Digital Prescription for Hospital Database Management using ASR
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| Title: | Digital Prescription for Hospital Database Management using ASR |
|---|---|
| Authors: | R.V, Shalini, G, Sangamithra, A.S, Shamna, B, Priyadharshini, M, Raguram |
| Source: | International Journal of Computer Communication and Informatics; Vol. 6 No. 1 (2024): Volume 6, Issue 1, Year 2024; 58-69 ; 2582-2713 ; 10.34256/ijcci241 |
| Publisher Information: | Sri Shakthi Institute of Engineering and Technology |
| Publication Year: | 2024 |
| Subject Terms: | Digital prescription, ASR (Automatic speech recognition), Google Cloud Speech-to-Text, Java Script, MySQL |
| Description: | According to American Medical Association (AMA), handwritten prescriptions are associated with larger risk of pharmaceutical errors when compared to electronic prescriptions. The solution to this problem is to create a digital prescription. This application leverages the usage of automated speech recognition (ASR) technology with digital prescription to make flawless and legible prescriptions. Automatic speech recognition reduces transcribing errors and speeds up prescription processing as well as ensures smooth interface with hospital database management by translating spoken instructions into text in real-time. This innovation not only simplifies clinical workflows but also improves patient safety and database management by providing a reliable and automated method for prescription documentation. This paper presents a digital prescription system for hospital database management using automatic speech recognition (ASR) technology, integrated with MySQL for database management and Java Script for application development. This approach aims to streamline the prescription process, minimize pharmaceutical errors and improve the overall patient care. |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | English |
| Relation: | https://sietjournals.com/index.php/ijcci/article/view/237/191; https://sietjournals.com/index.php/ijcci/article/view/237 |
| DOI: | 10.34256/ijcci2414 |
| Availability: | https://sietjournals.com/index.php/ijcci/article/view/237 https://doi.org/10.34256/ijcci2414 |
| Rights: | Copyright (c) 2024 Shalini R.V, Sangamithra G, Shamna A.S, Priyadharshini B, Raguram M ; https://creativecommons.org/licenses/by/4.0 |
| Accession Number: | edsbas.68DA655E |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | According to American Medical Association (AMA), handwritten prescriptions are associated with larger risk of pharmaceutical errors when compared to electronic prescriptions. The solution to this problem is to create a digital prescription. This application leverages the usage of automated speech recognition (ASR) technology with digital prescription to make flawless and legible prescriptions. Automatic speech recognition reduces transcribing errors and speeds up prescription processing as well as ensures smooth interface with hospital database management by translating spoken instructions into text in real-time. This innovation not only simplifies clinical workflows but also improves patient safety and database management by providing a reliable and automated method for prescription documentation. This paper presents a digital prescription system for hospital database management using automatic speech recognition (ASR) technology, integrated with MySQL for database management and Java Script for application development. This approach aims to streamline the prescription process, minimize pharmaceutical errors and improve the overall patient care. |
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| DOI: | 10.34256/ijcci2414 |