General Practice Triage and Referral Constraint Validation Benchmark

#triage constraint verification #referral appropriateness assessment #conflict detection #primary care triage #patient referral management #clinical decision support

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This benchmark organizes general practice cases in JSON, covering patient symptoms, illness progression, vital signs, red flags, and proposed management or referral levels, together with the applicable triage rules and expected constraint judgments. Focused on urgency assessment and disposition matching in primary care, it supports evaluation of whether models can detect mismatches between patient information and proposed actions, as well as research into constraint reasoning and domain-specific evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
patient_case	object	Patient presentation and proposed disposition provided as the source case data.
triage_rules	array	Rules used to assess whether the proposed disposition is appropriate for the case.
expected_constraint_judgment	object	Reference assessment based on the patient case, proposed disposition, and applicable triage rules.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: Each case provides a structured JSON record of the patient presentation and proposed disposition, along with triage rules and an expected constraint judgment for assessing whether the proposed action is appropriate.

Which capabilities can this benchmark evaluate?: It can evaluate urgency assessment, referral or disposition level selection, and a model's ability to detect mismatches between case details and proposed actions using symptoms, vital signs, and red flags.

Which applications is the dataset suitable for?: It is suitable for model evaluation in general practice and family medicine, constraint reasoning research, clinical decision support prototyping, and triage rule validation. It is intended for research and evaluation, not as a substitute for professional clinical judgment in real patient care.

How can I access the data, and what are the licensing terms?: Refer to the product page for available download methods, format details, and license terms. Before use, confirm the permitted scope and whether additional restrictions apply to research or commercial use.

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Cite this Work

@dataset{Mobiusi2026,
  title={General Practice Triage and Referral Constraint Validation Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/577485b3c04e33e9e5303af30cda7790},
  urldate={2026-10-13},
  keywords={general practice triage dataset,triage constraint validation,referral decision benchmark,healthcare AI benchmark,clinical reasoning data,red flag detection,primary care evaluation,JSON medical data},
  version={1.0}
}

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