eHealth and Medical Care

The new management paradigms of eHealth systems, centered on the patient and based on digitalisation, lead to the creation of new technologies for remote medical monitoring and treatment, teaching and execution of medical procedures. 

 

The CCG/ZGDV Institute has contributed to innovation in eHealth through the transfer of technology and knowledge, in the process of developing solutions for patients and healthcare professionals, which guarantee important aspects such as security in the use and preservation of data, compliance with medical standards, user profile suitability and interoperability.

 

esaúde e cuidados médicos

Challenges and Opportunities

 

  • Ensures the security and privacy of personal health data
  • Difficulties in accessing digital health solutions for everyone
  • Challenges in integrating digital health technologies into existing healthcare systems and workflows

  • Difficulties in the adoption and acceptance of e-health solutions by healthcare professionals and patients
  • Requirements regarding the quality and accuracy of health information provided by digital health solutions

Strategies

 

  • Improve access to healthcare, particularly in areas with greater need and scarcity
  • Reduce healthcare costs and increase efficiency through the use of digital health technologies
  • Promote research and education through the development of technologies for digital access to health data

  • Enable remote patient monitoring, allowing healthcare professionals to monitor and manage patients remotely
  • Encourage innovation and economic growth through the development and application of new digital health technologies

Featured projects (9)

MedAIVeritas
  • Artificial intelligence, machine learning, and decision support systems
AI
CHLOROFIT
  • Software architecture and data engineering
T-PRISM: Toilet Platform for Real-time Integrated Sensing and Monitoring for ...
  • Artificial intelligence, machine learning, and decision support systems
  • Computer vision and image processing
Computer Vision
Healthcare
HfPT - Health from Portugal
  • Business models for digital economy
  • Software and business processes
  • Artificial intelligence, machine learning, and decision support systems
  • Ontologies and interoperability
  • Computer vision and image processing
  • Computer graphics, virtual, augmented and mixed reality
  • Cognitive and collaborative robotics
  • Human Factors, usability, and UX design
RA
IA
Computer Vision