data sharing

Tag: data sharing

PHEMI Partners with Discovery to Tap into New Data Sources for Enhanced Insurance Offerings

Leading global insurer, Discovery, deploys PHEMI Central Big Data Warehouse solution to unlock new insights and data-driven understanding of the links between behavior and insurance risk PHEMI, the company delivering big data solutions with built-in privacy, governance, and enterprise-grade management, today announced a partnership with global insurer Discovery Limited that will see the PHEMI Central Big Data Warehouse solution deployed by the South African-founded company. PHEMI will deliver a big data solution with built-in security, governance, and enterprise-grade management that

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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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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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Ten Considerations to Realize Enterprise-Grade Big Data Systems

By now, enterprises are familiar with the enormous promise of big data, and most have plans (or at least a wish) to implement it. Even so, very few organizations have rolled it out. Why? To the cautious enterprise, big data systems still seems like the Wild West—there are all these open-source components, not fully integrated, that seem like they’ll require an army of Hadoop programmers. The workflow with existing tools and analytics tools seems hard to visualize. Moreover, at the same

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Balancing Privacy and Access to Information

Privacy Traditionally, privacy of Personal Health Information (PHI) has been largely managed by using password/username–based access control lists. Personnel are entrusted with the passwords as they extract data and then clean, modify, de-identify, and analyse the information. As a result, today, organizations rely on their employee’s best judgement to safeguard information. This method is somewhat effective, but far from excellent. Employee error is the top security threat for 75% of healthcare organizations (HCOs) in the US, according to the Ponemon

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