End-to-End Digital ADHD Assessment Workflow
Digitises and structures the full ADHD assessment workflow, including:
Pre-assessment questionnaires
Comprehensive history capture
Clinical interview support tools
Structured synthesis of evidence
Automated generation of draft reports
Ensures consistency with national guidance and reduces unwarranted variation in assessment practice.
AI-Assisted Clinical Documentation
An advanced report-generation engine produces personalised and accessible diagnostic reports based on clinician inputs:
Reduces administrative burden by ~70–91%
Saves up to ~4–5 clinical hours per assessment
Enables same-day report turnaround in supported workflows
Maintains clinician oversight and control
Neuro-Inclusive, Guided Patient App
A mobile-first, stepwise patient interface designed to reduce cognitive load and improve accessibility:
Plain language, guided navigation
Progress visibility and pacing control
Reduced repetition of sensitive information
Trauma-informed communication design
Sensory-aware interaction design principles
Skill-Mix Development and Workforce Enablement
Embedded clinical guidance tools support safe delivery by a broader workforce, including nurses and primary care clinicians:
Structured clinical prompts aligned to diagnostic criteria
Embedded evidence-based clinical tooltips
Reduces variability in clinician experience dependence
Supports scalable service redesign and workforce expansion.
Compatibility with Existing NHS Systems
Designed for low-friction NHS adoption within existing infrastructure:
Works alongside SystmOne, RiO, and other EPRs
No initial integration required
Structured data export for safe clinical record transfer
API-ready architecture for future interoperability (including FHIR alignment)