Blog Post

Do doctors fear AI? Not the hundreds I work with around the world

Headlines abound about doctors cowering from AI. The reality: not so much. I’m a physician, and don’t think that’s a realistic concern. Rather, I envision a future in which AI-enabled insights help health and medical experts deliver patient-centered, personalized, value-based care. The future is here. For those of us at IBM, we are augmenting experts’ […]

Risk Stratification – Lessons Learned

Nirav Vakharia, MD, Associate Chief Quality Officer of Enterprise Quality and Vice Chairman of Population Health at Cleveland Clinic explains the rationale for clinical risk stratification, guidance on how to better identify and define chronic disease cohorts, and the impact on quality and utilization.

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Interoperability in the Age of Population Health Management – Part 2

In part one of this two-part series, we explored the issues pertaining to data integration. In part two, we explore workflow integration. In addition, we look at technology known as Fast Healthcare Interoperability Resources (FHIR), and how it will facilitate the integration of outside applications with electronic health records to support population health management.

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Cognitive Computing in IBM Watson Health: Research and Development

Listen to the replay of this webinar "Cognitive Computing in IBM Watson Health: Research and Development" with Eric Brown, PhD, Director Foundational Innovation at IBM Watson Health and Jianying Hu, PhD, Distinguished RSM and Senior Manager, Center for Computational Health at IBM Research.

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Interoperability in the Age of Population Health Management – Part 1

This two-part series reviews how today's technology can address challenges in data infrastructure

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The Impact of the Cloud in Healthcare, Today and Tomorrow

In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a renewed – and some would say sharpened – focus on improving patient engagement and health outcomes. As a result, many are exploring how an enterprise health cloud can support these efforts. What are they looking for? Health […]

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Value-Based Healthcare: Using Predictive Analytics to Forecast Risk and Outcomes

Healthcare delivery already relies on a variety of predictive analytics. More advanced models, including cognitive computing, are now entering the market to help improve healthcare outcomes.

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Meaningful Population Health – The Need to Go Beyond EHRs for Success

How can healthcare systems create the interoperability needed to aggregate and analyze data from disparate sources to effectively manage population health?

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The Importance of Disaster Recovery in Healthcare

Why is disaster recovery important in healthcare? Because patient lives depend on it. Although this answer may seem simple, healthcare organizations often overlook the importance of planning for the worst. The reality is that patients’ lives depend on healthcare data being available to their doctors. Lack of access to that information – because of a […]

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Managing Population Health and Avoiding Physician Burnout: Can You Do Both?

Listen to this replay of the webinar "Managing Population Health and Avoiding Physician Burnout: Can You do Both?” with Paul DeChant, MD, MBA, Senior Advisor at IBM Watson Health and Bridget Searles, RN, MS, Clinical Sales Consultant at IBM Watson Health.

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One Billion Images in the Cloud: A Merge Milestone

One billion images in the cloud. It’s a milestone that’s difficult to envision but easy to take pride in. Merge recently hit this mark – with over 100 clients – securely storing a billion images in our iConnect® Cloud Archive. And while milestones can mean different things to different people (and organizations), at Merge, this […]

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Momentum Builds for IBM Watson’s Moonshot

The World Health Organization reports the number of new cancer cases is expected to rise by about 70 percent over the next two decades even as there is a shortage of cancer doctors around the world.

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How Watson Helped in my Battle Against Lung Cancer – IBM Watson Medical

In his battle against cancer, TJ has been working with the team of oncologists at Jupiter Medical Center since his diagnosis using IBM Watson for Oncology.

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