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Development and lmplementation of a Big Data-Driven Multimodal Intelligent System for Pre-anesthesia Assessment and Risk Evaluation

Development and lmplementation of a Big Data-Driven Multimodal Intelligent System for Pre-anesthesia Assessment and Risk Evaluation - Application Research of Preoperative Visit Data Collection System

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104035
Enrollment
Unknown
Registered
2025-06-10
Start date
2025-07-01
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

None

Interventions

All population group:NA

Sponsors

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Patients scheduled for general anesthesia surgery at the Ninth People's Hospital affiliated with Shanghai Jiao Tong University School of Medicine; 2.Aged 18 years or older;

Exclusion criteria

Exclusion criteria: 1.Patients with severe systemic underlying diseases, such as heart failure, respiratory failure, neurological or psychiatric disorders (including alcohol or drug abuse), organ transplant recipients, etc., which may affect the accuracy of preoperative assessment. 2.Patients with non-native language or language communication barriers. 3.Patients who do not follow instructions properly or are unable to complete facial scanning and voice collection. 4.Patients who cannot comply with the study protocol or complete the study for other reasons.

Design outcomes

Primary

MeasureTime frame
Automatically generated preoperative assessment data: including the Mallampati score, neck mobility, mouth opening, thyromental distance, temporomandibular joint mobility, etc;

Secondary

MeasureTime frame
Time taken by the system to complete the preoperative visit;Satisfaction of patients and their families;The accuracy of voice information transcription;Physicians' satisfaction with the system's assessment results;Automatically generated American Society of Anesthesiologists Physical Status Classification;

Countries

China

Contacts

Public ContactJia Yan

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine

mzkyanj@163.com+86 18019790783

Outcome results

None listed

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