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Authors: Prajat Paul ; Mohamed Mehfoud Bouh and Ashir Ahmed

Affiliation: Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

Keyword(s): Digital Health, Automatic Speech Recognition (ASR), Low Resource Language (LRL), Bangla, Health Data Extraction, Electronic Health Record (EHR).

Abstract: Collection of health information from the underserved community has been a challenge. Their health records are not digitized. The major population of the underserved community is text-illiterate but is not voice-illiterate. This article proposes a speech-based healthcare information collection system as an additional module to the traditional EHR system. Bangla is a language spoken widely across Bangladesh and Western parts of India by 210 million people, but it is still one of the LRLs when it comes to ASR resources. The existing research outcomes indicate the necessity of application-specific language resources for better performance. In addition, a system architecture for collecting speech data from doctor-patient conversations and an automated information retrieval system in the local language are put forward. The system also extends to extracting information that can provide assistance in operations like prescription prediction and creating new health records in digital medical history management systems. (More)

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Paper citation in several formats:
Paul, P.; Mehfoud Bouh, M. and Ahmed, A. (2024). Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 754-760. DOI: 10.5220/0012471500003657

@conference{healthinf24,
author={Prajat Paul. and Mohamed {Mehfoud Bouh}. and Ashir Ahmed.},
title={Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2024},
pages={754-760},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012471500003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language
SN - 978-989-758-688-0
IS - 2184-4305
AU - Paul, P.
AU - Mehfoud Bouh, M.
AU - Ahmed, A.
PY - 2024
SP - 754
EP - 760
DO - 10.5220/0012471500003657
PB - SciTePress

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