The composition of the population is changing, and the number of elderly is rising resulting in a growing need for health and care services. New technology enables the refinement and personalisation of existing health care practices; this has the potential to prevent grave diseases and save more lives. Although the technological revolution in the healthcare sector shows great potential, not all technological innovations serve their purposes. Documenting the effects of innovation in health care is therefore essential to assess prioritising in adequate technology implementation.
To improve the pace and efficiency of the development and assessment of health innovation, new methods for early health technology assessment (early HTA) are emerging in the literature. Early HTA is a form of HTA that evaluates technologies still in development and can be defined as the early examination of the medical, economic, social, and ethical implications of a health intervention to determine the potential of its incremental value in health care.
The purpose of this thesis is to study methods for early HTA of innovative technologies and explore the value of behavioural data in the assessment of the usability of e-health solutions.
This thesis points to early assessment of health innovation as a method to identify drivers and barriers at an early stage, and decide on anticipated outcome measures to meet the users’ needs. The application of early HTA methodology may provide decision-makers with stepwise decision support, particularly needed in e-health solutions to ensure sustainable implementation.
The project is a PhD project by Linn Nathalie Støme from Centre for Connected Care at Oslo University Hospital.