Associação C.C.G. / ZGDV - Centro de Computação Gráfica

Developing innovative solutions using image processing and computer vision for medical diagnosis, emotion analysis, and pattern recognition in examinations.

To provide scalable data architectures for the healthcare sector, optimizing the storage, integration, and analysis of information.

Design and development of robust, scalable software architectures that comply with healthcare sector regulations and are tailored to the specific needs of healthcare organizations, ensuring that systems are secure, interoperable, and aligned with regulatory requirements, while simultaneously meeting the organization's business objectives.

Creating semantic interoperability solutions, enabling different e-health systems to exchange and interpret data and information accurately.

Creation and implementation of computational models that replicate real-world systems for behavior analysis and prediction.

To provide structures that optimize performance and scalability, ensure efficient data access, and support advanced analytics, promoting data-driven decisions and improving operational and strategic management.

To provide systems that allow for the indoor and/or outdoor location of people and/or objects (products, tools, equipment, etc.).

To provide an API-based implementation of machine learning models for predictive data analysis.

To provide a simplified implementation, via a graphical user interface, of Machine Learning models for predictive data analysis. It is designed to automatically identify trends and patterns in historical data, using them to predict/anticipate future values/events, thus enabling proactive decision-making in healthcare organizations.

Dissemination of information, and/or interaction (via ubiquitous technologies) with already implemented systems, allowing healthcare organizations to provide patients and employees with tools that enable more efficient operation of their organizations.

To provide tools for interoperability and communication of IoT devices.

Development of intelligent robotic systems capable of interacting safely, efficiently, and intuitively with humans and their surrounding environment.

To support healthcare organizations in implementing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) technologies, with customized solutions for diagnosis, training, treatment, and rehabilitation.

Developing solutions for real-time data analysis, enabling healthcare organizations to monitor critical events.

Development of techniques and tools to identify and mitigate vulnerabilities and ensure security in complex computer systems, with a focus on the healthcare sector.

Consulting services focused on ensuring the interoperability and compliance of e-health systems, adhering to international standards such as HL7 FHIR, SNOMED CT, and OpenEHR, promoting efficient and secure data integration.

To identify, organize, and document the functionalities, constraints, and technical specifications necessary for the development of software systems.

Technical implementation of interoperability standards in e-health systems, ensuring they meet global standards such as HL7 FHIR and SNOMED CT.