ID: 862- CLINICAL CASE STUDY The role of clinical speech recognition in improving quality, speed and turnaround of clinical documentation in acute care Simon Wallace1 Nuance Communications   INTRODUCTION 'Medicine' used to be simple, ineffective and relatively safe. Now it is complex, effective and potentially dangerous'[1]. This increased complexity has led to demand for detailed, quality and timely patient records. Research has found that clinicians are increasingly overwhelmed and demotivated by clinical documentation with up to 50% of clinician's time consumed by this task. This presentation describes the impact of introducing clinical speech recognition into the EMR in two clinical departments in two English NHS hospitals: Renal Department faced an acute shortage of clerical staff with turnaround time (TT) delays for outpatient letters. Emergency Department (ED) wanted to enable the clinical team to stay focused on patient care and improve patient throughput by easing the burden of clinical documentation. [1] Professor Sir Cyril Chantler, Honorary Fellow, ULC Partners  USE OF TECHNOLOGY AND/OR INFORMATION Speech recognition is a mature technology that provides a more natural and insightful approach to clinical documentation resulting in a faster, more detailed record while allowing clinicians to spend more time caring for patients. IMPLEMENTATION/PROCESSES A clinically driven speech recognition workflow was created, tested and implemented: Renal Department: structured OP letter directly in the EMR (Cerner Millennium). Outcome: Reduced TT reduced from 12 to 3 days. Adoption of EMR by clinicians over 80%. Improved quality of clinical content. Outsourced transcription costs reduced by 77%. Need for additional secretarial role avoided. More efficient use of clinician’s time. Patients and GPs received timelier clinical information. ED Department: Independent clinician perception study analysed the impact of speech recognition. Outcome: Over 90% felt speech recognition saved time and improved quality of documentation. Using speech recognition was up to 40% faster than handwriting or typing. Time savings in documenting care of 3½ minutes per patient - equivalent to gaining two full time ED clinicians over the course of a year. Speech recognition is now the preferred method of clinical documentation. Reduction in information-related delays and improved speed of communication. CONCLUSION  Speech recognition has a key role to play reducing the burden of clinical documentation in the acute hospital sector. Each deployment met its objectives. The OP study formed the basis for a business case recommending a hospital-wide implementation across all clinical specialties (2,500 staff) to meet the national TT target of 7 days. Following the ED department’s success, the hospital is planning to expand its roll out of speech recognition. All healthcare organisations should consider clinical speech recognition integrated into the EMR as a tool for enabling clinical documentation. It improves the quality and timeliness of clinical documentation, accelerates EMR uptake and adoption and frees up clinician time to focus on patient care. WHAT MAKES YOUR SUBMISSION UNIQUE? Demonstration of an industrial strength technology that will replace typing and handwriting of clinical documentation over the next 5 years. CORRESPONDENCE Simon Wallace Nuance Communications simon.wallace@nuance.com