Clinical documentation solutions for nurses
Reduce the time nursing staff spend on administration with Nuance’s AI-powered clinical speech recognition solutions.
Reducing administrative burden for nurses
Clinical speech recognition technology helps alleviate the burden of clinical documentation for hospital staff.
Concerns & benefits
Nurses are cutting time spent on clinical documentation and freeing up more time for patient care with speech recognition
Nurses spend over 50% of their time on clinical documentation and 64% of that time is spent on narrative (‘unstructured’ notes). Nuance’s speech-to-text solutions reduce workload pressures, enabling patient notes to be accurately and efficiently captured in the electronic patient record (EPR) system and freeing up valuable time for patient care.
Improved nurse satisfaction
Research indicates that 85% of NHS healthcare professionals see the burden of clinical documentation as a significant contributor to burnout. AI-powered speech recognition is dramatically cutting the time clinicians spend on documentation, freeing them to spend more time on patient care.
Optimised and utilised EPR
AI-powered speech recognition and auto-text templates improve the quality of clinical notes and the richness of EPR data. Nuance speech recognition can also be used to navigate EPR systems more easily and to generate voice-driven content—including emails—outside the EPR.
Deliver clinical notes faster
With speech recognition, notes are dictated directly into the EPR, helping nurses reduce report turnaround time and deliver clinical notes faster to peers. This expediency improves the patient experience as clinic letters are completed faster.
Reduced administrative costs
In addition to reducing document turnaround times, speech recognition also helps hospitals and clinics to significantly reduce administrative costs and eliminates the need for expensive outsourced transcription services.
Impressive outcomes start here
3x
Dictation is at least 3x faster than typing and nurses are saving hours per week with clinical speech recognition.
89%
89% of nurses surveyed at Concord Hospital said that use of speech recognition improved their job satisfaction.
40+ mins
Paediatric nurses at one NHS Trust estimated savings of at least 40 mins per patient per day with speech-to-text software.
Solutions
AI solutions that empower nurses
Nuance solutions help provide greater accuracy, efficiency, and flexibility for nurses.
Documentation capture solutions
Dragon Medical One is a secure, cloud-based clinical speech recognition solution that accurately and efficiently captures the patient story into all major EPR platforms.
Diagnostic
PowerScribe 360 is the leading real-time radiology reporting platform and is speech-enabled.
Optimisation services
Nuance Professional Services help you improve solution adoption, accelerate ROI, and get the most from your Nuance investment.
Resources
Webinar replays
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Calderdale and Huddersfield Trust and Royal Cornwall Hospitals(Open a new window)
Hear how Nuance supports these NHS Trusts, during the Covid-19 pandemic and beyond. -
Oxford University Hospitals(Open a new window)
Dr Paul Altmann demonstrates the value of speech-enabling your hospital EPR.
Case studies
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Concord Hospital, USA(pdf. Open a new window)
See how Dragon Medical One improves nurse satisfaction and documentation quality.
Videos
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Dragon Medical One cloud-platform for clinical documentation
Forget about typing! Update your EPR quickly and accurately with Dragon Medical One. -
Reduce the admin burden and avoid burnout
Learn how speech recognition helps alleviate the burden of clinical documentation. -
Dragon Medical One
A short introduction to AI-powered, Dragon Medical One, clinical speech recognition.
White papers
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Nurses and the clinical documentation challenge(pdf. Open a new window)
A report looking at the documentation challenges, opportunities and the role technology can play. -
Market research into UK clinician burnout(pdf. Open a new window)
Assessing the impact of Covid-19 on clinical admin and burnout in the UK NHS.