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Construction of an Intelligent Quality-Control Model for Pediatric Admission Records Based on Large Language Models and Expert-Level Fit Analysis

Construction of an Intelligent Quality-Control Model for Pediatric Admission Records Based on Large Language Models and Expert-Level Fit Analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117458
Enrollment
Unknown
Registered
2026-01-23
Start date
2026-01-23
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None

Interventions

Observation group:N/A

Sponsors

Chongqing Health Center for Women and Children
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 14 Years

Inclusion criteria

Inclusion criteria: 1.Admission records written by the attending physician for pediatric inpatients (age <= 14 years).

Exclusion criteria

Exclusion criteria: 1.Missing key medical-record fields (chief complaint, diagnosis) and cases involving rare diseases or special conditions.

Design outcomes

Primary

MeasureTime frame
Rationality Assessment;—

Countries

China

Contacts

Public ContactLi Guangying

Chongqing Health Center for Women and Children

118104@hospital.cqmu.edu.cn+86 23 6382 3041

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026