AI Clinical Summaries: A Review Checklist for GLP-1 Services
A practical checklist for reviewing AI-drafted case summaries in GLP-1 pharmacies and clinics, covering source entries, dates, missing information, clinical interpretation and approval.
An AI-drafted case summary may be easy to read and still need substantial checking. It might describe an old entry as recent, omit a patient message or turn a gap in reporting into a confident statement about treatment.
For a GLP-1 pharmacy or clinic, the useful question is not whether the draft sounds clinical. It is whether the reviewing clinician can establish what the draft is based on and correct it before use.
The checklist below is our suggested approach to reviewing a record-based draft. It is a workflow aid, not a clinical assessment tool, prescribing protocol or assurance that a particular product is suitable for your service.
Why review needs to be an explicit step
NHS England’s guidance on AI-enabled ambient scribing, updated in July 2026, calls for users to review and approve outputs before further action and for ongoing monitoring of output accuracy. It also describes hazards involving missing information, incorrect context and output errors.
That guidance concerns ambient scribing in England. A summary generated from structured patient records is a different use case. The publication is relevant background for review and governance, not a determination of the regulatory status of every AI summary product.
A record-based drafting workflow still needs to make the draft’s status clear. Staff should be able to distinguish generated text from a clinician’s approved document without relying on memory or a separate conversation.
1. Confirm the patient and review period
Start with the patient record and the dates the draft claims to cover. “Since the last review” is only useful if the starting point is identifiable.
For example, if a draft is meant to summarise entries after 1 September, a symptom recorded in August should not appear as a new development without explanation. A correct fact can be misleading when its timing is wrong.
Check that the document is attached to the intended patient and that any destination, such as a handover letter, is also correct before approval.
2. Check statements against the source entries
The reviewer should be able to inspect the records behind the summary. Those might include symptom entries, check-in responses, recorded weight, treatment history and patient messages, depending on the product’s defined inputs.
Read the source for meaning as well as matching numbers. “Patient recorded nausea on 12 September” describes an entry. “Patient is tolerating treatment poorly” introduces a clinical interpretation. The latter should not pass unnoticed merely because the former appears in the record.
If a statement cannot be traced to its source, resolve it or remove it from the draft. A reference marker alone is not a substitute for checking that the referenced entry actually supports the statement.
3. Preserve the distinction between no report and no problem
A patient who has not completed recent check-ins has not necessarily reported an absence of symptoms. Likewise, a dispensing record does not establish that a medicine was used on a particular date.
Useful wording keeps the observation intact:
- “No symptom entry was received during the review period.”
- “The patient reported an injection on 10 September.”
- “The record does not confirm subsequent medication use.”
These examples describe information and its limits. They do not decide what treatment a patient needs.
4. Look for omissions and conflicting information
A summary is selective by design. The reviewer needs to check whether that selection has left out information relevant to the purpose of the document.
For a follow-up conversation, an unresolved patient question may matter more than a tidy list of measurements. For a handover, the status of an outstanding review may be important. A draft cannot settle a conflict between two entries just by choosing one and presenting it fluently.
Keep the unresolved point visible and follow the service’s process for clarification. Do not create a clinical fact to complete a sentence.
5. Add clinical interpretation through the approved workflow
Record-based summarisation and clinical decision-making are different tasks. A clinician may need to interpret symptoms, assess the patient or make a prescribing decision. The drafting tool should not be assumed to have completed that work.
Check whether the output has introduced recommendations, diagnostic language, dose instructions or a ranking of clinical risk beyond its intended role. The service must assess the actual product and function it is using, rather than relying on a general claim that a clinician is “in the loop.”
For Cadence Assist, the intended role described on our dashboard page is drafting from available records for clinician review. It is not dose advice, diagnosis or clinical risk ranking.
6. Approve the final document and keep the review traceable
The workflow should make it possible to identify the draft, the reviewing clinician and the approved version. Staff also need to know whether the document has only been saved or has actually been sent or added to a clinical record.
A correction after sending is different from editing an unsent draft. Before adoption, ask the supplier how those states are represented and how the service handles an error discovered later.
Do not describe every action as reversible without checking its effect. Undoing a portal change does not necessarily withdraw a message already read by its recipient.
Test with records that are awkward to summarise
For a local evaluation, use approved synthetic or appropriately governed test records. Suggested examples include:
- a review period with no new entries;
- a patient report that conflicts with an older record;
- a measurement entered late but relating to an earlier date;
- an unanswered patient question;
- a reported treatment interruption with details still unconfirmed.
These are proposed test cases, not findings from a study. They help your team examine how a product represents uncertainty, dates and omissions before relying on polished demonstrations.
Questions for an AI summary supplier
Which records can the tool read? Ask for the actual input scope, including whether messages, archived entries or records from other systems are excluded.
Can the reviewer inspect the sources? Ask to see the route from a statement to its supporting entries, including what happens when information is missing.
When does text become approved? Ask how draft, edited, approved and sent states are shown, and who is authorised to move between them.
How are errors investigated? Ask what your service can inspect, how incidents are reported and what evidence is available about performance in the intended workflow.
To see record-based drafting in Cadence, book a dashboard walkthrough. Bring an example of the review or document your team needs to prepare, so the discussion starts with the workflow rather than a generic AI demonstration.