Abstract Objective Over 30% of youth with pediatric-onset multiple sclerosis (POMS) experience cognitive impairment, making timely identification and neuropsychological screening essential (Kalb et al., 2018). Best practice recommends baseline assessment and annual reevaluations (Kalb et al., 2018; Nguyen-Martinez et al., 2024), yet consistent monitoring is difficult without system-level support. This review proposes the development of a clinical digital dashboard to automate patient tracking and improve access to neuropsychological care for patients with POMS. Method A literature review of peer-reviewed studies examining clinical dashboards in neuro-/behavioral and general healthcare settings was conducted using EBSCO and PubMed. Search terms included: “clinical dashboard,” “digital dashboard,” “visualization dashboard,” OR “interactive decision dashboard” AND “healthcare,” “medical,” “psychology,” “neuropsychology,” OR “behavioral health.” Only English-language articles from the past 10 years were included. Studies using interactive assessment tools or machine learning were excluded, yielding 15 reviewed articles. Results Findings indicated dashboards improve patient identification, monitoring, treatment adherence, clinician productivity, and care standardization (e.g., Cochran et al., 2022; Esquer Rochin et al., 2021; Kincaid et al., 2021). Dashboards extract real-time clinical variables (e.g., remission status, appointment dates) from electronic health records and notify providers when follow-up is needed. These functions align with POMS care guidelines and suggest dashboards could enhance cognitive monitoring. Conclusion Clinical dashboards are a novel technology in healthcare settings, and research is limited. Early evidence supports their potential to improve care access, workflow efficiency, and adherence to monitoring guidelines for POMS. The next step of this project is to pilot the POMS dashboard in a pediatric neuropsychology care setting.
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