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AI agent for data entry specialists

Quality Measure Data Validation Agent

Submitted quality measures are accurate, with error rates under the agreed limit

Quality Measure Data Validation Agent: what goes in, what the agent does and what you get

What it does

Quality measures are often reported with wrong data, and the errors surface during review. Before each reporting deadline, this agent samples records against the measure rules, such as the denominator, exclusions and time windows. It flags errors and sends them to the record owners with the evidence. After the corrections, it rechecks the same records and a fresh sample. If the error rate is still above the limit, it widens the sample and repeats. The administrator approves submission. Edge case: a record has a discharge date before the admission date, so the agent flags it as a data entry error rather than excluding it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Reporting deadline is approaching 2 USES A TOOL Pull records for each measure 3 DOES Sample records and test them against the measurerules 4 DOES List errors with the evidence and record owner 5 USES A TOOL Send the errors to the owners and track replies 6 USES A TOOL Recheck corrected records and a fresh sample 7 CHECKS THE RESULT Is the error rate under the limit? If not: widen the sample and repeat; recommend a fullreview if errors persist. Back to step 3. 8 DOES Prepare the measure results and error log 9 YOU APPROVE Administrator approves submission 10 RESULT Results submitted with the validation log
Read the steps as a list
  1. Reporting deadline is approaching
  2. Pull records for each measure
  3. Sample records and test them against the measure rules
  4. List errors with the evidence and record owner
  5. Send the errors to the owners and track replies
  6. Recheck corrected records and a fresh sample
  7. Is the error rate under the limit?If not: widen the sample and repeat; recommend a full review if errors persist. Back to step 3.
  8. Prepare the measure results and error log
  9. Administrator approves submissionThe agent waits here for your OK.
  10. Results submitted with the validation log

How it decides

A measure is ready when the sample error rate is under the limit after corrections. If not, the sample is widened until the limit is met or a full review is needed.

  • Accept a sample error rate below 2 percent
  • Treat impossible dates as data errors
  • Widen the sample by 50 percent after a failed check
  • Do not edit records, only flag them

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Error rate limit (default 2 percent)
  • Sample size
  • Measures covered
  • Owner contacts

What keeps you in control

It always asks you first

  • Submission of results

Hard limits

  • Never alter patient records
  • Never submit without approval

It stops when

  • Done: error rate under limit and submitted
  • Stop: deadline passes with no approval

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor a readmission measure the agent sampled 100 of 1,400 records and found 6 errors, mostly missing discharge dates. It sent them to owners. After corrections it rechecked 150 records and found 2 errors, 1.3 percent. The check passed, and the administrator approved submission three days before the deadline.

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