Literature DB >> 20827571

A basic study on application of voice recognition input to an electronic nursing record system -evaluation of the function as an input interface-.

Terutaka Marukami1, Shoko Tani, Atsuko Matsuda, Keiko Takemoto, Akiko Shindo, Hiroshi Inada.   

Abstract

As computerization in the nursing field has been recently progressing, an electronic nursing record system is gradually introduced in the medical institution in Japan. Although it is expected for the electronic nursing record system to reduce the load of nursing work, the conventional keyboard operation is used for information input of the present electronic nursing record system and it has some problems concerning the input time and the operationability for common nurses who are unfamiliar with the computer operation. In the present study, we conducted a basic study on application of voice recognition input to an electronic nursing record system. The voice input is recently introduced to an electronic medical record system in a few clinics. However, so far the entered information cannot be processed because the information of the medical record must be entered as a free sentence. Therefore, we contrived a template for an electronic nursing record system and introduced it to the system for simple information entry and easy processing of the entered information in this study. Furthermore, an input experiment for evaluation of the voice input with the template was carried out by voluntary subjects for evaluation of the function as an input interface of an electronic nursing record system. The results of the experiment revealed that the input time by the voice input is obviously fast compared with that by the keyboard input and operationability of the voice input was superior to the keyboard input although all subjects had inexperience of the voice input. As a result, it was suggested our method, the voice input using the template made by us, might be useful for an input interface of an electronic nursing record system.

Mesh:

Year:  2010        PMID: 20827571     DOI: 10.1007/s10916-010-9567-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  2 in total

1.  A usability framework for speech recognition technologies in clinical handover: a pre-implementation study.

Authors:  Linda Dawson; Maree Johnson; Hanna Suominen; Jim Basilakis; Paula Sanchez; Dominique Estival; Barbara Kelly; Leif Hanlen
Journal:  J Med Syst       Date:  2014-05-15       Impact factor: 4.460

2.  How do people think about the implementation of speech and video recognition technology in emergency medical practice?

Authors:  Ki Hong Kim; Ki Jeong Hong; Sang Do Shin; Young Sun Ro; Kyoung Jun Song; Tae Han Kim; Jeong Ho Park; Joo Jeong
Journal:  PLoS One       Date:  2022-09-23       Impact factor: 3.752

  2 in total

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