MedIQ Smart Healthcare

An AI scribe typically works in four steps:

• Capture: a phone, computer or room microphone records the consultation after the patient is informed or consents.
• Transcription: speech recognition converts audio to text and separates speakers.
• Summarization: a language model extracts relevant content and drafts a note in the chosen format, such as a SOAP note, sometimes with codes or orders suggested.
• Review: the clinician edits and signs the draft, which is then filed in the EHR, often through an integration.

Each step can introduce errors, so final responsibility for the note stays with the clinician. Ask vendors whether audio is stored, whether data is used to train models, and how fabricated or missing content is measured.

Hallucination is when a generative AI tool produces content that sounds plausible but is false or unsupported by its inputs, such as a symptom, medication or exam finding that was never mentioned in a consultation.

It matters most in documentation, summarization and question-answering tools, because errors can be copied into the medical record. Common safeguards are:

• Clinician review and sign-off of every generated note or summary.
• Links from generated text back to the source audio or record.
• Vendor testing that measures omission and fabrication rates in realistic conditions.
• Clear policies on what the tool must not be used for.

WHO's guidance on large multi-modal models highlights inaccurate or false outputs as a key risk.

Ambient clinical documentation uses AI to listen to a clinician-patient conversation, with consent, and draft a clinical note automatically, so the clinician does not need to dictate or type during the visit.

These tools, often called AI scribes, typically combine speech recognition, speaker separation and a large language model that summarizes the conversation into a structured note, which the clinician reviews, edits and signs in the EHR.

Points to consider include patient consent and notice, accuracy (including omitted or invented details), specialty templates, EHR integration, audio retention and data protection. Regulatory status depends on intended purpose: drafting documentation is different from a feature that suggests diagnoses or treatment. See the Clinical Documentation AI filter in the Medical AI directory.