Preventive Care

Focus: Early diagnosis and detection

AHA (Active and Healthy Ageing) begins with a prolonged health regimen. Tech-enabled solutions that engage users in health and wellness techniques will allow active and meaningful senior lifestyles.

Current State: The current state of technologies in the preventative care realm include wearable technology, which is primarily based around safety and vital monitoring, and health technology that utilises new ways to allow individuals to remain active and healthy when advancing in age. General health and wellness technologies allow users to practice in a conscious and participatory way. These applications allow for coaching, testing for sharpness, and more clinical applications that can detect conditions early on. New advances in health devices add to the internet of things (IoT) that can affect healthcare; apps that test and practice visual acuity, gamified memory apps, health logging and medicine reminders all help delay onset of issues associated with age. With greater access to medical data, and the ability to monitor it at home, solutions can now utilise Artificial Intelligence (AI) and clinical workflows to assist health awareness like sleep cycle, blood sugar, exercise, and blood pressure. The most advanced solutions can communicate across the continuum of care, looping in professionals to monitor and suggest modifications in lifestyle, increasing the potential for early detection.

IDIH project focus: The focus of IDIH within this field will be on innovative technological themes and applications on early diagnosis and detection such as health information technology, mHealth, portable and wearable devices, eHealth, telehealth/connected health, gamification, big data analytics, personal genomics, health and wellness apps, interoperability, social media and quantified self.

Our Preventive Care experts: 

  • Giovanni Saggio, University of Rome Tor Vergata (EU)
  • Steven Charlap, CEO of GeneYes (USA)
  • Yves Joanette, Université de Montréal (Canada)
  • Yiqiang Chen, Chinese National Institute of Science and Technology (China)
  • Hye-jin Kim, Baekseok University (South Korea)
  • Dr Takao Tashiro, The Open University of Japan (Japan)