eHealth and medical care

The new management paradigms of eHealth systems, centered on the patient and based on digitalization, 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.

 

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 (4)

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
Software and business processes
Artificial intelligence, machine learning, and decision support systems
Mobile computing and advanced positioning systems
5G and 6G private networks
Cognitive and collaborative robotics
Human Factors, usability, and UX design
carbon neutrality
data
connectivity
systems
energy
Artificial intelligence, machine learning, and decision support systems
Computer vision and image processing
Artificial Intelligence
Artificial Vision
Artificial intelligence, machine learning, and decision support systems
Computer vision and image processing