2019 OCT 08 (NewsRx) -- By a
“We were founded on a passion to help clinicians improve healthcare delivery significantly and save lives,” said
Effective new innovations designed specifically to help address the immense, ever-growing pressure on emergency departments is paramount. More than 145 million people are treated annually in emergency departments nationwide. The use of those departments has increased 35% in the past 20 years while the number of them has shrunk by about 11%, according to the
Proceeds from the financing will be used to expand the company’s customer care team as Mednition further scales commercial deployment of KATE, its flagship machine learning solution now in use at Adventist Health White Memorial (AHWM) in
Along with its funding, Mednition today formally introduced KATE and will be debuting it publicly for the first time at next week’s Emergency Nursing 2019, the premiere industry conference dedicated to emergency nursing. The conference is being held in
Over 70 emergency nurses at AHWM have been collaborating with KATE on triage acuity assignment serving an average of 160 patients per day. This real-time machine learning solution is easy to use, integrating seamlessly with all popular electronic health record (EHR) systems and existing triage processes. Triage nurses are regularly adding their expertise to KATE’s dataset of more than 10 billion de-identified patient clinical data points, making the system continually smarter.
“We have first-hand evidence that machine learning is improving healthcare delivery and saving lives,” said
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