
DADAP
AI & ML interests
The DADAP (Digitizing and Automating the Diagnostic psychiatric Assessment Process) 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 that is explainable and that optimizes the delivery of health and care services across a multitude of different settings
Recent Activity
DADAP Project Summary
Project Overview
The DADAP (Digitizing and Automating the Diagnostic Psychiatric Assessment Process) project aims to transform Child and Adolescent Psychiatry (CAP) by leveraging AI-based digital solutions to improve the efficiency, accuracy, and accessibility of psychiatric assessments. This initiative builds upon existing digital tools used in Sweden Electronic Psychiatric Intake Questionnaire (EPIQ) and Electronic Psychiatric Semi-Structured Interview for Children and Adolescents (EPSI-C) which have already increased patient throughput by 130%. The project seeks to expand these tools to new countries and further enhance them with AI automation.
Objectives
Automate Psychiatric Assessments with AI
- Reduce manual work by up to 60%.
- Improve diagnostic precision and treatment recommendations.
- Increase patient throughput and reduce waiting times.
Expand Digital Tools Across Borders
- Translate and adapt EPIQ and EPSI-C for international use (Sweden, Spain, Romania).
- Validate AI models in diverse healthcare environments.
Enhance Healthcare Efficiency and Trust
- Reduce the burden on healthcare workers.
- Improve patient satisfaction with quicker and more accurate diagnoses.
- Standardize psychiatric assessments to reduce diagnostic subjectivity.
Methodology
- AI-Driven Screening & Diagnosis: Develop an explainable AI system to dynamically adjust psychiatric interview questions based on patient responses.
- Synthetic Data for AI Training: Create privacy-preserving synthetic datasets to overcome data scarcity and ethical concerns.
- International Validation: Pilot studies in Sweden, Spain, Norway, and Romania will assess the model’s effectiveness and adaptability.
- Healthcare System Integration: Collaborate with hospitals, universities, and research centers to ensure practical implementation.
Expected Impact
- Improved Patient Outcomes: Faster and more accurate diagnoses leading to better treatment.
- Reduced Healthcare Costs: Efficiency gains that lower expenses for hospitals and patients.
- Enhanced Accessibility: Equal access to quality psychiatric care regardless of location or social status.
- Workforce Support: Reduced stress and workload for healthcare professionals.
- Alignment with UN Sustainable Goals: Contribution to Good Health & Well-being, Gender Equality, and Sustainable Cities.
Project Consortium
Led by RISE Research Institutes of Sweden, the project includes partners from:
- Sweden (Region Västmanland)
- Norway (SimulaMet)
- Romania (Grigore T. Popa University of Medicine and Pharmacy)
- Spain (IBIMA-FIMABIS)
Conclusion
DADAP presents an innovative approach to psychiatric assessment by integrating AI-driven automation with clinically validated digital tools. This initiative aims to revolutionize child and adolescent psychiatry by making mental health diagnostics more efficient, scalable, and equitable.