Big Data Analytics Skills to Play Crucial Role in Healthcare Growth

Healthcare executives who are hoping to grow their organizations largely believe that Big Data is the way forward.

A new survey carried out by SAP and Oxford Economics revealed that nearly 70 percent of leaders in the healthcare field believe that health IT tools will be essential when it comes not only to organizational growth but also enhancing customer experience.

The survey also shows this is more than just talk; three quarters of those who responded said they’ll be increasing big data analytics tool investments during the next two years in their pursuit of excellence.

It’s clear there is still plenty of room for improvement in this area, with only 2 percent of those polled saying they had already completely finished their digital transformation and just a third saying they’ve finished some mission-critical tasks. By and large, most are still in the process of piloting innovative tech – with 54 percent falling into this category – while 23 percent are still making their plans.

Reaching Goals

Almost half of organizations reported that they were being held back by immature technologies, and more than half said that an inexperienced workforce was a top concern.

Similar trends were seen in earlier surveys, where concerns were expressed about a shortage of qualitied talent like data scientists, informaticists, and data visualization experts. Such specialists with big data skills are needed for crucial tasks like developing programs for business intelligence, optimizing electronic health records, and delivering actionable insights to the organization’s end users.

Many healthcare organizations are pinning their hopes on partnering with health IT and big data vendors. Most are looking for products with a proven track record that are backed by established companies. Indeed, vendor expertise was cited as a top criterion for choosing technology by just shy of 80 percent of executives, while around three-fourths were focused on product quality, interoperability, and ease of integration with legacy tools.

This blog post was based off of an article from Health Analytics. View the original here.

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