Structured Mental Health Voice AI Intake — Before the Clinical Encounter
Vokalith conducts structured pre-assessment intake for mental health services — collecting presenting concerns, history, and standardised screening data — so clinicians begin every session fully informed.
30 min
Saved per assessment session
100%
Consistent screening tool delivery
85%
Reduction in admin intake effort
The Challenge
Why manual intake fails here
Mental health assessment intake is time-intensive, sensitive, and requires careful structuring. Manual intake consumes clinical time that should be directed toward therapeutic work.
Intake consumes session time
When intake is conducted in-session, it reduces the time available for therapeutic work and delays the clinical encounter.
Inconsistent history collection
Manual intake varies by clinician, producing inconsistent presenting history and background information.
Screening tool administration
Standardised tools (PHQ-9, GAD-7, PCL-5) need consistent administration — difficult to guarantee in manual intake processes.
Incomplete prior treatment history
Manual calls often miss prior treatment, medication history, and existing diagnoses — critical context for mental health assessment.
How Vokalith Helps
What the automated workflow looks like
Pre-assessment intake call
AI contacts patients before their assessment to conduct a structured intake interview — presenting concerns, background history, prior treatment, current medications.
Standardised screening delivery
Validated screening tools are administered consistently as part of the intake — responses are scored and included in the structured record.
Clinical summary delivered pre-session
A complete structured intake summary is delivered to the clinician before the assessment begins.
EHR integration
Intake data and screening scores are written directly to the EHR, eliminating manual entry.
Capabilities
What's included
- Pre-assessment structured interviews
- Standardised screening tool administration
- Presenting concern & history collection
- Prior treatment & medication capture
- EHR integration
- Clinician-ready assessment summary
- Sensitive data handling protocols
Insights
