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AI agent for clinical data managers

Safety Event Reconciliation Agent

Make serious adverse event records agree between the safety and clinical systems

Safety Event Reconciliation Agent: what goes in, what the agent does and what you get

What it does

A serious adverse event is recorded in the safety database with one onset date and in the clinical database with another, and the study report cannot be locked until they match. This agent compares event records between the two systems: subject, event term, onset and stop dates, seriousness, outcome and causality. It finds records that exist in one system only and records that differ. It classifies each difference as a coding variance, a date mismatch, a missing record or a real conflict, and raises queries to the site or the safety team with the specific field. It checks responses, updates the comparison and repeats until the systems match. The manager approves the final reconciliation. Edge case: dates differ by a day due to time zone, so the agent notes it as a recorded variance.

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
ApprovedYes, continueApprovedNo 1 STARTS WHEN Reconciliation cycle 2 USES A TOOL Load events from both systems 3 DOES Match records by subject, event and date 4 DOES Classify differences as coding, date, missing orconflict 5 DOES Draft queries with the specific fields in question 6 YOU APPROVE Manager approves the queries 7 USES A TOOL Send queries to the site or safety team 8 USES A TOOL Read the responses and reload both exports 9 CHECKS THE RESULT Do the two systems now agree on all key fields? If not: reclassify the remaining differences and raisenew queries. Back to step 3. 10 YOU APPROVE Manager approves the final reconciliation 11 RESULT Reconciliation report with documented variances
Read the steps as a list
  1. Reconciliation cycle
  2. Load events from both systems
  3. Match records by subject, event and date
  4. Classify differences as coding, date, missing or conflict
  5. Draft queries with the specific fields in question
  6. Manager approves the queriesThe agent waits here for your OK.
  7. Send queries to the site or safety team
  8. Read the responses and reload both exports
  9. Do the two systems now agree on all key fields?If not: reclassify the remaining differences and raise new queries. Back to step 3.
  10. Manager approves the final reconciliationThe agent waits here for your OK.
  11. Reconciliation report with documented variances

How it decides

It matches records by subject and event, treats differences in key fields as discrepancies, and closes each only when both systems agree or a variance is documented.

  • Compare subject, term, dates, seriousness, outcome and causality
  • Accept a one-day date difference only with a documented time zone reason
  • Treat a record missing from one system as a priority discrepancy
  • Do not close a conflict without a written answer

Make it yours

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

  • Fields to compare
  • Date tolerance rule
  • Query template
  • Cycle schedule
  • Systems and export formats

What keeps you in control

It always asks you first

  • Manager approves queries
  • Manager approves final reconciliation

Hard limits

  • Never edit either database
  • Never contact subjects, only sites and teams

It stops when

  • Done: systems agree or variances are documented and approved
  • Stop: a conflict needs a medical decision

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 happensA cycle compared 64 events. Fifty-one matched. Nine had date differences, three were missing from the clinical database and one had a different outcome. The agent raised 13 queries. After responses, 11 matched but 2 date queries returned dates that disagreed with both systems, so the check failed. It raised new queries to the site. After round two all matched, and the manager approved.

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