Clinical Trial Report Templates With Automated SAS Generation
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Solution Overview
Problem
The existing methods for generating clinical trial reports are inefficient, labor-intensive, and prone to errors due to high reliance on manual labor, requiring significant time and resources, and lack automated tools for consistent and compliant report generation.
Innovation Solution
A method, device, and medium for generating clinical trial reports using a clinical trial report generation platform that includes roles and permissions assignment, template construction, online reviews, collaborative annotations, and automated SAS program generation to produce consistent and compliant reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labor is used for generating clinical trial reports, then flexibility and adaptability are maintained, but productivity is low and time consumption is high
Solution Approach 1:
The report generation process is divided into distinct modules: data extraction module, analysis module, report generation module, and quality control module. Each module handles specific tasks independently, allowing parallel processing and improving overall efficiency while maintaining manageable complexity
Solution Approach 2:
A standardized report template system serves as an intermediary between raw clinical trial data and final reports. The templates pre-defining structures, formats, and required elements enable automated population of reports while ensuring compliance with regulatory standards
2Measurement precision
If multiple analysts independently write programs for quality control, then measurement precision is improved, but productivity decreases due to duplicated work
Solution Approach 1:
The system creates standardized program templates and calculation macros that can be copied and reused across different projects. Once a program is validated for a specific calculation or analysis, it becomes a reusable template, eliminating the need for analysts to rewrite the same code repeatedly while maintaining consistency and accuracy
Solution Approach 2:
The system uses parameterized programs where specific values and variables can be changed without modifying the underlying code structure. This allows the same program framework to handle different datasets and requirements by simply adjusting parameters, reducing programming time while maintaining precision through validated logic
3Reliability
If comprehensive quality control measures are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
Quality control checks are built into the system at each stage before proceeding to the next. Data validation occurs during extraction, analysis checks are performed before report generation, and final verification is automated. This preliminary action approach ensures reliability without requiring complex post-processing verification systems
Solution Approach 2:
The system incorporates automated feedback mechanisms where quality metrics are continuously monitored and fed back to adjust processing parameters. If anomalies are detected, the system automatically triggers corrective actions or alerts, maintaining reliability through continuous monitoring rather than complex manual verification processes
Data Source
Figure 1~2
AI summary
The present invention discloses a method, device, and medium for generating clinical trial reports based on clinical trial data. The method includes: creating a clinical trial report generation project corresponding to clinical trial data to be processed through a clinical trial report generation platform, and assigning corresponding roles and permissions to relevant processing personnel of the clinical trial report generation project; constructing, by the statistical analysts, a report template to be reviewed based on a clinical trial design, and publishing the report template to be reviewed; performing online reviews, by the reviewers, on the report template to be reviewed, and adding online collaborative annotations, such that the statistical analysts update the report template to be reviewed to be a report template to be applied based on online collaborative annotations; annotating, by the annotators, the report template to be applied, such that the clinical trial report generation platform constructs a corresponding SAS program based on the annotations; and executing the SAS program to obtain a clinical trial report to be applied. Through the above method, the present invention efficiently achieves automatic generation of clinical trial analysis reports.