AI in Healthcare: 15 Questions Doctors Ask Before Adopting Any Tool

Most clinicians are not asking whether AI works. They are asking what happens when it is wrong, who carries the risk, and whether it will genuinely shorten the day or just add another screen.

These are the questions that come up most often in demos and practice meetings, grouped the way clinicians raise them. We build one of these platforms, so treat our product notes as disclosed bias and hold every vendor — including us — to written answers.

Safety, accuracy and clinical judgement

1. What happens when the AI gets it wrong? The only acceptable design is one where a clinician reviews and approves output before it becomes part of the record. Ask to see the review step, not a slide about it. In HeroMed, an AI-drafted note is a draft until a clinician edits, approves and locks it.

2. Is the note accurate enough for a medico-legal record? Accuracy claims in marketing are not measurable. What is measurable is your own edit rate. Run a two-week trial across your messiest consults — accents, three-way conversations, interruptions, code-switching — and count how often you rewrite rather than tweak.

3. Does it invent detail that was never said? Ask directly, and test for it. The failure mode to look for is plausible-sounding content in a section where nothing was discussed. A well-built scribe leaves a section thin rather than filling it.

4. Can I see what the AI based the note on? You should be able to compare the draft against the transcript. Without that, review is guesswork.

Liability, regulation and sign-off

5. Who is responsible if an AI-assisted note is wrong? You are. Every regulator and indemnifier treats these tools as assistive: the clinician who signs the note owns it. Tell your team that plainly on day one — it sets the right review habit.

6. Do I need to tell my indemnity insurer? Ask them. Most insurers are comfortable with documentation assistance under clinician sign-off, but the answer should come from your insurer in writing, not from a vendor.

7. Is this a regulated medical device? Documentation, scheduling and billing assistance generally is not, because it does not diagnose or recommend treatment. Anything that suggests a diagnosis or a treatment decision is a different regulatory conversation — ask the vendor to state which category their features fall into.

8. Is the audit trail good enough for a complaint or subpoena? You want a record of who created a draft, who edited it, who approved it, and when. If a platform cannot show that, it is not ready for clinical use.

Consent and patient trust

9. Do I need consent to record a consult? Practically, yes — and it is also the right thing to do. In South Africa POPIA and in Australia the Privacy Act and state health-records legislation both treat consult audio as sensitive health information. Get consent, record that you got it, and give patients a straightforward way to decline.

10. What do I actually say to the patient? One sentence works: "I use a secure tool that helps me write my notes so I can focus on you — it records this conversation. Are you comfortable with that?" Most patients say yes. The ones who decline should cost you nothing more than switching the feature off for that visit.

11. Does the recording get kept? Ask how long audio is retained, whether it can be set to delete after the note is approved, and whether you can turn retention off entirely.

Privacy, data and where it lives

12. Is my patient data used to train AI models? This is the question to get in writing. The answer you want is no — patient data is processed to produce your output and not used for model training. Ask the same question about the vendor''s upstream AI providers, because that is where the exposure usually sits.

13. Where is the data stored, and who can reach it? Ask for the hosting region, encryption in transit and at rest, role-based access, and whether vendor staff can view patient records (and under what logged conditions). Regional storage matters for POPIA cross-border transfer rules and for Australian practices with state-level requirements.

14. What happens to my data if I leave? Get the export format in writing before you sign: notes, patient demographics, documents, invoices. This single answer predicts your next migration''s pain better than anything in the demo.

Workflow fit and cost

15. Will this actually save me time, or just move the work? The honest test is not consult-room minutes; it is what is still on your desk at 6pm. AI documentation only pays off if the note lands in the patient record you already use. A scribe that produces text you then copy into a separate system has moved the work, not removed it.

And the cost question underneath it: price the whole stack, not the headline. A separate scribe subscription per clinician, plus messaging bundles, plus a booking add-on, adds up faster than a single platform fee. Price your realistic 12-month headcount rather than today''s.

How to run the evaluation

1. Pick two platforms, not five.
2. Run each through one real week: a busy morning, an after-hours call, a mixed-funding invoice and one genuinely messy consult.
3. Track your edit rate on AI drafts and the time from consult end to signed note.
4. Get four things in writing: training use of patient data, hosting region, retention controls, export format.
5. Decide on which one leaves less work on your desk, not which demo was slicker.

If you want that run against your own workflow, see how our AI Scribe, AI Reception and AI Invoicing Heroes work, start a free trial, or book a walkthrough.