Visualizing Clinical Data of the SCORS-G to Identify Maladaptive Patterns

What is it about?

The Challenge: A popular psychological assessment tool generates data that is highly detailed but visually overwhelming, making it hard for therapists to quickly identify a patient's core issues. Our Solution: We developed a new visual display- the Adaptive and Maladaptive Scores Grid (AMSG), to organize this data intuitively. The Study: We asked 72 mental health professionals to review patient data using both the old numerical tables and our new visual grid. The Result: Clinicians using our visual grid were significantly better at spotting negative psychological patterns and understanding the patient's unique struggles. Specifically, the visual design makes extreme maladaptive patterns more salient, drawing clinician's attention to areas of severe distress which might have been overlooked.

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Photo by Evgeni Tcherkasski on Unsplash

Photo by Evgeni Tcherkasski on Unsplash

Why is it important?

A persistent challenge in psychological assessment is translating complex empirical data into actionable clinical insights. Our work addresses this gap by introducing a novel visual paradigm, the Adaptive and Maladaptive Scores Grid (AMSG), for the widely used SCORS-G. What makes this study unique is its focus on making extreme, maladaptive relational patterns visually salient, ensuring they do not get buried in standard numerical averages. By bringing modern data visualization into psychodynamic assessment, this tool bridges the gap between rigorous research and applied practice. The AMSG directly enhances how therapists formulate cases and plan treatments, making evidence-based assessment more accessible for real-world clinical settings.