Personal Health Informatics for Delivering Actionable Insights to Individuals
Funds informatics tools that take a person's own health data and hand back a risk assessment they can understand and do something about.
People now generate more health data about themselves than their doctors do, and almost none of it comes back to them in a usable form. The National Library of Medicine funds the science of closing that gap.
The work sits across four steps: collecting personal health data, integrating it, analysing it, and producing personalised risk assessments with an interpretation attached. The last step is t…
Novel informatics and data science methods for personal health data collection, integration and analysis, personalised risk assessment and interpretation, and the presentation of results and their limitations to individuals, developed through end-user engaged approaches with real-world evaluation, aimed at generalisable, reusable and scalable tools, systems and platforms. Clinical trials are optional.
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