TietoEnator's EPR solution integrated with speech recognition gives cost savings

TietoEnatorThe clinical staff at the Norwegian hospitals of Sykehuset Telemark and Sykehuset Buskerud have a more effective daily life due to a new speech recognition solution delivered by Sykehuspartner in cooperation with TietoEnator and Max Manus AS. The new workflow is much simpler and faster, and gives substantial cost savings. The solution is the first in its field for clinical use in Norwegian hospitals.

Knut Lindås, the person responsible for the project at Sykehuspartner, said the solution has already got a lot of attention. The radiology departments were the first department to start using these types of solutions. The doctor can dictate his report direct into the journal and immediately acknowledge the dictation as journal text. The fact that the solution is now in use in other clinics of the hospital is a large and important step forward. The solution leads to simpler and faster sharing of valuable and sometimes critical information in the patient's treatment. Administrative resources, previously occupied with time-consuming journal handling and work, can now be released for other prioritized tasks.

TietoEnator's partner, Max Manus AS, together with Philips, has developed the core of the speech recognition solution. The company has done extensive work in preparing a vocabulary containing 64,000 words and medical terms. The speech recognition is now integrated into TietoEnator's electronic patient record system (EPR). The health region South will implement the solution in all hospitals in the region.

Studies of similar projects in other countries show that speech recognition integrated with EPR give substantial time and cost savings as well as a higher quality of data entered into the journal. TietoEnator has been delivering similar solutions to the primary healthcare market in Finland since 2004, and also to several hospitals in Germany. The company has also published a voice control solution for the Finnish and Swedish dental care markets.

TietoEnator is one of the leading healthcare and welfare ICT solution providers in Europe and the leading supplier in the Nordic region. The company offers state-of-the-art ICT solutions and IT services for healthcare and welfare service providers. The aim is to support healthcare and welfare sectors in digitalizing their processes, promoting seamless service chains and various regional co-operation models as well as an excellent return on invested solutions. TietoEnator has over 30 years of experience in these industries, employing over 1,200 experts in Denmark, Finland, Germany, India, the Netherlands, Norway and Sweden.

For further information, please contact:

  • Leif Arne Woldsund, Marketing manager, TietoEnator Healthcare & Welfare Norway, +47 21 70 60 00
  • Knut LindÃ¥s, Project responsible, Sykehuspartner, +47 971 72 319

TietoEnator is among the leading architects in building a more efficient information society and one of the largest IT services providers in Europe. TietoEnator specializes in consulting, developing and hosting its customers' business operations in the digital economy. The Group's services are based on a combination of deep industry-specific expertise and the latest information technology. TietoEnator has over 15 000 experts in more than 25 countries. www.tietoenator.com

Sykehuspartner, owned by the Norwegian health region South, was established October 2003. The background for the company was the need for more effective operation of support functions at the region's hospitals. Reduction of administration costs and deployment of more resources for patient treatments are other effects. Sykehuspartner delivers solution and services to the region's hospitals within the areas of purchasing, HR, information and communication technology (ICT). Sykehuspartner's vision is to bring a simpler 'everyday' for hospital employees with the delivery and deployment of services and solutions, releasing resources and increasing focus on quality in the hospitals' core business and tasks.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...