Interactive construction of knowledge graphs for clinical information capture

• Grant number: 22/13201-3
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: March 01, 2023
• End date: November 30, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Julio Cesar Barbour Oliveira
• Grantee: Julio Cesar Barbour Oliveira
• Company: Precision Data Engenharia e Ciência de Dados Ltda
• CNAE: Desenvolvimento e licenciamento de programas de computador customizáveis
• City: São Paulo
• Associated scholarship(s): 23/04304-6 - Study of Speech-to-Text solutions to capture medical conversations, BP.TT; 23/05316-8 - Interactive solution in the manipulation of knowledge triples, BP.TT; 23/03422-5 - Development of a tool for authoring knowledge graphs in the medical field, BP.TT; + associated scholarships 23/05443-0 - User experience design in data generation for building knowledge graphs, BP.TT; 23/03531-9 - Integration of semantically rich data into a healthcare data platform, BP.TT; 23/03656-6 - Software architecture for interactive construction of knowledge graphs, BP.TT - associated scholarships

Abstract

Data become more and more relevant artifacts in the daily lives of people and companies. In the medical context, there is a great urgency to capture data accurately and intuitively to generate structured and quality data. The relevance of these data is of great potential for applications in clinical and pharmaceutical research, decision-making in medical management, etc. Precision Data is a company specialized in capturing and refining clinical data. There is a need to design interactive systems that support the cycle of generating and processing clinical data. To this end, we aim to study, apply and conduct design methodologies that allow for solutions that make sense to stakeholders. This project aims to study and design interactive applications for authoring clinical data. We will conduct a methodology for the investigation, conception and materialization of design proposals in the construction of a system to support the structured capturing of data in patient care. The expected solution has the potential to support medical professionals in the organized reporting of clinical information. (AU)