AI Chatbot for Intake and Anamnesis in Speech Therapy

An AI intake agent streamlined the speech therapy onboarding process by automating anamnesis conversations, reducing speech therapist workload, improving data quality, and enhancing the overall patient experience.

Reduced Workload

Therapists spend less time on administration and more on patient care

Increased Capacity

Shorter intake cycles enable more patients to be helped within the same capacity

Improved Quality

Consistent, structured data enhances diagnosis accuracy and treatment planning

Challenge

Balancing Administrative Load and Patient Care

Speech therapy departments face increasing administrative burdens due to growing demand and ongoing staff shortages. Therapists often spend a significant portion of their time on intake and anamnesis. This repetitive but essential process determines the direction of treatment. This imbalance reduces the time available for direct patient care and increases waiting times for new clients. The result: efficiency loss, delayed treatment starts, and inconsistent quality in intake procedures.

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Ambition

Reduce Time per Therapy and Maximize Treatment Value

The client’s goal was to streamline the first phase of the therapeutic process (intake and anamnesis). This to reduce administrative time while increasing overall treatment value. By improving both efficiency and data quality, the department aimed to enable therapists to focus more on patient interaction and less on paperwork. At the same time, they ensure a consistent and professional intake experience for every client.

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Strategy

AI-Powered Conversational Intake Assistant

To achieve these goals, we designed and implemented a smart, conversational AI system that supports the intake process end to end:

Target the Intake and Anamnesis Phase: We focused on the most time-consuming stage of therapy to maximize immediate impact.
Develop an AI Chatbot for Autonomous Conversations: The chatbot conducts natural-feeling, context-aware dialogues with clients, collecting detailed anamnesis data.
Automate Disorder Identification: The system intelligently detects relevant disorders and dynamically adapts its questioning based on client responses.
Enable Scalable Modalities: The current version operates via text, with a speech-to-speech version in development to enhance accessibility and user experience.

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Impact

Efficiency, Quality, and Better Patient Experience

The implementation of the AI-powered intake assistant delivered measurable outcomes across the therapy process:

Time Savings for Therapists: Significant reduction in administrative workload, allowing therapists to focus on care and reducing patient waiting times.
Enhanced Client Convenience: Clients can complete the intake at their own pace, anytime and anywhere, improving accessibility and engagement.
Improved Data Quality: Standardized question structures enhance data consistency and enable data-driven improvements in diagnosis and treatment quality.
Increased Capacity: With the same amount of capacity, more patients can be helped and wait lists can be reduced.

Foundation for Scalable Automation: The solution paves the way for further integration of speech recognition and advanced AI support in therapy workflows.

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