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Technology / Data Centre

NHS Trust gives a big thumbs up to BigHand

Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) has chosen BigHand’s digital dictation technology, saying it should help save time, increase productivity and improve the delivery of care across the Trust.

BigHand’s offering, which is being rolled out in stages, has replaced the Trust’s previous analogue tape-based method of recording and transcribing clinical notes.

The Trust, which provides mental health services, children’s community services and learning disability care, chose to partner with BigHand; a specialist provider of digital dictation, speech understanding and clinical correspondence solutions to speed up its workflow processes and ultimately improve patient care.

Gerhard Smith, project manager at CPFT, said: "The initial stage will constitute the bulk of the licenses and will range from clinicians, consultants to administrative staff. The next stage will see the roll out of additional licenses as required and, in parallel, we will start a pilot to trial speech recognition to further realise the full benefits offered by the BigHand systems."

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The new system, which includes a number of smartphone users, is hoped to show benefits that include timely access to patient dialogue, monitoring and treatment plans using their mobile devices, helping the trust to deliver operational efficiencies and achieve associated cost savings as well as providing more personalised, real-time patient care.

Following the complete implementation, and assuming clinicians are seeing the benefits of the solution, the Trust will look to introduce BigHand’s voice recognition technology to enable clinicians to compose written documents using their voice, which will deliver further efficiencies and cost savings, according to the organisation.

"Once all staff are trained and are comfortable in using BigHand’s dictation technology, we will look to introduce voice recognition into the Trust," said Smith. "Ultimately, it’s the complete work cycle that we see will give us the biggest benefits and we are hoping for real cost savings once the voice recognition technology has been implemented. We hope for the complete integration to be realised over the next three years."

 


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