{"uid":"cap_yqnZQatuyrUlGUlnYll0H","slug":"getautomatedrcm-com-healthcare-text-de-identification-scrub-14963b16","name":"getautomatedrcm.com Healthcare Text De-Identification (Scrub)","description":"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","url":"https://x402.getautomatedrcm.com/scrub","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to de-identify (2 KB max). SYNTHETIC/TEST DATA ONLY — do not send real PHI. Nothing is stored."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_a67uJWuLv1FKKIQHOTjUW","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Scrub this denial letter text for me — strip out any patient names, DOBs, member IDs, phone numbers, addresses, and SSNs, but keep the date relationships intact so I can still do timely-filing math: 'Patient John Smith (DOB 03/12/1965, Member ID 987654321) was denied on 2024-11-01 for service date 2024-09-15.'","exampleUseCases":[{"title":"Anonymize denial letter before AI appeal review","prompt":"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.'"},{"title":"Redact claim notes before audit logging","prompt":"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.'"},{"title":"Prepare RCM text for analytics pipeline","prompt":"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.'"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:41:15.788Z","isFirstParty":false}