Anonymized Blood Test Reports

Text
Healthcare
Fine-tuning LLMs
Assisted Medical Diagnosis
English

The Anonymized Blood Test Reports dataset features 100,000 de-identified lab reports submitted during patient consultations worldwide. Written in English and compliant with HIPAA Safe Harbor standards, each report contains approximately 1,500 to 2,000 words of structured medical information, including test names, biomarkers, units, reference ranges and diagnostic interpretations. Ideal for developing AI tools in medical reasoning, LLM-based diagnostics and healthcare decision support systems.

170_Anonymized Blood Test Reports.jpg

Type

Text

Amount

100,000 reports

Field

Healthcare

Region

English

Use this dataset for:

- Health Monitoring Applications: Develop tools that track biomarkers and flag out-of-range results for chronic conditions like diabetes or liver disease.

AI use cases:

- Medical LLM Fine-Tuning: Train large language models to understand, summarize and interpret clinical lab reports for healthcare assistants or patient-facing tools.

- Red Flag Detection Systems: Train alert systems to identify critical values and suggest medical follow-up.

Technical Specifications

  • Type: Text
  • Quantity: 100,000 reports
  • Domain: Healthcare
  • Language: English (en-XX)
  • Metadata: Named Entities: Test names (e.g., CBC, HbA1c, LFT), Biomarkers (e.g., Hemoglobin, Creatinine, TSH), Units (e.g., mg/dL, IU/L), Reference ranges Interpretation remarks (e.g., high, low, normal), Report type (e.g., blood test, hormone panel, infection screen), Clinical relevance (e.g., diabetes monitoring, liver assessment), Result interpretation (e.g., abnormal, critical, within range), Specialty mapping (e.g., endocrinology, oncology, nephrology), Red Flags: Flags for clinical alerts or follow-up recommendations.
  • File Format: PDF
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