News
Ulleval University Hospital rolls out hospital-wide speech
recognition
9 April 2008
Ulleval University Hospital in Oslo, Norway’s largest clinical
centre, will roll out the Philips’ SpeechMagic to more than 1,000
physicians across all medical specialties.
When completed at the beginning of 2009, the implementation is
expected to be the world’s largest deployment of front-end speech
recognition at one single hospital site. Speech recognition is expected
to increase the quality of medical reports, speed up documentation
workflows and reduce administrative costs, which can result in improved
patient care.
The hospital-wide deal, which came through the local Philips Speech
Recognition Systems partner Max Manus, was triggered by a successful
implementation in Ulleval’s radiology department, where report
turnaround time was reduced by 96%.
“We see patient safety as the most important advantage of this
technology”, said Jens Grøgaard, Ulleval University Hospital’s clinical
manager. “Every department will have full access to critical patient
information, which helps to significantly improve the quality of care.
Since the report is printed instantly, the entire team involved in
delivering care to a patient can rely on accurate, written information.”
“We are expecting to save tens of millions of Norwegian crowns each
year thanks to more accurate, convenient and efficient information
capturing. By allowing our physicians to directly dictate into the
electronic medical record, the entire hospital will benefit from a
streamlined flow of information,” highlighted project manager Andreas
Atteraas Grønbekk.
“Norway is probably the world’s most advanced country regarding the
adoption of speech recognition-based information capturing in
healthcare. The scale of this latest deployment proves that speech
recognition-based information capturing in electronic health records has
become a reality and the verbal interaction between physicians and IT
systems can help reduce adoption barriers,” said Björn Aune, sales
director Nordics for Philips Speech Recognition Systems.
|