The administrative burden driving clinician burnout
Healthcare professionals spend nearly two hours on documentation and administrative tasks for every hour of direct patient care. Patient intake forms arrive on paper. Referral letters come as faxed PDFs. Lab results are emailed as image attachments. Insurance pre-authorisations require manual data re-entry into multiple portals.
Each of these documents contains structured information — names, codes, values, dates — that is immediately useful if it can reach the right system. The bottleneck is not data availability; it is the manual effort of extracting it.
DocPeel removes that bottleneck. Upload any clinical document and receive a structured JSON payload within seconds — ready to populate an EHR field, create a task, or trigger a workflow.
Document types DocPeel handles in healthcare
Patient intake and registration forms: extract demographics, emergency contacts, insurance details, and consent indicators from any form layout — paper-scanned or digital.
Referral letters: pull the referring physician, referred specialty, clinical summary, diagnosis codes, and urgency level from any referral format, regardless of which clinic or system generated it.
Prescriptions: extract medication name, dosage, frequency, route, prescribing physician NPI, and issue date. Works with both handwritten and printed prescriptions.
Lab reports: extract test names, result values, units, reference ranges, and collection dates — including panel results where many tests appear in a single report.
Insurance and billing documents: extract policy holder details, claim numbers, procedure codes (CPT), diagnosis codes (ICD-10), amounts billed, and payment status.
Handling variability in clinical document formats
Healthcare documents are among the most format-variable documents in existence. Every hospital, clinic, and laboratory uses a different form layout. The same information — a patient's date of birth — might appear in the header, the footer, or a field labelled "DOB", "Date of Birth", "Patient DOB", or simply listed after the patient's name.
Template-based extraction systems require a separate template for each source. When a referral network includes 40 clinics, that is 40 templates to build, maintain, and update every time a clinic changes their letterhead.
DocPeel has no templates by default. The model reads the document contextually, identifies fields from their meaning rather than their position, and extracts them consistently regardless of layout.
Security, compliance, and data handling
Healthcare documents contain sensitive personal and medical information protected under HIPAA, GDPR, and equivalent regional regulations. DocPeel processes documents in isolated per-job sandboxes — no cross-tenant data access, no shared processing infrastructure.
Source documents are discarded immediately after extraction unless you explicitly enable storage. Extracted data is never used for model training. Field-level masking allows you to receive only the fields your downstream system needs, implementing data minimisation at the extraction layer.
For teams operating under HIPAA, DocPeel's architecture supports the implementation of a Business Associate Agreement (BAA). Contact us to discuss your compliance requirements before processing protected health information.