AI & automation · Practice guide

Make it easy to return incomplete work for clarification

Illustrative situation

A reviewer receives a document without the supporting information needed to make a decision. A reviewer cannot make a useful decision when the reason for a change or supporting material is missing. A clear return route saves repeated messages and makes it obvious who needs to supply the missing information.

Healthcare administration tools with a calendar tablet, organised correspondence and clock.
Save repeated work while keeping your team in control.

What this means for your practice

Define the submission requirements and a clear return-for-clarification route. Returning work should explain what is missing and who must act next.

An example to discuss with your team

Submit a fictional document with missing context.

Healthcare workflow automation linking incoming messages, document processing and task review.
Keep the normal route and the exception route visible.
Healthcare AI review with a draft document, source folder, inspection lens and approval checks.
Verify suggested output against appropriate sources.

A practical conversation with your supplier

Try a fictional submission without one essential attachment. The reviewer should return it with a specific explanation, and the author should know what to do next. Ask whether resubmission remains connected to the same review history. A rejected label alone does not help anyone finish the work.

Plan the first improvement

Agree the minimum supporting information for each type of review, keeping the list proportionate. Requiring everything imaginable slows straightforward work, while vague requirements create repeated returns. Ask reviewers which missing details genuinely stop a decision and use those to improve the submission instructions. A return for clarification should name the missing item and the person expected to provide it. It should also explain whether the reviewer is waiting or whether the work must be submitted again through a defined step.

Keep the discussion connected to the original request so a colleague taking over can see what has already been answered. Use a sample with two rounds of clarification to check that earlier corrections are not lost. When reviewing performance, distinguish unavoidable questions from repeated gaps that clearer instructions could prevent. The aim is to give reviewers enough reliable context and help authors complete the request, rather than make the approval screen reject as many incomplete forms as possible.

How to check the result

Count review delays caused by avoidable incomplete submissions.

Turn reading into a next step

Your action checklist

Work through these checks with your team or supplier. Tick the ones you have resolved and leave unknowns open.

Checks to discuss

Record what you know, what is still missing and the answer you need from your team or supplier.

Use project decisions only, without personal, patient or confidential details. Entries stay in this page and are not submitted to Kay & Co. Copy or download before leaving; this page does not save your notes.

Further reading

These sources provide background for the topic. The practice examples and checklist are illustrative planning suggestions from Kay & Co.

Related guides

Need help with this?

Tell us what is getting in the way. Kay & Co. can help you understand the options and turn the next step into something that works for your practice.

Explore ai & automation services or discuss your project.

Try the free Healthcare Digital Planner to find your starting priority.