AI-Assisted Intake Documentation for US Behavioral Health

The users and workflow

The application supports a healthcare technology team serving US addiction treatment facilities. Patients complete guided intake assessments, clinicians review the resulting material, and administrators manage the facilities, providers, and documentation configuration. Each role has different tasks within the same assessment lifecycle.

Capturing and finding assessments

Video-led questions guide the assessment, capture responses, and show progress. Assessment records move through statuses including New, Processing, Completed, and Cancelled. Search and filters by patient, facility, or status help staff find the relevant record without relying on separate files and messages.

Recording playback preserves access to the captured material. Timestamped transcripts help reviewers connect text with the relevant part of a recording. These features support review and traceability within the workflow rather than presenting a generated summary as the only record.

Where AI fits

The system produces structured summaries from assessment information for clinician review. Administrators configure summary sections and templates through prompt management. Amazon Bedrock is part of the documented stack alongside the application, database, and media-processing services. Generated documentation is provided with recording and transcript context so a clinician can check the underlying information. This is documentation assistance, not autonomous diagnosis or treatment selection.

Administration and access

Facility and provider administration includes active and inactive states, while role-based access supports different user responsibilities. Configurable templates let the organization adapt documentation structure. The published scope describes application controls; deployment, data handling, contractual responsibilities, and regulatory requirements must be assessed for each implementation.