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Natural Language Processing for Electronic Health Record Optimization in Android Applications

Year: 2024

Type: article

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..

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-22229

Authors: Gift Mboneche, Ulemu Mponela

Institution: DMI-St. John the Baptist University

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4404305742

FWCI:

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Related to: 10