Insights · Analytics

Archive Lab Values Like a Data Warehouse

We show you which metadata, storage locations, and workflows you need so no lab value disappears in emails anymore.

Focus

Lab Archive Health Data Warehouse Medical Record Automation
Analytics
Published: Nov 18, 2025 11 min read
Archive Lab Values Like a Data Warehouse

A central archive prevents duplicate tests and saves costs.

Why PDFs Aren’t Enough

PDFs aren’t searchable, aren’t linked, and disappear in mail threads. Without a structured archive, you can’t:

  • Compare trends
  • Avoid duplicate tests
  • Provide history to healthcare providers

Building a Lab Data Warehouse

  1. Ingress – Email forwarding, scan-to-cloud, and automatic wearable syncs into an inbox folder.
  2. Parsing – OCR + data fields (biomarker, unit, reference, lab, method).
  3. Storage – Versioned entries per marker with file attachment, comment, and permission status.

Required Metadata

FieldDescription
sampleDateTime of blood draw
contextTagse.g., “Marathon Prep,” “Infection”
reliabilityScale 1–5 depending on lab/test routine

Quickstart

  • Use a tool like Lab2go or your own Notion database with automations.
  • Create a trend chart per marker, then you spot outliers immediately.
  • Set permission levels (coach, doctor, partner) for GDPR-compliant access.

Conclusion

A clean archive saves you several lab visits per year, ensures traceable decisions, and forms the basis for AI-powered insights.

Discussion

Community comments coming soon. Until then, we welcome feedback and questions via email.

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