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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.   1. 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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The Time Is Now for Healthcare Big Data

Healthcare big data can power amazing advances. By analyzing vast quantities of genomic data, clinical records, and healthcare business intelligence, researchers can discover new targeted therapies, identify disease risk factors, improve hospital operations and much more. But all of that depends on one basic premise: more people (clinicians, researchers, analysts) having access to much more information. And that’s far from the reality today. The biggest issue: fragmented data. In most healthcare organizations, data is spread out across multiple servers, databases,

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Top Five Things I Will Not Miss at HIMSS16

This year’s HIMSS16, like every year, brings 1300+ health focused technology leaders together to experience exceptional education, world-class speakers, innovation in health IT products and strategic networking opportunities. With more than 300 educational programs, keynotes, and thought leader sessions, there is a lot to see and hear. I thought I’d share my ‘must see HIMSS16 sessions’ to help in your pursuit of big data initiatives and business-driven/consumable analytics. Analytics is proving to have huge potential in helping healthcare organizations, but

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