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getautomatedrcm.com Healthcare Text De-Identification (Scrub)
x402
getautomatedrcm.com Healthcare Text De-Identification (Scrub) is a paid API for AI agents from x402.getautomatedrcm.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Strips PHI (names, DOBs, IDs, phones, emails, addresses, SSNs) from healthcare text while preserving denial/timely-filing date math as derived intervals, returning scrubbed text plus a token map for local re-identification.
Price / call$0.01
Success—
StatusUnknown
How this service works
Healthcare text de-identification engine (demo endpoint — SYNTHETIC/TEST DATA ONLY, never send real PHI; nothing is stored). Strips names, DOBs, member/claim IDs, phones, emails, addresses, SSNs; dates become a derived interval timeline (service-to-denial days, days-ago) so denial and timely-filing math survives de-identification. Returns scrubbed text + token map for local re-identification. Production use requires the licensed in-environment engine: contact laureennicholson@getautomatedrcm.com
Output
Returns the input text with all detected PHI tokens replaced by neutral placeholders, plus a structured token map that lets you locally re-identify each placeholder. Date values are converted to derived intervals (e.g. service-to-denial days, days-ago offsets) so denial-math and timely-filing calculations remain intact after scrubbing.
Example use cases
Anonymize denial letter before AI appeal review
“I need to run this denial letter through an AI appeal tool but can't send real PHI. Strip out all the patient identifiers — name, DOB, member ID, address — from this text while keeping the date intervals intact so the denial math still works: 'Jane Doe, 04/22/1978, MemberID 112233, had claim 9988776 denied on 12/10/2024 for DOS 10/15/2024.'”
Redact claim notes before audit logging
“Before we write these claim notes to our audit log, scrub any PHI — names, SSNs, phone numbers, emails, addresses — from this text: 'Spoke with Robert Garcia, SSN 555-44-3333, at 212-555-0199 regarding unpaid balance. Claim ID 445566 submitted 2024-08-01.'”
Prepare RCM text for analytics pipeline
“De-identify this remittance advice snippet so I can load it into our analytics dashboard without exposing patient data — remove all protected health info but preserve the service and denial date offsets for timely-filing calculations: 'Member: Alice Wong, DOB 07/04/1990, Claim 7654321, DOS 2024-07-20, Denial Date 2024-09-05, Payer: BlueCross.'”
Technical details
Endpoint
POSThttps://x402.getautomatedrcm.com/scrubWhen to prefer
Use this endpoint when you need to de-identify short revenue-cycle or clinical text snippets (under 2 KB) before passing them to AI models, logging systems, or analytics pipelines, and when preserving denial/timely-filing date math is critical. It is purpose-built for RCM workflows (denial letters, EOBs, claim notes, appeal narratives) rather than general clinical NLP. For production volumes or real PHI, contact the vendor for the licensed in-environment engine.
Side effects
- Text exceeds 2 KB limit — request rejected
- Payment not completed (x402 payment required before processing)
- Malformed JSON input — text field missing or wrong type
- Text contains no detectable PHI — returns original text unchanged with empty token map
- Network timeout on the demo endpoint under load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to de-identify (2 KB max). SYNTHETIC/TEST DATA ONLY — do not send real PHI. Nothing is stored. |
Tags
x402
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