About RemoteNurse

What RemoteNurse does

RemoteNurse teaches remote healthcare desk work and NCLEX-style exam practice in one account. The medical VA side has 16 courses and 440 short lessons, each ending in a practice case, and 442 scored cases built from made-up patient files. Call Desk rehearses phone calls with an insurance company, Interview Studio rehearses interview answers, and Career Studio builds a resume. The NCLEX® side has a bank of 2,600 NCLEX-style questions in 12 formats, four readiness practice forms, and a rationale after every answer. Job boards, an application tracker and a directory of agencies that hire medical VAs sit in the same account.

What makes RemoteNurse different

• Fictional patients only. Every case is built on open-source fictional patient data (Synthea, in FHIR R4 format), so no protected health information ever enters RemoteNurse.
• Fixed rules set every score. The Case Judge scores evidence for each of the six functions in the NCSBN Clinical Judgment Measurement Model, so educators can read the scoring.
• Open about how content is made. Content is drafted with AI, grounded in a public source registry and cleared by automated checks. It is not individually reviewed by a licensed clinician, and RemoteNurse says so instead of claiming expert review.
• A free core. All 16 courses and all 442 scored cases are free. Plus adds the full question bank, the readiness forms, full reviewers, the full PDF editor and AI feedback.
• Neutral comparisons. If you are comparing NCLEX® prep, RemoteNurse publishes side-by-side pages on UWorld, Archer Review, SimpleNursing and NCLEX Bootcamp, with each company’s claims marked as theirs.

Who uses RemoteNurse

• Philippines-licensed nurses and healthcare BPO staff moving into medical VA work.
• US bedside nurses moving off the floor into review roles. Utilization review generally requires a US registered-nurse license.
• Nurses preparing for the NCLEX-RN® who want NCLEX-style practice with a rationale after every answer.
• Career changers: most roles RemoteNurse covers do not require a nursing license, and several need no clinical background. Each role page states plainly whether a license is needed.

Companies and educators have their own pages: For companies and For educators.

Who makes RemoteNurse

RemoteNurse is built by an independent developer. Its questions and lessons are original works, written with open resources and public sources as references, and those references are listed on the credits page. To report a problem, use the support page or write to hello@remotenurse.org.

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How the content is made

RemoteNurse teaches review-nursing workflows through practice cases, lessons, and a glossary. This page states plainly how that content is produced, what it is grounded in, what we check before it goes live, and - just as plainly - what we do not do. If anything here reads as a hedge, it is not one; it is the method.

Content is drafted with AI

RemoteNurse practice content is AI-generated. Cases, lessons, and glossary entries are drafted with AI and then put through the automated checks described below. We state this openly because how content is made is something you deserve to know before you rely on it.

Cases are grounded in fictional patient data

Every case is built on open-source fictional patient data - Synthea, in the FHIR R4 format. The people in our cases are generated, not real, and no protected health information ever enters RemoteNurse. Do not enter real patient data into any field; this is a practice environment, not a clinical or payer system.

Facts are grounded in cited authoritative sources

Regulatory and clinical facts are tied to a tiered registry of authoritative sources rather than to a model’s memory. The tiers run from law and regulation (the eCFR) through federal agencies (CMS, HHS OIG, AHRQ), to standards and accreditation bodies (NCQA, URAC, NCSBN, ANA) and the certification bodies that grant review-nursing credentials. When content states a rule, that rule is cited to its source, and the source registry itself is public on our evidence page.

What we check before release

Before any content is published, it must pass a stack of automated checks:

• Schema checks that the content is well-formed and complete.
• A content-safety gate.
• An accuracy lint pinned to the regulated values, so time limits and clocks match the rules that set them.
• A forbidden-claims lint that blocks overclaims and uncited deadlines.
• A concept-canon check that flags text contradicting the verified facts it references.
• Source-registry checks that every cited domain is on the allowlist and every source link is still live.
• A Case-Judge solvability check, so every case can actually be worked to a verdict.
• Golden-fixture replay, so known-good cases keep scoring the way they should.

Proprietary criteria

Commercial review criteria such as MCG and InterQual are named only as neutral concepts, so you know they exist and what role they play. Their proprietary content is never reproduced, paraphrased, or taught here.

Report a possible inaccuracy

If something reads wrong, tell us. Use the support page and pick “Case content feedback” or “Report an issue,” or write to us directly athello@remotenurse.org. We read every report and correct what we get wrong. For a short summary of what RemoteNurse is and what it won’t promise, read Is RemoteNurse legit?

The research behind RemoteNurse

The evidence for the method, and the source registry behind every number RemoteNurse publishes, are on Why case simulation works. That research is cited for the method, not as a claim about any learner’s outcome.