How Healthcare Can Learn from Big Data’s Business Disruption

This week’s best news articles pick on what healthcare organizations can learn from Big Data’s business disruption

The possibilities for health care and pharma that big data holds are nearly limitless. Just as spring is the season for new beginnings, big data has the potential to disrupt health care in a significant yet positive way. By harnessing big data’s value and through strategic insights, organizations can change the way that patient care, research and development and diagnosis have been done. Here’s a look at this week’s curation of big data’s disruption thus far.

1. How Big Data Is Changing Healthcare

By Bernard Marr, published on Forbes

Prevention is the missing piece of the health care puzzle

Big data is leaving no industry untouched. And the healthcare industry is no exception. Big data is helping it to become more productive and efficient. Cutting waste, improving profits, driving quality of life – these are just three of the foreseen benefits in the marriage of big data and healthcare. In particular, with the data healthcare organizations can collect, it’s possible to prevent disease and unhealthiness long before it shows up. It’s also helping provide healthcare professionals with the larger picture of patient health in order to make better diagnosis.

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2. Big Data-As-A-Service Is Next Big Thing

By Bernard Marr, published on Forbes

Big data as a service

It was almost inevitable that Big Data as a Service (BDaaS) evolved as a driver. It’s becoming a fast-growing market, designed to help companies make sense of an ever-growing tangled web of data. With the evolution of BDaaS, companies can now take the plethora of stored data and analysis and make sense out of it. In essence, companies can now get useful insights from data that drive healthcare business decisions. Watch out for health care to see a tsunami of big data services, as IBM and Apple are collaborating on a new health platform.

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3. 5 Strategic IT Steps: Use Data For Business Knowledge

By David Amerland, published on Forbes

Telling the right story with data

It’s not a lack of data that has organizations calling for improvement. Collecting data isn’t the problem. It’s knowing what to do with it. That’s set to change, as organizations glean insights from businesses harnessing the power of unstructured data. Organizations can improve operations when they are able to harness intelligent data, or the right information at the right time in order to make better business decisions. Responsive organizations will meet market challenges – in any industry.

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4. Does Torturing Your Data Into Submission Yield The Right Insights?

By Shelly Dutton, published on SAP

Without insight, data is useless

Insight from data is the oil that greases an organization’s wheels. In order to drive strategic business outcomes, however, organizations need to glean the right insights. New discoveries are challenging standard statistical equations, bringing science and statistics one step closer to gathering the best data for insights. As the demand for data insights increase, the need for a more skilled analytical labor force is essential.

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5. How To Make Big Data Actionable For Better Health Care Insight And Value [Infographic]

By the OptumVoice Team, published on Forbes

The big data picture

When big data is actionable, it holds a lot of promise for healthcare and pharma industries – just like it does for other industries. With the right insights, big data promises to improve patient care, lower operational risk and increase the bottom line. However, in order to reach this potential, organizations must work backwards. To deliver analytics that tell a story and hold value to the organization, big data must hold certain qualities. Namely, predictive, standardized, timely and preventive data are the key to quality insights.

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6. BI Tools Let Users Tap Into Big Data

By Sean McGrath, published on InformationWeek

Business intelligence and big data go together

Real-time data is the priority for any organization today. What was once acceptable practice of taking months to glean insights from data can’t stand up under the demand for timely data. Business intelligence systems designed to take unwieldy amounts of data and deliver quality data quickly must also have the ability to wade through a variety of data. New business intelligence tools are making this a reality, while at the same time, ensuring the integrity of the data.

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