The place of speech recognition in patient clinical information transfer in nursing

Joint Event on 49^th World Congress on Advanced Nursing Research & 27^th International Conference on Clinical Pediatrics

June 10-11, 2019 Berlin, Germany

Maree Johnson

Australian Catholic University, Australia

Posters & Accepted Abstracts: J Nurs Care

Abstract :

Throughout a series of research projects, conducted over 10 years, the practicality of introducing speech recognition into the management of clinical nursing information has been examined. An initial study began whereby the principles of quality documentation for nursing were explored using a metasynthesis of the literature identifying 7 principles of quality nursing documentation (eg., patient centred, reflect the work of nurses, contain objective clinical judgement etc). An examination of 67 patient records using the as Nursing and Midwifery CAT, highlighted areas for improvement. A study of observed and recorded clinical handovers (n = 195) from speciality and general wards followed, developing a Nursing Handover MDS and electronic module within the clinical information system, which was implemented into 10 hospitals (11000 nurses).Whether one set of clinical information could be defined from both the patient health care records and handover transcriptions (n = 162) was then examined. The verbal patient clinical handover was more comprehensive than the written (electronic) nursing notes with similarities in the content, supporting one set of clinical information. Three further studies were conducted: testing the acceptability of speech recognition technology to nurses, undertaking a systematic review of the use of speech recognition technology in health, classification of words and phrases (using Protégé Software) into a set of domains to form fields within a patient healthcare record, and machine learning of words and phrases for classification within the set domain,s resulting in 65% correct classification. There is potential for nurses, using available speech recognition software to present clinical handover to oncoming nurses, while delivering simultaneously the nursing notes for the electronic patient health care record, for final approval. This presents a brave new world for nurses although the challenges to implementation are substantial.

Biography :

E-mail: maree.johnson@acu.edu.au