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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.
This study randomly divided quality control personnel into an experimental group and a control group. The experimental group adopts AI assisted quality control: the AI system automatically transcribes the recorded text of the questionnaire, extracts keywords, analyzes the consistency of the Q&A logic, and generates quality control prompts. The quality control personnel will verify the question fragments according to the prompts and determine the qualification of the questionnaire; The control group relies entirely on manual quality control: the quality control personnel listen to the recording word by word, manually record the content, independently identify keyword omissions, logical contradictions, or terminology deviations, and ultimately determine whether the questionnaire is qualified. The core difference lies in the fact that the experimental group uses AI technology to accurately locate risk issues, reducing the burden of manual comprehensive screening, while the control group requires full manual review without targeted support.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Manual quality control | The questionnaire content was checked by manually listening back to the recordings and errors were recorded manually | ||
| Use AI tools to conduct quality control | Quality control personnel use an integrated AI-assisted system to perform quality control on epidemiological survey data. The AI system automatically transcribes audio and analyzes data quality,. Quality control personnel conduct reviews based on AI prompts. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-assisted quality control tool | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy | changes in the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys with AI-assisted tool | From enrollment to the end of questionnaire quality control at 8 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | From enrollment to the end of questionnaire quality control at 8 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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Questionnaires in the Nicheng cohort
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