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Adoption of AI scribe in Australian healthcare: concerns about errors in records and protection of patient data

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According to the report by Digital Rights Watch, over 40 % of Australian doctors use AI scribe for consultation notes; up to 20 % of records contain errors affecting diagnosis, and there is a lack of transparency about how patient data is handled.

According to the Off the Record report by Digital Rights Watch, more than 40 % of Australian doctors use AI scribe tools, which record consultations and use large language models (similar to ChatGPT or Claude) to generate notes for medical records. This is an attractive solution for doctors because it saves hours of administrative work, and the Australian Medicare system only reimburses time spent directly with the patient anyway, not writing notes.

However, the report highlights risks to patients. These tools often do more than transcribe speech: they also interpret and summarise the conversation based on what the AI concludes the doctor would say — while hallucinating, meaning they confidently record things that did not happen. According to the report, AI systems also exhibit biases linked to race, ethnicity, class, and gender, which can lead to records that differ significantly from reality for patients from culturally and linguistically diverse backgrounds. Older studies reported that up to 90 % of AI notes required correction, while newer studies report approximately 20 % of notes containing errors serious enough to affect the diagnosis.

The report also points to a lack of transparency: according to its findings, healthcare professionals cannot tell patients specifically where their data goes, who has access to it, or which AI models are used — they receive only general assurances that the data stays in Australia. Digital Rights Watch therefore proposes that the Australian regulator for medicines and medical devices (TGA) tighten regulation of AI scribes and treat them like any other medical device subject to safety testing — TGA currently considers a scribe to be a medical device only if it provides diagnostic recommendations, which, according to the report, allows providers to avoid scrutiny.

What changed

Why it matters

The report describes a specific tension between time savings for doctors and risks to patients: if doctors do not thoroughly verify AI notes, errors affecting diagnosis enter medical records; if they verify them thoroughly, the promised time savings disappear. At the same time, there are no clear rules on who is responsible for handling sensitive health data processed by these tools, which, according to the report, creates room for providers to avoid the regulations applicable to medical devices.

Two audiences, two different impacts

What this means

01

For individuals

According to the report, a patient whose consultation is recorded by an AI scribe tool has no assurance that the notes reflect what actually happened (errors, hallucinations, bias based on ethnicity or language), nor transparency about where their health data goes.

What to do When visiting a doctor who uses AI scribe, ask what data is processed, where it is stored, and who has access to it.
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02

For a business

According to the report by Digital Rights Watch, healthcare facility operators and AI scribe providers face the risk of regulatory intervention (the Australian regulator TGA is considering classifying scribes as medical devices) and the fact that proper verification of AI notes by a doctor negates the promised time savings, calling the business case for deployment into question.

Risks and compliance
What to decide Verify with the provider of the AI scribe tool how patient data is processed and stored, require transparency about the models used, and introduce mandatory review of notes by a doctor before they are saved in medical records.
More business impacts →
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Event sources

only one source so far · 1 publisher, 1 independent. We count feeds from the same owner only once.

1
The Conversation — Artificial Intelligence independent context · first detected Clinicians are using AI scribes, but what happens to your medical data?