Before launching medical device products, companies must familiarize themselves with strict and complex review standards and analyze the vast amount of information in the drug administration's guidance documents. The company urgently needed an intelligent solution to enhance knowledge management efficiency and improve the approval rate to boost its market competitiveness.
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Numerous and Strict Review Standards for Product Launch
?Cumbersome Perusal of Drug Administration Documents: Preparing products for market launch requires compliance with multiple drug administration guidelines, demanding significant time for deep analysis.
?Heavy Review Training: Review training covers multiple fields such as technology, clinical functions, and requires multiple cross-departmental meetings for thorough study.
?Manual Compilation of Historical Replies from the Drug Administration: Organizing past documents from the drug administration requires a significant amount of manual copy-pasting, leading to high error rates and time consumption.
?Difficulty in Quickly Identifying Key Information: Quickly locating key elements in stylistically varied documents is highly challenging.
?High Costs of Manual Data Cleaning: Documents in PDF format, despite the use of OCR processing, still require extensive manual data cleaning, leading to high costs.
?High Cost and Error-Prone Manual Copying: Manual copying often results in data format loss, high error rates, and consumes a lot of time and effort.
?Knowledge Extraction is Time-Consuming and Labor-Intensive: The process of converting document knowledge into actionable insights is arduous and time-intensive when done manually.
Key Features:
One-Click Summarization: Quickly generate summaries and monitor updates by importing PDF and Word guidance documents.
Rapid Training Updates: Efficiently create and maintain training materials with automatic knowledge base updates.
Reviewer Profiles: Automatically build reviewer profiles and tailor content strategies, enhancing review success.
Efficient Information Extraction: Custom parsing rules capture core data swiftly, regardless of document style.
Multi-Language Support: Parse documents in Chinese, English, French, and more, generating structured data for global use.
Transition from manually copying and pasting up to 20 documents per person per day to automated processing, reducing the time to just 2 minutes per document.
Shifting from manually organizing training materials to automated FAQ maintenance and updates, it greatly enhances efficiency.
Moving from the difficulty of predicting reviewer questions to the ability to simulate reviewer questioning patterns, it now has a higher pass rate of evaluations.
Writing responses to the administration was always time-consuming and required cross-department collaboration. Now it only needs a few people to prepare for the review process.
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