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Mental Health Intake & Monitoring

Multi-session intake with AI risk detection and longitudinal outcome tracking.

Comprehensive mental health intake, ongoing session assessments, and longitudinal outcome tracking โ€” with AI-powered risk detection that flags high-risk responses before the clinician sees the patient. Built for mental health practices, psychology clinics, counseling centers, and crisis services.

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What's included

  • PHQ-9, GAD-7, PCL-5, Columbia Suicide Severity Rating Scale (C-SSRS)
  • Comprehensive mental health history intake with conditional branching
  • Session-by-session outcome tracking with trend visualization
  • AI-powered crisis flag detection with immediate clinician notification
  • Multi-session longitudinal tracking across treatment episodes
  • Progress monitoring dashboard for therapists and supervisors
  • Referral and care coordination workflow
  • PIPEDA & HIPAA-compliant data handling
  • Integration with EMR and practice management systems
  • Custom assessment instruments configuration
  • Group practice multi-clinician access with role-based permissions
  • Outcome benchmarking against clinical standards

How AI post-processing works

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Every session assessment is automatically processed โ€” PHQ-9, GAD-7, and PCL-5 scores are calculated and interpreted against clinical severity thresholds, crisis risk is assessed using structured C-SSRS responses, and a session summary is generated for the clinician before the appointment. The AI tracks score trajectories over time, alerting clinical supervisors when a patient's condition is deteriorating. Crisis flags trigger immediate notification workflows โ€” before the session begins.

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Auto-Score
Every response scored against your configured rubrics
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AI Summary
Structured summary generated before any human review
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Risk Flags
High-risk submissions flagged and routed immediately

Who it's for

  • โ†’Private psychology and psychotherapy practices
  • โ†’Mental health clinics and community mental health centers
  • โ†’Counseling centers at universities and colleges
  • โ†’Employee Assistance Programs (EAPs)
  • โ†’Crisis intervention and distress line organizations
  • โ†’Addiction and substance use treatment programs

Use cases

Private Practice โ€” New Client Intake & Ongoing Monitoring

New clients complete comprehensive intake before the first session. PHQ-9, GAD-7, and PCL-5 auto-scored. AI generates a clinical summary. Session-by-session tracking shows trajectory.

  • Comprehensive mental health and psychosocial history intake
  • PHQ-9, GAD-7, PCL-5 auto-scored with severity interpretation
  • AI-generated pre-session summary for clinician
  • Crisis flag detection with immediate notification
  • Outcome trend visualization across treatment episodes

University Counseling Center โ€” Population-Level Wellbeing Tracking

Universities screen student wellbeing at enrollment and track longitudinally. AI identifies at-risk students for early outreach before academic or personal crises escalate.

  • Enrollment wellbeing screening across student population
  • AI-powered early intervention flagging
  • Population-level mental health analytics for administration
  • Counselor referral routing based on severity scoring
  • Session outcome tracking and clinician productivity dashboards

Configure & go live

  1. 1
    Choose your specialty
    General mental health, trauma/PTSD, addiction, or youth-specific
  2. 2
    Configure assessment battery
    Select validated instruments and configure custom intake questions
  3. 3
    Set crisis thresholds
    Define score cutoffs that trigger immediate clinical alerts
  4. 4
    Add branding and portal URL
    Client-facing intake portal branded to your practice
  5. 5
    Go live
    Send secure intake links to clients before their first session
Average time to live: 4 hours
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Compliance & Security

PIPEDAGDPRHIPAAREST APISSOCloud & On-Premise

Ready to go live with Mental Health Intake & Monitoring?

Book a 30-minute demo and we'll walk you through the app configured for your exact workflow. No commitment required.

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