Automatic Data Extraction from Blood Test Report Using Microsoft Azure AI Document Intelligence

dc.contributor.authorHo Jia Wei
dc.date.accessioned2026-04-20T06:52:54Z
dc.date.issued2025
dc.descriptionThe healthcare sector often struggles with manual data extraction from blood test reports, which is time-consuming, error-prone, and inefficient. To address this challenge, this study presents the development of a mobile application for automatic text extraction from blood test reports using Microsoft Azure Document AI Intelligence. The application integrates document processing service to streamline the digitization process and enhance data accuracy. The use of Rapid Application Development (RAD) methodology makes the application progresses through iterative stages to ensure user-centered and flexible design. The proposed system uses Azure AI Document Intelligence's customizable models for extracting structured and unstructured data from diverse blood test report formats. Extracted data is validated by users before being stored in an Azure SQL database for seamless data management and retrieval. Additional features include data visualization through tables and line charts and user authentication for security. This application aims to automate the data extraction process, reducing manual workloads and minimizing human error. By standardizing and organizing extracted blood test report data, the system facilitates more accurate diagnoses and efficient healthcare management. Preliminary results indicate the solution’s potential to revolutionize medical record digitization, improve data accessibility, and enhance patient care in healthcare settings.
dc.identifier.urihttps://scholarhub.unimas.my/handle/123456789/374
dc.language.isoEnglish
dc.publisherUniversiti Malaysia Sarawak (UNIMAS)
dc.relation.ispartofseriesFaculty of Computer Science and Information Technology
dc.subjectAutomatic Data Extraction
dc.titleAutomatic Data Extraction from Blood Test Report Using Microsoft Azure AI Document Intelligence
dc.typeFinal Year Project

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