Agent 29 · Healthcare
LabLink Agent
Alerts on critical lab values (demo only).
Demo onlyDeferred (demo)LangGraph
Demonstration only. This agent runs on synthetic or public sample data and is not offered for real patient data.
Found118
Fixed + verified118
Held for approval0
Recall1.00
One offline run on demo data with planted problems (recorded platform test, November 2026).
How LabLink heals data, step by step
INData inSynthetic lab results.
01Detect118 problems found
02Diagnose3 problem types named
03Plan118 safe to fix · 0 need a person
04Fix + verify118 fixed and re-checked
05ReportPlain-English report and Control Tower record
- Client problem
- Critical results wait in queues.
- What it does
- Finds missing values, critical values and abnormal results with no follow-up.
- How it heals
- Raises alerts and follow-up tasks.
- Human gate
- Clinicians act on alerts.
- Typical buyer
- Labs (deferred)
- Built with
- LangGraph self-healing loop
- Demo data
- Synthetic lab results.
- Tables
- lab_results ← synthetic
- Target outcome
- Demo only.
- Path to production
- Deferred.
Issues detected on the demo data
| Issue | Risk | Proposed fix | Count |
|---|---|---|---|
| missing_value 'value' is empty | low | Request re-run from the lab | 4 |
| critical_value Hemoglobin 6.3 g/dL beyond critical limits | low | Alert on-call doctor immediately and log acknowledgement | 74 |
| abnormal_no_followup Hemoglobin 11.25 outside reference range | low | Create follow-up task for the ordering doctor | 40 |
How we demo it
- Run LabLink on synthetic results.
Built on AWS
Runs in the platform container on EC2 Graviton (or on demand in Lambda), writes healed tables to the S3 lakehouse, uses Amazon Bedrock only to write explanations, and reports six metrics to CloudWatch.
Step into DigiQuench.
Agents that heal your data.
Watch an agent find planted problems, fix the safe ones and wait for your approval on the rest. Thirty minutes, live.