ArticleBMC medical informatics and decision making2022
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- Innovation research on college students' mental health management system based on internet of things technology.Scientific reports · 2026Article
- Content Validation of an Electronic Health Record-Based Diabetes Self-Management Support Tool for Older Adults With Type 2 Diabetes: Qualitative Study.JMIR diabetes · 2026Article
- Development of a Human Factors-Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support.Mayo Clinic proceedings. Digital health · 2025Article
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundImprovements to the primary prevention of physical health illnesses like diabetes in the general population have not been mirrored to the same extent in people with serious mental illness (SMI). This work evaluates the technical feasibility of implementing an electronic clinical decision support system (eCDSS) for supporting the management of dysglycaemia and diabetes in patients with serious mental illness in a secondary mental healthcare setting.
methodsA stepwise approach was taken as an overarching and guiding framework for this work. Participatory methods were employed to design and deploy a monitoring and alerting eCDSS. The eCDSS was evaluated for its technical feasibility. The initial part of the feasibility evaluation was conducted in an outpatient community mental health team. Thereafter, the evaluation of the eCDSS progressed to a more in-depth in silico validation.
resultsA digital health intervention that enables monitoring and alerting of at-risk patients based on an approved diabetes management guideline was developed. The eCDSS generated alerts according to expected standards and in line with clinical guideline recommendations.
conclusionsIt is feasible to design and deploy a functional monitoring and alerting eCDSS in secondary mental healthcare. Further work is required in order to fully evaluate the integration of the eCDSS into routine clinical workflows. By describing and sharing the steps that were and will be taken from concept to clinical testing, useful insights could be provided to teams that are interested in building similar digital health interventions.
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