepared in advance

This is leading to ground breaking work, often by partnerships between medical and data professionals, with the potential to peer into the future and identify problems before they happen. One recently formed example of such a partnership is the Pittsburgh Health Data Alliance - which aims to take data from various sources (such as medical and insurance records, wearable sensors, genetic data and even social media use) to draw a comprehensive picture of the patient as an individual, in order to offer a tailored healthcare package.

That person's data won't be treated in isolation. It will be compared and analyzed alongside thousands of others, highlighting specific threats and issues through patterns that emerge during the comparison. This enables sophisticated predictive modelling to take place - a doctor will be able to assess the likely result of whichever treatment he or she is considering prescribing, backed up by the data from other patients with the same condition, genetic factors and lifestyle.

Programs such as this are the industry's attempt to tackle one of the biggest hurdles in the quest for data-driven healthcare: The medical industry collects a huge amount of data but often it is siloed in archives controlled by different doctors' surgeries, hospitals, clinics and administrative departments.

Another partnership that has just been announced is between Apple and IBM. The two companies are collaborating on a big data health platform that will allow iPhone and Apple Watch users to share data to IBM's Watson Health cloud healthcare analytics service. The aim is to discover new medical insights from crunching real-time activity and biometric data from millions of potential users.

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If you want to find out how Big Data is helping to make the world a better place, there's no better example than the uses being found for it in healthcare. The last decade has seen huge advances in the amount of data we routinely generate and collect in pretty much [...]

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*For a better view, click on the picture below,  select open in new window then click the picture again to zoom.