Category Archives: Uncategorized

A real-life application for artificial intelligence in health care

Artificial intelligence (AI) is everywhere. It’s in our shopping experiences, our search engines, our dining and entertainment recommendations. We’ve seen AI-based medicine on TV for decades, and we can make that a reality — if we go deeper. I’m more excited than ever about the possibilities of AI in health care, but we need to […]
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An expert viewpoint: Five questions to evaluate your HEDIS performance

If you are feeling relieved (and perhaps somewhat exhausted) now that your HEDIS submissions are in for the year, you are not alone. But if you want to be even more successful with your HEDIS effort next year, take action now to evaluate what went well, what didn’t, and how you can improve moving forward. […]
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Discover the what, why and how of natural language processing

Stale jokes about doctors’ bad handwriting aside, mounds of health care data are actually stored in difficult-to-read physicians’ notes and text fields. That makes natural language processing (NLP) particularly relevant to health care. What is NLP? It’s a branch of artificial intelligence (AI) technology focused on allowing computers to understand and interpret human language. Why […]
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Uncovering fresh insights to address health care challenges through collaboration

Data can do more than help you spot emerging trends or measure outcomes. It can uncover the cause of an emerging trend or determine whether a measurement is aimed at the right metric — one that truly affects outcomes and costs. This next-level data usage requires more than access to a lot of data. It […]
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Confirm patients’ medical memories to develop complete health histories

Can you remember what you wore to work last Thursday? How about what you had for lunch yesterday? We humans aren’t particularly great at recalling details. Study after study shows it. Colonoscopy patients don’t remember details of their procedures when more than a year has passed, according to a report in Healio. How about hip […]
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Let’s start talking

Optum® wants to know: What confuses you about analytics and big data? What value-based health care strategies work for your organization? What are your questions about population health strategies? To explore these topics and many more related to the changing health care industry, Optum is offering the blog Health Care Conversation. Leaders from inside Optum […]
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The hospital of tomorrow will focus on population health

The rate of change in health care seems to be accelerating each year, and provider organizations such as Aurora Health Care are challenged to keep pace with the change. Aurora’s Sylvia Meltzer, MD and Laura Spurr MS will be discussing at the U.S. News Hospital of Tomorrow Forum how their organization is using big data to transform for […]
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How value-based provider-payer partnerships can work

As the health care market changes, we are starting to see new partnership models that strive to improve costs, health outcomes and patient satisfaction. These new partnerships are between unlikely bedfellows: physicians and payers; physicians, hospitals and payers; and hospitals and payers. Increasing numbers of these new partnerships are leading the way in reimbursement and […]
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Looking for Proof That ACOs Will Work? It Already Exists.

The rap on accountable care organizations (ACOs) is that there is no evidence to demonstrate they will control costs. I’d say the evidence is right under our noses – right in an analysis by the Congressional Budget Office (CBO). Earlier this year the CBO published an assessment of the Centers for Medicare & Medicaid Services […]
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Commercializing the Fee-For-Value Investment – Part II: How to do it

In my previous post, I talked about the need for providers to commercialize their investments in the new fee-for-value model. The new model requires significant investment in population health management solutions, analytical and technology infrastructure and network management capabilities. Providers need to think about growth in their market share to reduce the per member per […]
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