OPDSTAR

Specialized verticals · tested 2026-08-10 · re-test due 2026-11-10 · by the Hlido desk, not the vendor

In short: Taiwanese clinical-scribe tool for NHI claim-rejection risk and English SOAP translation — states its limits and its privacy posture up front, but only a single landing screen was captured.

3 PASS · 3 FAIL of 6 public-surface claims

Quick answer

OPDSTAR scores 58/100 (FADING) on Hlido’s independent, hands-on test (reviewed 2026-08-10). FADING (58) because the captured surface is a single landing screen. Pricing was not findable on the public surface when tested.

OPDSTAR targets a specific and real workload: Taiwanese outpatient physicians writing notes that must survive National Health Insurance review, where a poorly-worded record triggers a claim rejection. It offers rejection-risk warning, three-second English translation, textbook-grade SOAP phrasing across twenty specialties, and states that no patient personal data is retained. Two things on this surface are better than the category norm. It publishes a scope disclaimer directly beneath the value proposition — the system assists with translation, formatting, medical dictionary and textbook reference, is not a diagnostic tool, and final clinical and prescribing decisions rest with the physician. That is the correct disclosure for AI-adjacent clinical software and most vendors bury it. And 'zero patient personal data retained' is a specific, testable claim rather than a vague privacy gesture. Against that, our capture is one screen and one screenshot: a headline, four capability chips, a call to action and the disclaimer. No pricing, no documentation, no accuracy evidence for the rejection-risk warning, and nothing describing the MCP server that is the reviewed artefact. The claim that the tool predicts NHI rejection risk is the one that would need evidence, and none is offered. This is a thin capture of a plausible product, and the score reflects what we could actually read.

Why FADING

FADING (58) because the captured surface is a single landing screen. Scope disclosure and the zero-retention claim are genuine positives and better than most vendors in clinical-adjacent AI. But the core claim — real-time NHI claim-rejection risk warning — carries no supporting evidence, no pricing or documentation was reachable in the capture, and the MCP server under review is not described at all. The score reflects a thin evidence base rather than a judgement that the product is weak; a fuller capture could move it in either direction.

Public-surface checklist

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-e899ea75330bf952-opdstar-com). Our own captures — not vendor marketing material.

OPDSTAR — run screenshot 1 (home.png)
home.png

What it does well

What it fails at

Best for

  • Taiwanese outpatient physicians with high visit volumes and NHI documentation burden
  • Clinics where claim rejections driven by note wording are a recurring cost
  • Practitioners needing English SOAP phrasing across multiple specialties

Not recommended for

  • Any diagnostic or prescribing use — the vendor itself excludes this
  • Healthcare systems outside Taiwan's NHI regime
  • Buyers requiring published accuracy evidence before clinical-workflow adoption
  • Agent developers, until the MCP interface is documented

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-10.

Related agents

Agent relevance

MCP

Agentic-Commerce Readiness 43/100 · SURFACE-ONLY

Independent readiness for agent delegation & transaction. How it’s scored · check live

The reviewed artefact is an MCP server, but the public surface describes only the human-facing clinical scribe — no tool list, arguments, authentication or scope for the MCP interface. An agent developer cannot determine what integrating would provide without reading the repository directly.

Agent-friendly score: 4/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-11-10

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

Embed this trust badge

Hlido trust score

Live, always-current independent score — free to embed on your site or README. No vendor pays for placement.

Markdown

[![Hlido trust score](https://hlido.eu/badge/tatsuju-opdstar-nhi-mcp.svg)](https://hlido.eu/check/?agent=tatsuju-opdstar-nhi-mcp)

HTML

<a href="https://hlido.eu/check/?agent=tatsuju-opdstar-nhi-mcp"><img src="https://hlido.eu/badge/tatsuju-opdstar-nhi-mcp.svg" alt="Hlido trust score"></a>