Generate neuropsychological evaluation reports from NSE transcripts and test data.
npx skills add https://github.com/brainworkup/skills --skill neuropsych-reports
Please help me install this Agent Skill. Skill: neuropsych-reports Source: https://github.com/brainworkup/skills/tree/main/neuropsych-reports Command: npx skills add https://github.com/brainworkup/skills --skill neuropsych-reports
Generate comprehensive, publication-ready neuropsychological evaluation reports by synthesizing intake data, NSE transcripts, standardized test scores, and collateral information into a structured, DSM-5-TR/ICD-10 aligned document.
Input NSE transcript and score data to generate a complete neuropsychological report using the standard templates.
This skill automates the complex workflow of clinical neuropsychological reporting, dramatically reducing manual drafting time while preserving rigor, structure, and regulatory compliance.
High-intent search queries and answers about installing and using this skill.
Automate neuropsychological report generation by combining NSE transcripts, test data, and clinician notes to produce a structured DSM-5-TR/ICD-10 aligned document with history, test results, and recommendations.
Yes, you can generate pediatric, geriatric, forensic, and standard clinical neuropsychological evaluation reports using modular, template-driven formatting tailored to each specific evaluation context.
Yes, the report-writing process enforces HIPAA-compliant de-identification and validity checks on clinical data to ensure ethical reporting standards are met before exporting the final document.
Export standardized score interpretation reports to Markdown or Quarto-compatible outputs using template-driven formatting that assembles premorbid estimation, pattern analysis, and cross-domain cognitive integration.
Include DSM-5-TR and ICD-10 coding in a neuropsychological evaluation report by synthesizing intake data, standardized test scores, and diagnostic impressions into a standardized, publication-ready document.
Automated report generation limitations for complex cognitive pattern analysis are mitigated by integrating clinician notes and collateral information with test data to ensure accurate premorbid estimation and diagnostic impressions.
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