AI summarisation is good at one thing doctors often lack time for: reading through a lot of recorded information and pulling out what looks relevant. It is not good at knowing what it doesn’t know. Responsible use starts from that difference.
Treat summaries as drafts
A summary is a starting point for review, not a conclusion. It can leave out an important detail, misread a value from a scanned report, or overweight something minor. The doctor’s review is not a formality; it is the safety step.
Insist on sources
Every summarised point should link back to the visit, note or report it came from. If you can’t check it quickly, you can’t rely on it.
Keep authorship clear
AI-drafted text and clinician-authored notes should never look the same. When a colleague reads the record later, they need to know who wrote what.
Don’t ask it to decide
Organising history and highlighting open items is a reasonable use of AI. Diagnosing, choosing treatment or replacing an examination is not. At Arogyam Rx, Arogyam Intelligence is designed to summarise recorded information only — it does not diagnose or prescribe.
Ask where the data goes
Before adopting any AI tool, ask the vendor what happens to patient data sent for processing, where it is processed, and whether it is used to train models. You should get a clear written answer.
A simple test
If the AI feature disappeared tomorrow, would your clinical decisions be any less safe? If the answer is yes, it has been given too much responsibility.