Health TrialsbyHealthPanel

AI-assisted Quality Control Study of Multimodal Data in the Epidemiological Survey of Shanghai Nicheng Cohort Study

ConditionsQuality ControlCohort Studies
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorShanghai 6th People's Hospital

About this trial

This study is based on the Nicheng Cohort study. This study intends to analyze whether AI assistance can effectively improve the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys based on traditional quality control processes.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Be proficient in using computers;

The person responsible for questionnaire quality control needs to have good dialect recognition ability;

Have a basic understanding or high acceptance of AI-assisted tools, and be able to adapt to the learning and application of new technologies

Be able to participate in the research throughout the process, abide by the research process, receive training, and be willing to complete quality control tasks as required.

Disqualifiers

The person responsible for questionnaire quality control cannot understand or recognize Shanghai Nanhui dialect proficiently;

Unfamiliar with AI-assisted tools and difficult to accept technical operations;

Unable to participate in the research, receive training or complete the specified tasks due to other work or academic reasons;

Trial population

Questionnaires in the Nicheng cohort

Trial design

Design model

Other

Time perspective

Cross-sectional

Treatments tested in this trial

  • AI-assisted quality control tool

    Other intervention

    In this study, quality control personnel will be randomly divided into an experimental group and a control group, and will use artificial intelligence-assisted quality control and manual quality control to conduct quality control on the data collected from the epidemiological survey. Experimental group: Quality control personnel will use the AI system to perform quality control on the questionnaire recordings. Control group: The questionnaire content was checked by manually listening back to the recordings and errors were recorded manually.

Treatment groups

900 Participants
are divided into 2 treatment groups
Group A: Manual quality control0 interventions
Group B: Use AI tools to conduct quality control1 intervention

Trial outcomes

Primary outcomes

1

Accuracy

changes in the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys with AI-assisted tool

Time frame
From enrollment to the end of questionnaire quality control at 8 weeks

Secondary outcomes

1

Completeness and consistency

AI-assisted quality control in questionnaire quality control improves the integrity and consistency of questionnaire data through automated keyword extraction and logical consistency checking.

Time frame
From enrollment to the end of questionnaire quality control at 8 weeks

Other outcomes

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Shanghai 6th People's Hospital

Lead sponsor

Source ClinicalTrials.gov

This trial is not recruiting at the moment. You can still explore other options: