Speech recognition software producing time savings within South Tees emergency department

Speech recognition software is helping clinicians within the Emergency Department (ED) at South Tees Hospitals NHS Foundation Trust save time and improve the quality of patient records, a new report has revealed.

The study, by software company Nuance Communications, shows that using speech recognition software is 40% faster than traditional methods of documenting clinical records.

Surveying 44 clinicians, the study took place across May and June 2017 and assessed the impact and outcome of integrating the Nuance Dragon Medical EMR software into the EPR of the emergency department.

The time savings for every patient over the course of a year is equivalent to gaining almost two full-time clinical staff in the ED.

The results from the study showed that the use of speech recognition reduced time spent documenting care, boosted the quality of the patient record and improved the speed of communication.

The speech recognition software is also helping to improve the quality of the patient record with 86% saying that it enabled more complete patient notes. More so, nine out of 10 clinicians felt that using speech recognition compared to handwriting and typing saved time, improved the quality of the notes and increased the speed of communication with others.

A previous study commissioned by Nuance showed that 50% or more of a doctor’s time is spent on clinical documentation.

Commenting on the findings, Dr Andrew Adair, ED consultant and CCIO, South Tees Hospitals NHS Foundation Trust: “Speech recognition has transformed our ED, releasing our doctors and nurses from the shackles of clinical documentation and enabling them to spend more time treating patients.”

 

 

 



Reece Armstrong is a reporter for Digital Health Age. Coming from the North East of England, Reece has an MA in Media & Journalism and a BA in Popular & Contemporary Music from Newcastle University. Reach him on Twitter or email via: reece.armstrong@rapidnews.com


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