Referral letters, Healthlink habits, and AI notes
Can AI-assisted notes make referral letters faster without creating generic letters nobody wants to read?
The danger with AI referral letters is that they can sound polished while saying very little. A consultant needs to know why the referral is being made, what has changed, and what question is being asked.
Microdoc is useful if it keeps the clinical context from the note and turns it into a letter that I can review quickly.
The best referral letters are not always long. They are clear about the clinical question, relevant history, medications, tests, and urgency.
Any AI tool should help the referring doctor express that, not pad the letter with generic language.
We still need a human review step before letters leave the clinic. The difference is whether the draft is close enough to review or needs to be rewritten.
Microdoc is better when the draft already knows it is a letter and not just a note summary.
For referrals coming out of chronic disease reviews, the medication and recent results are often the important part. If those are missed, the letter is less useful.
I would test any product on real referral scenarios, not only on neat demo notes.
The operational problem is knowing which letters are drafted, which need doctor review, and which have been sent. AI does not help if it creates another folder of unapproved text.
Microdoc is compelling if it keeps referral letters inside a visible review flow.
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