To accelerate the shift to value-based care, be prepared to think outside the box

Travis Frosch

Value-based care is real. The shift is happening now.

In the early stages of this shift, the ongoing explosion of data collection capability has been a huge boost to the industry’s efforts. We’re making good progress applying data from electronic medical records (EMRs) and financial systems, such as structured claims data, to increase value on a macro level – managing the health of populations more efficiently and effectively.

But as we get deeper into value-based care, what’s next? How will we continue to advance the triple aim of improving clinical effectiveness, increasing patient satisfaction and reducing the cost of care?

Once you – and your competition – have solidified your population health strategy, you’re still going to have to keep improving margins, cutting costs, increasing throughput, etc. Soon, sustaining your momentum in the shift to value-based care will require you to uncover different data sources and use that data more effectively.

Where’s that data going to come from? You’ll need to think outside the box.

A giant, mostly untapped source of data
This box I’m thinking of is a big one, it’s all your clinical equipment – your CT scanners, MRs, digital X-rays, EKG machines, etc.

Traditionally, we’ve been focused on the data inside this box, asking: “How do I get more from my devices and hardware?” This approach has led to significant improvements in image quality and many other key parameters. Rest assured GE Healthcare will keep driving these vital innovations.

But now it’s also time to ask: “How do I access and utilize data outside of that box?”

These devices, which have traditionally been used to generate only clinical information, have the potential to be a treasure trove of actionable data. By thinking outside the box, beyond imaging technology improvements, you’ll get data that will take your value-based care efforts to the next level.

You’ll be able to understand questions like:

Why was this X-ray rejected? What specific type of machine was it performed on? What was the location of that machine? What was the model number? Who was the tech? Is there a specific technical reason that the X-ray has been rejected on these devices? Is it a training issue?

You’ll be able to look at your machines in reference to operational throughput to better understand full fleet utilization, develop contingency plans and get an analytics perspective on volumes.

The brains and the body
Not too long ago, GE CEO Jeff Immelt stressed the importance of analytics in healthcare. He talked about the “brains and the body,” with analytics being the brain and hardware being the body.

With 125 years of innovation, GE has the body – the industrial equipment that we’ve always built. And now we have the brains – including an ongoing $2 billion investment in healthcare digital technology development.

This body and brains approach – at the intersection of industrial and digital – is where the action is and will be. As the shift to value-based care continues, we’re ready to help providers leverage data wherever, whenever and however possible to accelerate success.

Are you ready?

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