Title |
Introduction of digital speech recognition in a specialised outpatient department: a case study
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Published in |
BMC Medical Informatics and Decision Making, October 2016
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DOI | 10.1186/s12911-016-0374-4 |
Pubmed ID | |
Authors |
Christoph Ahlgrim, Oliver Maenner, Manfred W. Baumstark |
Abstract |
Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for implementing a speech recognition software package at a university-based outpatient department is presented. Methods to create a specific dictionary for the context "sports medicine" and a shared vocabulary learning function are demonstrated. The approach is evaluated for user satisfaction (using a questionnaire before and 10 weeks after software implementation) and its impact on the time until the final medical document was saved into the system. As a result of implementing speech recognition software, the user satisfaction was not remarkably impaired. The median time until the final medical document was saved was reduced from 8 to 4 days. In summary, this case study illustrates how speech recognition can be implemented successfully when the user experience is emphasised. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 15% |
Researcher | 3 | 11% |
Student > Ph. D. Student | 3 | 11% |
Student > Bachelor | 2 | 7% |
Lecturer > Senior Lecturer | 2 | 7% |
Other | 5 | 19% |
Unknown | 8 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 3 | 11% |
Computer Science | 2 | 7% |
Psychology | 2 | 7% |
Engineering | 2 | 7% |
Medicine and Dentistry | 2 | 7% |
Other | 4 | 15% |
Unknown | 12 | 44% |