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.
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http://dx.doi.org/10.1186/s12911-016-0374-4 | DOI Listing |
Nat Commun
January 2025
Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. This can be attributed to the significant time and energy penalties incurred in implementing nonlinear activation functions that are abundant in such models.
View Article and Find Full Text PDFCureus
January 2025
College of Medicine, Department of Otolaryngology - Head and Neck Surgery, University of Jeddah, Jeddah, SAU.
Objectives: Hearing impairment during childhood is a widespread health issue. Prompt recognition and timely intervention are vital for the advancement of language skills. Insufficient parental knowledge can lead to a delay in diagnosing and treating a condition, which can have a negative impact on academic performance.
View Article and Find Full Text PDFInt Arch Otorhinolaryngol
January 2025
School of Medical Sciences, Santa Casa de São Paulo, São Paulo, SP, Brazil.
Minimally invasive Ponto surgery (MIPS) enables the installation of percutaneous bone-anchored hearing implants (BAHIs) with a drill guide through a hole punch incision. Despite being well established for adults, there is a lack of studies in the literature regarding its use in pediatric patients. The aim of the present study was to investigate the hearing performance and soft-tissue outcomes of the use of MIPS under local anesthesia in children with unilateral craniofacial malformation (UCM).
View Article and Find Full Text PDFLaryngoscope
January 2025
Department of Otolaryngology/Head & Neck Surgery, University of North Carolina School of Medicine, Chapel Hill, North Carolina, U.S.A.
Objectives: Bimodal cochlear implant (CI) users vary in speech recognition outcomes. This variability may be influenced partly by the CI and contralateral hearing aid (HA) programming procedures, which can result in mismatches in latency and frequency. We assessed the performance of bimodal listeners when latency mismatches were corrected and analyzed how frequency mismatches influenced outcomes.
View Article and Find Full Text PDFNat Commun
January 2025
Los Alamos National Laboratory, EES-17 National Security Earth Science, Los Alamos, NM, 87545, USA.
Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault shear, then successfully extended to slow-slipping faults. Here we apply the Wav2Vec-2.
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