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Home Digital Transformation

When Implementing AI-Driven Programs Remember that Data is the Differentiator and Driver of Success

by Jackie Davis
September 17, 2019
in Digital Transformation
Reading Time: 3 mins read
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Data is the Differentiator
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Healthcare systems across the country are turning to artificial intelligence (AI) to help solve some of today’s most intractable medical and administrative problems. But while IT leaders and clinicians will spend many hours researching apps and solutions there’s some important work to be done before making that investment. What’s become clear based on the experience of early adopters in the healthcare field, is that data is the differentiator and key driver of success when it comes to being AI-ready.

With hundreds of millions of dollars slated for investment by healthcare systems to take advantage of this truly revolutionary technology, to fully capitalize on the savings that come with automating manual processes, speeding the time to market for gene therapies and improved drugs, it’s imperative to have the right foundations in place. After all, AI-driven technology can only deliver results as good as the data that feeds it.

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With so much riding on the success of AI, how can healthcare organizations ensure that they are AI-ready?

A new eBook from NetApp takes a deep dive into the impact that AI will have in healthcare in the coming years. Through four primary areas – medical imaging, patient care, healthcare management, and research and development – where AI is poised to make the biggest impact in healthcare the eBook explores the use case, the benefits, and the building blocks for success.

Regardless of whether AI is being used by radiologists to hasten the reading of medical images or as a second set of eyes to reduce human errors in surgery it’s not just a large data set that’s needed for success, but an efficient and effective data pipeline. To fully capitalize on the potential of AI the healthcare organization needs to be able to facilitate not only access to data from multiple sources, but also prepare it, move it, and secure it regardless of whether the data is stored at the edge, the core, or in the cloud.

“AI isn’t about machines churning out answers, it’s about unlocking the value of data. It’s about developing insights and knowledge that can be put to work for the good of the patient and provider that were previously unrealistic in terms of time and complexity,” shared data expert Mike McNamara Senior Manager, Product & Solution Marketing at NetApp. “Our healthcare customers have shown that there’s no question about the benefits AI is delivering today and by building a strong data-driven foundation AI will make a far bigger impact in the future.”

Ready to get started? You can do that here.

Tags: AIartificial intelligencedisease detectionEHRelectronic health recordsgenomicshealth IThealthcaremedical imagingNetApppatient care
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