Visualizing Patient Trajectories and Disorder Co-occurrences in Child and Adolescent Mental Health

Research has developed a visualization tool for patient trajectories within Child and Adolescent Mental Health Services (CAMHS), leveraging over 35 years of data. This tool categorizes patients into 12 groups based on age, gender, and ADHD status to facilitate understanding of care patterns and co-occurring disorders. The primary objective is to enhance healthcare decision-making through improved insight into episodes of care.

Why it matters

This development represents a significant advancement in leveraging historical data for predictive and proactive healthcare management. By visualizing patient trajectories, institutions can gain deeper insights into long-term care needs, resource allocation, and the efficacy of interventions for specific patient cohorts, thereby optimizing service delivery and improving patient outcomes.

Key insights

• A patient timeline visualization has been developed to illustrate clustered episodes of care in CAMHS.
• The analysis utilized over 35 years of Child and Adolescent Mental Health Services data.
• Patients are categorized into 12 distinct groups based on age at first episode (preschoolers, middle childhood, teenagers), gender, and the presence or absence of Attention-Deficit Hyperactivity Disorder (ADHD).
• The visualization displays patient demographics and episode of care information to enhance trajectory understanding.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.24911