Discussion: The twin programmes of “Big Data” and “Digital Health” are not always joined up by coherent policy and investment priorities. Substantial global investment in health IT and data science has led to sound progress but highly variable outcomes. Society needs an approach that brings together the science and the practice of health informatics. The goal is multi-level Learning Health Systems that consume and intelligently act upon both patient data and organizational intervention outcomes.
Conclusions: Informatics for Health demonstrated the art of the possible, seen in the breadth and depth of our contributions. We call upon policy makers, research funders and programme leaders to learn from this joined-up approach.
|Number of pages||183|
|Journal||Journal of Innovation in Health Informatics|
|Publication status||Published - 21 Apr 2017|
|Event||Informatics for Health 2017 - Manchester Central, Manchester, United Kingdom|
Duration: 24 Apr 2017 → 26 Apr 2017
- computing methodologies
- medical records systems