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Background/Aims Over the last 20 years, innovation in digital health technology have been propelling health systems forwards. With the advent of the electronic health record, digital prescribing and artificial intelligence and machine learning comes new opportunities. The use of voice recognition systems in the transcription of rheumatology clinics has the potential for cost and time effectiveness which is ever important within the NHS. Here we review the use, user-interface acceptability and potential cost savings. Methods In speech recognition software the speech is converted to a sequence of words in written text. This is not a new technology and in particular has been widely used within radiology departments across the UK. Rheumatology is largely a clinic-based specialty, with high output of clinic letters. Speech recognition software removes the need for transcription-based services. As a new technology we have reviewed its use within the rheumatology, dermatology, endocrinology, renal and paediatric departments at a large district general hospital. Results 143 staff members have been provided with a license and on average 64% are regularly using the available software. Over 3 months an average of 14,843 minutes per month of dictation has been completed. It has been estimated that over 12 months’ use there has been £100,000 savings through administerial time saved. The average turnaround time for clinic letters from dictation to delivery (electronically) to GPs has improved from approximately 1-2 weeks (but delays up to 4 weeks seen) to an approximately 24-36 hours. Preliminary data from users of this software suggest that compared to traditional dictation devices: 33% found it ‘much better’, 33% ‘better’ and 33% ‘the same’. 67% of participants found it ‘easy, or very easy’ to use whilst 16% found it ‘difficult’. 50% of participants found it ‘usually’ saved time, 33% ‘sometimes’ and 16% ‘rarely’ saved time. Conclusion This preliminary data suggest potential time and cost savings with largely positive feedback from users. Further work is needed to assess potential patient safety issues including errors and inaccuracies compared to traditional dictation means. We aim to complete this work prior to presentation of this abstract should it be accepted. Disclosure H. Crawshaw: None. S. Jamal: None. R. Andev: None.

P125 The advancement of digital health technology in the outpatient setting, is speech recognition software useful?