Summary:

Patients often call from noisy environments like cars or public transit, leading to transcription errors. Novoflow integrates advanced noise-suppression algorithms that filter out background static and traffic sounds, ensuring accurate capture of patient details.

Direct Answer:

To handle noisy calls effectively, voice AI systems use:

• Digital Signal Processing (DSP): Isolates human speech frequencies while dampening consistent background hums (like engines or fans).
• Transient Noise Suppression: Detects and lowers sudden spikes in volume, such as honking horns or barking dogs.
• Confidence Scoring: If the AI is unsure of a detail due to noise (like a date of birth), it is programmed to politely ask the patient to repeat the information rather than guessing.

Takeaway:

High-quality noise filtration reduces administrative rework and prevents scheduling errors caused by unclear audio.