Natural Language Processing for Electronic Health Record Optimization in Android Applications

This paper aims to demonstrate the development of an Android application designed to improve healthcare data management using Natural Language Processing (NLP) technologies. It develops an Android application that enables healthcare professionals to access patient records anytime, enhancing decision-making. The system uses Optical Character Recognition (OCR) to extract patient data from documents, simplifying data entry for diagnoses and treatments. It also incorporates Quick Response (QR) code generation for accurate data retrieval. By leveraging NLP, the mobile application will enhance efficiency, accessibility, and accuracy in healthcare, particularly benefiting developing countries where digital health records are uncommon..

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-11-13
DOI
https://doi.org/10.48175/ijarsct-22229
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Natural Language Processing for Electronic Health Record Optimization in Android Applications

Gift Mboneche, Ulemu Mponela
International Journal of Advanced Research in Science Communication and Technology
Context-Aware Activity Recognition Systems
article

Natural Language Processing for Electronic Health Record Optimization in Android Applications

Gift Mboneche, Ulemu Mponela
article en

Abstract

This paper aims to demonstrate the development of an Android application designed to improve healthcare data management using Natural Language Processing (NLP) technologies. It develops an Android application that enables healthcare professionals to access patient records anytime, enhancing decision-making. The system uses Optical Character Recognition (OCR) to extract patient data from documents, simplifying data entry for diagnoses and treatments. It also incorporates Quick Response (QR) code generation for accurate data retrieval. By leveraging NLP, the mobile application will enhance efficiency, accessibility, and accuracy in healthcare, particularly benefiting developing countries where digital health records are uncommon..

International Journal of Advanced Research in Science Communication and Technology
DMI-St. John the Baptist University (MW)
Partnerships for the goals
Openalex Percentile: Top 80%
Context-Aware Activity Recognition Systems
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