Research and development of a fully intelligent and automated control system for the entire process of outpatient (emergency) diagnosis and treatment information pages driven by medical large models

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600127646

Enrollment

Unknown

Registered

2026-07-03

Start date

2026-09-01

Completion date

Unknown

Last updated

2026-07-13

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

Conditions

None

Interventions

Testing group:Group

Training group:Group

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Patients who have formed complete medical records (including basic patient information, relevant diagnosis and treatment records, etc.) in the information system;

Exclusion criteria

Exclusion criteria: 1.Patients with incomplete medical records in the information system;personnel working in the pilot department but whose positions have nothing to do with the outpatient patient flow line and platform usage, such as administrative and logistical staff.

Design outcomes

Primary

Measure	Time frame
Accuracy of models;Defect Rate of Outpatient & Emergency Treatment Information Pages;Response Time for Quality Control Requests;	—

Secondary

Measure	Time frame
System Data Security Compliance;System Operational Stability;	—

Countries

China

Contacts

Public ContactLi Xiaoxu

Meishan City Peoples Hospital

38936174@qq.com+86 28 38224173

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026