IDDEAS –Individual Digital Decision Assist System
The IDDEAS research and innovation cluster is built on the collective and individual experiences of IT developers, senior researchers, Ph.D. students (three at present), health informatics experts, entrepreneurs, primary and specialty care clinicians, and service users. The cluster is thus highly interdisciplinary. With our boundary-spanning efforts, we aim to develop innovative solutions to curb prevailing issues in child and adolescent mental health services.
Following organizations are working in IDDEAS Research and Innovation Cluster
- Mental Health Carers Norway (LPP)
- ADHD Norway
- Bikuben regional brukerstyrt senter
- Vårres regional peer lead center Middle Norway
- RKBU Central Norway (Norwegian University of Science and Technology, NTNU)
- RKBU North Norway (UiT The Arctic University of Norway | UiT)
- Department of Computer Science (IDI), NTNU
- The Norwegian Association for Child and Adolescent Mental Health (N-BUP)
- Helse Midt-Norge IKT (HEMIT)
- VIVIT AS
- The Norwegian Directorate of Health (NPR)
- International partners: The University of California San Francisco (USA) and Aachen University (Germany)
IDDEAS research and innovation cluster is financed by The Research Council of Norway, RKBU Midt-Norge (NTNU), RKBU Nord-Norge (UiT) and Samarbeidsorganet. One of the IDDEAS clusters’ aims is to create and evaluate IDDEAS CDSS (Clinical Decision Support System) for child and adolescent mental health services (CAMHS).
- CAMHS (BUP in Norwegian) assesses and treats children, adolescents, and young people with emotional, behavioral, or mental health difficulties. During the COVID pandemic, mental well-being decreased among children in Norway, especially those living in areas with lower socioeconomic status (Folkehelseinstituttet, 2021). As a result, in 2021, there was an increase of 18% in CAMHS referrals compared with 2020.
- A CDSS accesses large amounts of information and then uses algorithms for matching patient conditions and phenotypic patterns to the most relevant recommendations to provide the most relevant information and alternative actions.
- A CDSS allows practitioners/clinicians to apply compiled evidence for each patient to receive efficient, effective, and customized care at every patient encounter.
- Practice parameters, clinical guidelines, and scientific literature.
- The guidelines are represented as a “decision tree” to provide step-by-step support through diagnostic and treatment decision-making for practitioners/clinicians.
- Rich datasets of BUP-data derived from multidisciplinary EHRs, accrued over the past decade by St. Olavs Hospital, the Norwegian National Association of Child and Adolescent Mental Health Services.
- A mix of AI-based classifiers, including machine-learning algorithms (i.e., clustering) for
- The AI-based classifiers provide guidance based on practice parameters and similar patient cases.
The IDDEAS CDSS project was reviewed by the Regional Committees for Medical and Health Research Ethics on 9 October 2019 with the following decision: “The project falls outside the scope of the Health Research Act, cf. § 2, and can therefore be carried out without the approval of REK”. The project was granted access to data by application to the regional health authority (St. Olavs Hospital, formal owners of health data from CAMHS patients). The IDDEAS CDSS project conducted a Data Protection Impact Assessment (DPIA) in 2020. The assessment includes information on the processing of anonymization and aggregation of personal information.
How to get in touch with us.
- “The Evaluation of a Computer Decision Support System for Diagnosis and Treatment of Child and Adolescent Mental Health Disorders”
- “Patient History Patterns used for Individualized Care and Decision Support in Child and Adolescent Mental Health Services”
- “Data-Driven Decision Services for Child and Adolescent Mental Health”