Psychiatry and MH AI Assistant and Scribe-AI-powered psychiatric note generation.

Example

When a psychiatrist is conducting an intake interview for a new patient presenting with anxiety and depression, the AI assistant helps by prompting for all necessary details: the patient's psychiatric history, social history, family history, medical history, and mental status exam. It then integrates this information into a well-structured narrative that aligns with medical documentation standards.

Scenario

In an outpatient clinic, a clinician could spend a 45-minute session with a patient and afterward input clinical notes into the AI, which would generate a detailed report suitable for submission to insurance companies or as part of the patient's ongoing medical record.

Example

A mental health provider conducting a diagnostic evaluation with a patient can input the appropriate CPT code for the session (e.g., 90791 for an initial psychiatric diagnostic evaluation). The AI assistant will incorporate the code into the report to ensure the documentation is ready for billing and meets insurance requirements.

Scenario

In a psychiatric practice, after a clinician completes an evaluation, the AI would include the correct CPT code, ensuring that the evaluation report is legally and administratively prepared for submission to the billing department.

Example

During a psychiatric session, the clinician observes that the patient has a flat affect, disorganized thought processes, and appears disheveled. The AI assistant helps by documenting these findings in a detailed MSE section of the report, which is a crucial element of psychiatric evaluations.

Scenario

In a mental health crisis intervention team, an urgent assessment may be conducted on a patient who is acutely psychotic. The AI generates a structured MSE, capturing all relevant details such as mood, cognition, and speech patterns, which helps guide the intervention team’s care plan.