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Turnkey Hadoop? Yes, It’s Possible.

As you already know, there are big benefits to big data, and the first step to capitalizing on them is getting an efficient data architecture (including your traditional systems AND big data) up and running. But what’s the best way to build that warehouse? In our last blog, we discussed the many questions and complications that arise when you want to go DIY and build the warehouse yourself. But what about a pre-integrated solution? A turnkey solution won’t be as

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Maybe Don’t Try This at Home: The Pains of DIY Hadoop

So you want to get started with big data. Excellent! It’s easy to see why. From 360-degree customer views built from past transactions and social media feeds, to the ability to analyze thousands of processes and identify inefficiencies, to uncovering brand new connections by bringing together all your formerly disparate data sources, big data means big rewards for organizations across industries. For these reasons, the why is obvious. It’s the how that often proves more elusive. How do you get

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Big Data Benefits to Researchers

This fall Roy Wilds, Chief Data Scientist at PHEMI, and Rebecca Laborde, Principal Field Scientist at Oracle, shared their first-hand experience with big data in a webinar. Their perspective, along with those of other industry leaders in the field, illuminate the many ways healthcare researchers can benefit from big data. Big data provides so many opportunities to researchers to: Collect all their diverse data together, regardless of size. “There’s no such thing as small data anymore… Everything has grown in

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Checking in on Big Data Growth in Healthcare

Three years out from the famous McKinsey study that rocked the healthcare world, claiming that big data growth in healthcare could lead to anywhere from $300 to $450 billion in savings, it’s time to do a brief check-in. How far along are healthcare organizations when it comes to big data?  What does the near future look like? Business Wire recently reported that, according to Research and Markets’ study “Big Data Analytics In Healthcare Market – Forecast (2016-2021)”, “big data in the

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Value-based reimbursement and the Data-Driven Healthcare Organization

The shift is underway. It’s a near ubiquitous fact that healthcare organizations are migrating away from pay-for-service models and towards value-based care. A 2016 McKesson survey found that payers report being “58% along the continuum toward full value-based reimbursement, a sharp 10% increase since 2014,” while “63% of hospitals are [now] members of ACOs, which is an 18% increase over 2014,” and a remaining 47% of hospitals “plan to join an ACO in the next five years.” In 2015, Healthcare

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Why Choose PHEMI for Your Big Data Healthcare in the Cloud?

You’re already imagining how you can harness big data to spur new discoveries and gain new insights. And you know you want the flexibility and simplicity of the cloud. It’s time to get started. The good news is that the industry has made huge strides in recent years, both with big data technology and the emergence of healthcare in the cloud service providers that can meet the rigorous demands of clinical operations and research. If you’re ready to make the

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The Healthcare Cloud Big Data Checklist

You’re ready to start capitalizing on your data to uncover new insights. And you’re sold on the cloud to make big data simpler to implement. But not all big data platforms—and not all clouds—are the same. If you’re going to fast-track your journey to data-driven healthcare innovation, be sure your solution checks all of the following boxes.   [_] Is the solution production-ready? With advances in Hadoop and open-source big data tools, it’s relatively easy today to build something that

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Big Data in the Healthcare Cloud

You can do amazing things when you capitalize on your data—uncover new operational efficiencies, drive transformative research, deliver targeted genetic therapies, and much more. To do all of this, you’ll need two core things: an effective big data system that aggregates all your organization’s data in one place, and a way to allow more people to access it. Many healthcare organizations are finding that the answer to both requirements lies in the healthcare cloud. Modern cloud-based big data platforms address

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Big Data for Healthcare: Deployment Challenges

A growing number of healthcare leaders recognize the huge potential of big data technology to fuel new innovation. If you’re among them, you’re already ahead of the game. But what’s the next step? Where do you go from here? As you embark on your big data for healthcare journey, here are some of the most important considerations to keep in mind. DIY vs. Integrated Solutions The first question to answer is whether to buy a pre-integrated big data system or

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Capitalizing on Analytics Means Protecting, Securing, and Sharing Your Data

By Adam Lorant, VP Product and Solutions, PHEMI Modern data science and analytics hold the potential to transform healthcare—from helping hospitals operate more efficiently, to identifying precision medicine targets, to evaluating public health initiatives, and more. All of these advances, however, depend on sharing data. It’s not enough to collect more information. If you can’t share it—with analysts, investigators, partners, clinical decision-makers—you can’t capitalize on it. But, as you collect and share more data, you have a legal and ethical obligation

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