Free Guide for Patients, Patient Advocates & Healthcare Finance Teams
A practical guide to decoding medical bills with AI — and checking them before you pay.
How patient advocates, billing teams, and healthcare finance replace manual medical bill data entry with an upload-review-export workflow.
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Hospital bills run many pages, and most line items are in codes nobody explains.
Billing errors happen — duplicate charges, wrong codes, services that don't match the visit.
It is hard to tell whether charges match what your insurance already processed.
Disputing a bill means manually cross-referencing the bill, the EOB, and your policy.
Billing departments run on short payment timelines, so slow review costs you options.
Four steps, from document to structured data:
Hospital itemized bills, clinic statements, lab and imaging bills — PDF, scan, or photo.
Provider, dates of service, line-item charges with procedure codes, adjustments, insurance payments, and the balance due.
With both documents structured, mismatches between billed amounts and what insurance allowed become easy to see.
Export the itemized data to share with the billing office, your insurer, or a patient advocate.
Combine automation with explicit review and source-document checks. Test representative inputs, use confidence signals, and define quality checks before you automate higher-volume work.
Convert supported medical bills into consistently named data for review and export.
Route uncertain fields to a person instead of treating every extracted value as equally reliable.
Evaluate the workflow with your own layouts and image-quality range before scaling.
Move from manual uploads to an integrated workflow after review rules are established.
Verify sensitive tax, legal, medical, and financial fields before downstream use.
Every extraction returns these fields as structured data with per-field confidence scores:
Extracted bill data exports as CSV/Excel or JSON — useful for advocates reviewing bills at volume via the API, and for patients who want a clean itemized record to reference in billing conversations.
The AI Document Automation Playbook
A free PDF playbook covering AI extraction workflows, quality control, batch processing, and API integration. Its examples come from tax-document operations, and the workflow chapters apply directly to medical bill processing.
9 practical chapters covering evaluation, review, integration, and operations.
Identify where medical bill data enters, who reviews it, and where the approved result goes.
Build a test set covering common layouts, scans, photos, and known edge cases.
Upload a supported file and inspect the returned fields, structure, and confidence signals.
Set thresholds and source-document checks for fields that matter to the decision or filing.
Map reviewed JSON, CSV, or Excel fields to the destination system.
Introduce higher-volume processing only after the single-file workflow is reliable for your inputs.
Use authentication, retries, validation, and exception handling in an integrated workflow.
Confirm access, retention, deletion, and audit requirements for the data you process.
Track review outcomes, add edge cases to the test set, and revisit thresholds as layouts change.
Intake forms, processing checklists, and quality-control templates.
A consistent checklist for comparing document-parsing tools and workflow fit.
Authentication, structured output, validation, and error-handling patterns.
Provider & patient name; Service dates; Procedure/CPT codes; Line-item charges; Insurance adjustments & payments; Patient balance due. Each field comes back with a confidence score, and results export to JSON, CSV, or Excel.
No. The core workflow is upload, review, and export, all in the browser. Developers can additionally use the REST API and batch upload, but nothing requires code.
PDF (including scanned), PNG, JPG, and WEBP. Native PDFs, scans, and phone photos all work, with confidence scores flagging anything hard to read.
Your first 3 documents are free with no credit card. Paid plans start at $9/month, and every plan includes API access and all export formats.
No. It focuses on document intake, representative testing, confidence-based review, structured exports, API integration, and exception handling.
The early chapters use the browser-based workflow. The API section is optional and intended for teams that want a programmatic integration.
The core workflow is tool-agnostic and emphasizes evaluation criteria you can apply to document-extraction products, including this one.
Check this page for the current version as the product and recommended review practices evolve.