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Introduction of digital speech recognition in a specialised outpatient department: a case study
Christoph Ahlgrim1,2, Oliver Maenner3,4, Manfred W Baumstark5,4
1Center for Medicine, Institute for Exercise- and Occupational Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. christoph.ahlgrim@uniklinik-freiburg.de.
Background:
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:
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.
Results:
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.
Conclusion:
In summary, this case study illustrates how speech recognition can be implemented successfully when the user experience is emphasised.
