Hayes' Healthcare Blog

Lisa English

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8 Things About Healthcare Analytics That May Surprise You, Part 2 of 2

Posted by Lisa English on June 22, 2016 at 9:00 AM

In last week’s post, Lisa English described the growing importance of healthcare analytics in dealing with large-scale initiatives like population health. She also outlined the important role analytics can play in solving the day-to-day problems of monitoring risk areas, supporting continuous risk assessment, and complementing limited compliance resources that organizations face every day.

In spite of the increased reliance on analytics, Lisa stressed that there is still much we need to learn. She outlined four things about analytics that might surprise you. Here are four more considerations surrounding analytics that you may not have realized.

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Topics: mdaudit, Healthcare Analytics, risk management

8 Things About Healthcare Analytics That May Surprise You, Part 1 of 2

Posted by Lisa English on June 15, 2016 at 10:00 AM

Yes, the terms “big data” and “analytics” are buzzwords, but they clearly highlight a shift toward data-driven decision-making with a real measurable impact on outcomes in many different industries. Savvy digital marketers now mine your digital breadcrumb trail to offer you more of what you like and attempt to discern what you need before you are aware of it yourself. This not only drives sales, but also actually helps consumers - if they aren’t “creeped out” by the “Big Brother is watching” when you post on social media then immediately see ads pick up on a word from your post. 

In the healthcare industry, the move to population health is just one obvious application for sophisticated analytics. As we appropriately engage our best and brightest in solving the core healthcare issues of our society, we find the key questions that analytics can help answer: What treatments drive positive health outcomes for patients? How can we curb wasteful, ineffective healthcare? Ultimately, why does the US spend more on healthcare than all developed nations while getting only mediocre healthcare outcomes when looking at our population as a whole?

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Topics: mdaudit, Healthcare Analytics, risk management

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