Real-world Effectiveness Evaluation of Clinical Decision Support System Based on Artificial Intelligence (AI-CDSS)

Peking University

Status: Completed

Conditions: Medical Informatics Applications

Treatments: Other: Auxiliary diagnostic system by AI-CDSS

Study type: Observational

Funder types: Other

Identifiers

NCT05065931

324-01

Details and patient eligibility

About

This study intends to explore the accuracy of clinical diagnosis of AI based CDSS system and promotion of clinical work by comparing CDSS before and after the online.

Full description

This study intends to explore the accuracy of clinical diagnosis of AI based CDSS system and promotion of clinical work by comparing CDSS before and after the online. The difference of diagnostic accuracy before and after AI-CDSS application will be compared by the before and after design, and the role of AI-CDSS will be explored.

Enrollment: 34,113 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• all hospitalized patients in 6 clinical departments, Otolaryngology, Orthopaedic, Respiratory Medicine, General Surgery, Cardiology and Hematology from December 2016 to February 2019.

Exclusion criteria

• Missing data for key variables

Trial design

34,113 participants in 2 patient groups

Before

Description:

before CDSS on-line

After

Description:

after CDSS on-line

Treatment:

Other: Auxiliary diagnostic system by AI-CDSS