Using speech recognition to create medical reports

Authors

  • Madalina-Elena Dinea (Cocean) Universitatea Politehnica Bucuresti, Luxoft România
  • Andreea Griparis Universitatea Politehnica Bucuresti
  • Inge Gavat Universitatea Politehnica Bucuresti

Keywords:

transcription, speech recognition, medical report

Abstract

Doctors spend about half of their time doing the paperwork and writing medical reports. The use of speech recognition in the creation of medical transcription applications aims to ease the work of medical professionals, freeing them from writing reports. Moreover, these reports contain a larger volume of information, with more details included, the information being added while the doctor examines the patient in the case of a medical consultation, respectively while analyzing the images obtained in the case of a medical investigation. Medical transcription solutions reduce the time needed to complete the reports related to a medical examination or investigation, giving the medical staff more time to focus on the patient.

References

LATIF, S., QADIR, J., QAYYUM, A., USAMA, M., YOUNIS, S., Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art, IEEE Reviews in Biomedical Engineering, 14, pp. 342-356, 2020.

RAMANARAYANAN, V., LAMMERT, A., C., ROWE, H., P., QUATIERI, T. F., GREEN, J., R., Speech as a Biomarker: Opportunities, Interpretability, and Challenges, Perspectives of the ASHA Special Interest Groups, 7, 1, pp. 276-283, 2022.

MOHAN, M., S., MATHEW, S., G., PAUL, S., NANDARAJ, V., A., ANIYAN, A., Analysis of Different Speech Recognition Toolkit for EMR, EasyChair Preprint 6316, 2021.

ZUCHOWSKI, M., GOLLER, A., Speech recognition for medical documentation: an analysis of time, cost efficiency and acceptance in a clinical setting, British Journal of Healthcare Management, 28, 1, 2022.

Nuance Dragon Medical One, https://www.nuance.com/healthcare/provider-solutions/speech-recognition/dragon-medical-one.html, accessed on 12.11.2024.

SayIt, https://www.vtexvsi.com/speech-recognition/sayit/ , accessed on 12.11.2024.

prognoCIS, https://prognocis.com/medical-speech-recognition/, accessed on 12.11.2024.

VoiceboxMD, https://voiceboxmd.com , accessed on 12.11.2024.

WebChartM, https://www.webchartmd.org/ , accessed on 12.11.2024.

Amazon Transcribe Medical, https://aws.amazon.com/transcribe/medical/, accessed on 12.11.2024.

AUGMEDIX, https://augmedix.com/ , accessed on 12.11.2024.

Introduction to Angular concepts, https://angular.io/guide/architecture , accessed on 12.11.2024.

Angular Material, https://material.angular.io/ , accessed on 12.11.2024.

Web Speech API, https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API , accessed on 12.11.2024.

pdfmake, http://pdfmake.org/#/ , accessed on 12.11.2024.

SmtpJS.com, https://smtpjs.com/ , accessed on 12.11.2024.

Elastic Email, https://elasticemail.com/ , accessed on 12.11.2024.

Published

2024-12-24