Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services

Clausen, Carolyn; Leventhal, Bennett L.; Nytrø, Øystein; Koposov, Roman; Westbye, Odd Sverre; Røst, Thomas Brox; Bakken, Victoria; Koochakpour, Kaban; Thorvik, Ketil; Skokauskas, Norbert

doi:10.1016/j.jaac.2020.09.018

Cited by 9 publications

(11 citation statements)

References 9 publications

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“…The complexities of a CDSS for CAMHS have all come under consideration in the development of the Individualized Digital DEcision Assist System (IDDEAS) project. IDDEAS, an innovation and research project in Norway, aims to design and implement a CDSS that can support the diagnoses and treatment of mental health disorders in children and adolescents, starting with ADHD as the first model clinical paradigm (50,51). With nearly 4% of all 12 year olds in Norway having ADHD at any point in time (7), the disorder will serve as the first case example for IDDEAS.…”

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

“…Data representing multiple episodes of care for different patients are structured into domains of inter-related concepts and hierarchical clinical patterns. They are then ranked within the system, matched with the current patient and ultimately provided within the system's interface to support the practitioner through clinical decision making (50,51). In addition, guidelines and other clinical recommendations are compiled and encoded before being combined with the data-driven trajectories and patterns to provide ranked suggestions in response to any practitioner queries (50,51).…”

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

“…They are then ranked within the system, matched with the current patient and ultimately provided within the system's interface to support the practitioner through clinical decision making (50,51). In addition, guidelines and other clinical recommendations are compiled and encoded before being combined with the data-driven trajectories and patterns to provide ranked suggestions in response to any practitioner queries (50,51). By designing a CDSS that utilizes both guidelines and big data, the system has the potential to be curated based on evolving scientific evidence, and with the use of each individual patient's own EHR data to also build upon the available evidence base within the system (51).…”

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

“…While designated responsibilities lead to differing extents of active involvement from these stakeholders, the IDDEAS Consortium holds regular collaborative meetings for all stakeholders to consistently include multidisciplinary perspectives through development, evaluation and implementation. In addition to multidisciplinary cooperation, IDDEAS is nationally funded by the Norwegian Research Council (i.e., Norges Forskingsrådet) and involves collaboration on a national level (i.e., between different regional CAMH clinics), as well as on an international level, with Consortium members representing Norway, the United States, and several countries of the European Union (50,51).…”

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

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Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services

et al. 2020

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Mental health disorders often develop during childhood and adolescence, causing long term and debilitating impacts at individual and societal levels. Local, early, and precise assessment and evidence-based treatment are key to achieve positive mental health outcomes and to avoid long-term care. Technological advancements, such as computerized Clinical Decision Support Systems (CDSSs), can support practitioners in providing evidence-based care. While previous studies have found CDSS implementation helps to improve aspects of medical care, evidence is limited on its use for child and adolescent mental health care. This paper presents challenges and opportunities for adapting CDSS design and implementation to child and adolescent mental health services (CAMHS). To highlight the complexity of incorporating CDSSs within local CAMHS, we have structured the paper around four components to consider before designing and implementing the CDSS: supporting collaboration among multiple stakeholders involved in care; optimally using health data; accounting for comorbidities; and addressing the temporality of patient care. The proposed perspective is presented within the context of the child and adolescent mental health services in Norway and an ongoing Norwegian innovative research project, the Individualized Digital DEcision Assist System (IDDEAS), for child and adolescent mental health disorders. Attention deficit hyperactivity disorder (ADHD) among children and adolescents serves as the case example. The integration of IDDEAS in Norway intends to yield significantly improved outcomes for children and adolescents with enduring mental health disorders, and ultimately serve as an educational opportunity for future international approaches to such CDSS design and implementation.

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Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

Section: A Complex Proposition To Meet Complex Needs: the Iddeas Projectmentioning

confidence: 99%

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Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services

et al. 2020

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“…In addition, reiterative evaluation of CDSSs may be critical to optimize the workflow. Another challenge with regard to the use of CDSSs relates to confidentiality (Clausen et al, 2020). Given potential ramifications of information sharing through the EHR, protecting personal mental health information behind a glass may be critical.…”

Section: Barriers For Implementing Cdsssmentioning

confidence: 99%

The integration of clinical decision support systems into pediatric subspecialty care.

Urban¹,

Counts²,

Lois³

et al. 2022

Clinical Practice in Pediatric Psychology

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Objective: This review aims to provide a brief introduction of clinical decision support systems (CDSSs) and discuss the role of psychology for the integration of CDSSs for child mental health into pediatric subspecialty care. Methods: A review of literature regarding CDSSs used for physical and mental health services was conducted to lay the foundation for our recommendations. Results: Children with chronic physical illness are twice as likely to suffer from mental illness as compared to healthy controls. These mental health problems are often discovered in pediatric subspecialty care. Yet their mental health needs are often unaddressed when the sections of pediatric subspecialty care and mental health are not well coordinated. CDSSs could help subspecialty providers with evidence-based decision-making regarding mental health screening and referrals. That is, CDSSs could enhance the access to most effective mental health treatment for children. However, the implementation of CDSSs in pediatric subspecialty care is very limited. Conclusions: Psychologists could assist subspecialty providers with advocating CDSSs to administrative and information technology staff, as well as build, customize, evaluate, and update CDSSs. Implications for Impact StatementThis review discusses a need for integrating clinical decision support systems (CDSSs) into pediatric subspecialty care to improve care coordination between pediatric subspecialty care and mental health sections. A role of pediatric psychology is proposed.

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Design and implementation of clinical decision support systems in mental health helpline Services: A systematic review

Gu,

Andargoli,

Mackelprang

et al. 2024

International Journal of Medical Informatics

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Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services

Cited by 9 publications

References 9 publications

Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services

Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services

The integration of clinical decision support systems into pediatric subspecialty care.

Design and implementation of clinical decision support systems in mental health helpline Services: A systematic review

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