Digitizing and Automating the Diagnostic psychiatric Assessment Process (DADAP)
Funding: EU and the Research Council of Norway through The European Partnership on Transforming Health and Care Systems (THCS)
Abbreviated project: DADAP
Project full name: Digitizing and Automating the Diagnostic psychiatric Assessment Process
Partners: RISE Research Institutes of Sweden, SimulaMet, Swedish Hospital Region Västmanland (RV), CEMEX and IBIMA-FIMABIS
The DADAP project aims to transform the diagnostic assessment process in the clinical care pathway of Child and Adolescent Psychiatry (CAP) by digitizing and automating it using an innovative AI-based solution which is explainable and optimizes the delivery of health and care services
across a multitude of different settings.
In several recent national projects, Region Västmanland (RV), a hospital in
Sweden, has developed two innovative instruments for digitizing the psychiatric assessment process. The consortium will expand the usage of the existing tools and use AI to automate the process.
Vajira Thambawita from SimulaMet is leading the work on data infrastructure, using deep generative models to create synthetic data.
An AI-based screening and diagnostic tool will be developed. Trained on the synthetic data, this tool aims to optimise question-asking, leading to more effective diagnosis and treatment selection. The tool, developed using deep learning techniques, will assist clinicians through a web interface, facilitating early detection and diagnosis, and reducing subjectivity and bias.
To build on the potential in this project, the consortium is aiming to translate and adapt the instruments to other settings. Automating assessment processes in different healthcare services across countries, languages and cultures.
Funding
Disclaimer: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the Granting authority can be held responsible for them.