Decentralisation - Healthcare systems will be decentralised as citizens take a more active role in their health and wellbeing.
Measurement will enable remote consultation and intervention through AI-assisted diagnosis, telemedicine and remote treatment, and also to support responsive medical regulation.
Examples include: advances in wearable and implantable bioelectronics, empowered and proactive citizens being able to collect and securely share their personal data to improve their own health, cure or minimise the risk for a range of non-communicable diseases, advances in bioelectronics.
Complex systems - Predictive and preventative medicine will become a reality as the effects, risks and contributions from environmental, behavioural, biological and genetic factors are unravelled.
Measurement will be needed of many factors to support healthcare decisions, the development of early warning and real-time systems for emerging health risks.
Examples include: high volumes of complex and complementary data for analysis and decision making, modelling future scenarios for infectious diseases, internet linked health monitoring devices, in-situ validation and calibration of sensors.
Regenerative medicine - Simulations of the activities, mechanics and physiological response of entire organs will enable regenerative medicine and transplants.
Measurement will be needed to understand biological functions and processes.
Examples include: replacing animals for research, provide valuable data to study the effects of pharmaceuticals, haemodynamics.