Machine learning can give healthcare workers a ‘superpower’

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With healthcare organizations around the world leveraging cloud technologies for key clinical and operational systems, the industry is building toward digitally enhanced, data-driven healthcare.And unstructured healthcare data, within clinical documents and summaries, continues to remain an important source of insights to support clinical and operational excellence.
But there are countless nuggets of important unstructured data – something that does not lend itself to manual search and manipulation by clinicians. This is where automation comes.
Getting insights from unstructured data
Arun Ravi, senior product leader at Amazon Web Services is co-presenting a HIMSS20 Digital presentation on unstructured healthcare data and machine learning, Accelerating Insights from Unstructured Data, Cloud Capabilities to Support Healthcare.
“There is a huge shift from volume- to value-based care: 54% of hospital CEOs see the transition from volume to value as their biggest financial challenge, and two-thirds of the IT budget goes toward keeping the lights on,” Ravi explained.
“Machine learning has this really interesting role to play where we’re not necessarily looking to replace the workflows, but give essentially a superpower to people in healthcare and allow them to do their jobs a lot more efficiently.”
In terms of how this affects health IT leaders, with value-based …

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