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UK Healthcare Intelligence
The world's best Fit Note extraction
Process UK Statement of Fitness for Work with precision. Extract assessment outcome (fit, may be fit, not fit), condition diagnosis, workplace adjustments, and validity period from Fit Notes. Support HR absence management and return-to-work planning.
fit-note-2024.pdf
Statement of Fitness for Work
Patient
Emma Richardson
25 Oak Lane, Bristol, BS1 4AB
123 456 7890
Doctor
Dr Sarah Mitchell
1234567
Clifton Medical Practice
100 Queens Road, Bristol, BS8 1QU
Assessment
may be fit for work
Lower back strain
Recommendations
Avoid heavy lifting. Recommend sit-stand desk and regular breaks. Start with half days for first week.
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Upload your Fit Note to generate a structured view.
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Upload your Fit Note to generate a structured view.
Connect Fit Notes across your stack
DocuPipe captures Fit Notes from employee submissions or HR uploads. Extract fitness assessment and recommendations, then route to HRIS for absence tracking.
Sources
HRIS
Cloud Storage
Scanner
Destinations
HRIS
Payroll
Absence System
API
Extract fields. Consistently.
Your business has specific documents with your own rules of how you need to understand them and act on them. Define exactly what you need to extract, reliably, for any layout and language.
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Fully secure. Always.
Your documents are your own and never shared for any reason. DocuPipe encrypts all documents in transit and at rest, and has undergone formal certification to become SOC‑2 and ISO 27001 compliant, ensuring that the highest standards of information security are met. DocuPipe is both GDPR and HIPAA compliant.
Better in every way
Experience accuracy, flexibility, and speed with DocuPipe.
| Feature | DocuPipe | Textract | Google OCR | GPT |
|---|---|---|---|---|
| OCR printed text | ||||
| Handle simple tables | ||||
| Handle long documents | ||||
| OCR handwriting | ||||
| Nested tables | ||||
| Complex forms | ||||
| Crossed out text | ||||
| Support for 60+ languages | ||||
| AI document standardization | ||||
| Speed | ||||
| Document type classification | ||||
| Document Splitting | ||||
| Highlight information source on document | ||||
| Visual Review |
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