Abstract
This project aims to optimize decision-making for pathologists by organizing their workflow and controlling analysis tools using data collected in a database. Implemented on a digital pathology platform, it leverages business intelligence (BI) and data analysis to develop an analytical dashboard that offers data visualizations and dynamic reports, monitoring user activity and case volumes.
Key technologies used include Vue.js and Chart.js for the front-end, FastAPI and Pydantic for the back-end, Docker for containerization, and PostgreSQL as the relational database. The project is part of the NucleIQ digital pathology platform, which integrates whole slide images and provides case management and AI detection tools. This integration aims to enhance operational efficiency and decision-making in Anatomical Pathology, potentially revolutionizing diagnostic accuracy and speed.
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Universidad Rey Juan Carlos
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Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2023/2024. Directores/as: David Roldán Álvarez
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pathology , visualization dashboard , data analysis , decision-making , Business Intelligence , reports , activity monitoring , case-volume management , NucleIQ digital pathology platform , efficiency , Whole-slide images , resource-allocation , clinical decision support , real-time visualizations , database
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