Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial  Intelligence and Edge Computing

Kriti prasad; Dr. A. Sasi Kumar

Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing

October 2024

Vol-10, Issue-5

Paper ID: 25073

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

computer engineering

Keywords

Speech-to-Text (STT) Edge Computing Real-Time Medical Transcription Healthcare Documentation Electronic Health Records (EHR) Latency Reduction Data Privacy HIPAA Compliance Natural Language Processing (NLP) Medical Terminology Recognition Machine Learning in Healthcare Mobile Healthcare Applications.

Abstract

In healthcare, timely and accurate clinical attestation is vital for perfecting patient care, streamlining executive tasks, and icing compliance with nonsupervisory norms. Traditional styles of attestation, similar as homemade note- taking and codifying, are hamstrung and frequently prone to crimes. To address this challenge, this paper presents the development of a new speech- to- textbook (STT) medical operation using edge computing, designed to enable real-time and secure recap of medical exchanges. Unlike pall-grounded STT systems that face quiescence issues and data sequestration enterprises, the proposed result processes speech locally on edge bias, icing minimum quiescence and enhanced data sequestration, in compliance with healthcare regulations similar as HIPAA. The operation is optimized to fete complex medical language and seamlessly integrate with electronic health record (EHR) systems. Performance evaluations show the system’s capability to deliver largely accurate abstracts with significantly reduced quiescence, indeed in network-limited surroundings. This exploration demonstrates the eventuality of edge computing in transubstantiation healthcare attestation, offering an effective, scalable, and sequestration- conserving result for speech- to- textbook operations in medical settings.

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Author Information

#	Name	Institute / Affiliation
1	Kriti prasad	CMR University
2	Dr. A. Sasi Kumar	CMR University

How to Cite

Use the following formats to cite this article in your research.

APA Style

prasad, Kriti & Kumar, Dr. A. Sasi (2024). Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing. International Journal of Advance Research and Innovative Ideas In Education, 10(5), 1247-1251.

MLA Style

prasad, Kriti, and Dr. A. Sasi Kumar. "Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, 2024, pp. 1247-1251.

IEEE Style

Kriti prasad and Dr. A. Sasi Kumar, "Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, pp. 1247-1251, 2024.

Vancouver Style

prasad Kriti, Kumar Dr. A. Sasi. Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(5):1247-1251.

Harvard Style

prasad, Kriti & Kumar, Dr. A. Sasi (2024) 'Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing', International Journal of Advance Research and Innovative Ideas In Education, 10(5), pp. 1247-1251.

Chicago Style

prasad, Kriti and Dr. A. Sasi Kumar. "Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 1247-1251.

Turabian Style

prasad, Kriti and Dr. A. Sasi Kumar. "Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computing." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 1247-1251.