Primary Care Prescription Medication Constraint Verification Benchmark Dataset

#prescription constraint verification #drug interaction detection #dosage appropriateness assessment #primary care prescription review #medication safety assessment #clinical decision support
  • 5000
  • 0.5GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-25

AI Analysis & Value Prop

This structured JSON benchmark records patient information, proposed medications, and prescription regimens, with labels indicating whether relevant medication constraints are violated. It covers review factors such as allergies, concomitant medications, dosage, and renal function, supporting evaluation of constraint reasoning, violation detection, and result explanation in primary care prescription review.

Dataset Insights

Sample Examples

{}

Technical Specifications

FieldTypeDescription
file_namestringFile name
violationsarrayConstraints violated by the proposed prescription, with supporting rationale and evidence.
review_summarystringA concise explanation of the overall prescription verification result.
patient_contextobjectStructured patient information used as input for prescription constraint verification.
proposed_prescriptionobjectThe medication and regimen assessed for potential constraint violations.
is_prescription_acceptablebooleanIndicates whether the proposed prescription complies with the medication constraints being assessed.

Compliance Statement

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

Frequently Asked Questions

What does the dataset contain?
Samples provide structured JSON records of patient information, proposed medications and regimens, prescription acceptability judgments, constraint violations with supporting evidence, and concise review summaries.
Which capabilities can this dataset evaluate?
It can evaluate whether a model reviews a proposed prescription in light of patient context, detects issues related to allergies, concomitant medications, dosage, or renal function, and provides a reasoned explanation.
What format is the data provided in?
The described data structure is JSON, with fields for patient context, proposed prescription, acceptability, violations, and a review summary. Refer to the product delivery details for the specific file organization and sample count.
How can I access the dataset, and what are the licensing terms?
Access options, permitted uses, and restrictions are determined by the product listing or accompanying license terms. Confirm the applicable terms before use, and have qualified professionals review any conclusions used in clinical or research settings.

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Cite this Work

@dataset{Mobiusi2026,
  title={Primary Care Prescription Medication Constraint Verification Benchmark Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/8e02c23bd088acd3e38579c2fc44feb5},
  urldate={2026-10-12},
  keywords={primary care prescription review,medication constraint verification,prescription safety dataset,drug interaction review,dosage appropriateness assessment,renal dosing review,clinical reasoning benchmark,healthcare AI evaluation},
  version={1.0}
}

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