What problem does it solve? Creating professional, compliant medical treatment plans is time-consuming and error-prone, requiring clinicians to balance evidence-based interventions, SMART goal frameworks, HIPAA de-identification, and regulatory documentation standards across diverse clinical specialties. ## Core Features & Use Cases - Seven LaTeX/PDF Templates: Covers one-page quick-reference plans, general medical, rehabilitation, mental health, chronic disease management, perioperative care, and pain management scenarios. - Validation & Automation Scripts: Includes Python tools for template generation, completeness checking, quality validation, and treatment timeline visualization. - Regulatory Compliance Built-In: Templates enforce HIPAA Safe Harbor de-identification, SMART goal criteria, ICD-10 coding, and professional documentation standards. - Use Case: A clinician needs a treatment plan for a newly diagnosed Type 2 diabetes patient. They generate the general medical template, customize SMART goals (e.g., HbA1c <7% in 3 months), validate completeness with the checking script, and compile to PDF for the medical record. ## Quick Start Ask the AI to generate a one-page treatment plan for a patient with hypertension using the treatment-plans skill, then compile the resulting LaTeX file to PDF.