Deployment and Upgrades for II-III Clinical Quality

Data Characteristics

Quality documents for Phase II-III clinical trials originate from clinical study protocols, informed consent forms, case report forms (CRFs), data management plans, statistical analysis plans, ethics committee approvals, and investigator brochures. These documents have a low update frequency, typically updated at key milestones like study initiation, protocol amendments, or data lock. Document structures are primarily unstructured text. They often contain extensive medical terminology, biostatistical data, and regulatory requirements. Fields and units are highly specialized. Examples include dosage units like mg/kg, time units like weeks or months, statistical indicators such as P-value and confidence interval, and drug codes like ATC Code or disease codes like ICD-10. Documents are usually stored as PDFs, Word files, or scanned images. Individual files can be large, potentially hundreds of pages.

Constraints Imposed on Deployment and Upgrades

The specialized and complex nature of Phase II-III clinical quality documents imposes specific deployment and upgrade requirements. First, medical terminology and specialized codes in the documents demand strong semantic understanding from the underlying model. Deployment must consider the model's compatibility with domain-specific vocabulary. Second, document update frequency is low, but each update may involve multiple related documents. The system must effectively identify and process version differences after upgrades to prevent information conflicts. Complex document structures, including charts and tables, challenge document parsing capabilities. The parser must accurately extract key information. Additionally, large individual document sizes require substantial storage space and efficient file processing performance. Resource planning is crucial during deployment. Finally, the sensitive nature of data sources, such as patient privacy information, requires strict adherence to data security and compliance during deployment and upgrades. Ensure effective access control and data anonymization mechanisms.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Phase II-III clinical documents are large, containing many charts and text. Individual files can reach hundreds of megabytes. Allocate sufficient upload space.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing complex PDF and Word documents takes a long time, especially OCR processing for scanned documents. Extending the timeout prevents parsing failures.
`Chunk size`	`800–1200 characters`	Clinical documents have strong contextual relevance. Longer segment lengths help preserve semantic integrity, for example, an entire section of a study protocol.
`Recall count`	`Top 10 entries`	Clinical questions often require synthesizing information from multiple sources. Increasing the number of recalled items improves the coverage of relevant information.
`Similarity threshold`	`0.75–0.85`	Clinical terminology and concepts demand high precision. A threshold that is too low may introduce irrelevant content; one that is too high may miss subtle differences.
`Rerank result count`	`5 entries`	Based on a high number of recalled items, re-ranking selects a few most relevant items. This improves the accuracy and conciseness of the final answer.

Common Pitfalls

Symptom: After deployment, accessing the system shows Invalid username or password. Login fails. Reason: The FASTGPT_ADMIN_USERNAME or FASTGPT_ADMIN_PASSWORD environment variables are incorrectly configured or do not match the administrator information in the database.
Symptom: When accessing via a login-free window link on a non-deployment machine, some functions (e.g., file upload) do not work correctly or respond slowly. Reason: System Base URL is incorrectly configured. This leads to front-end resource loading failures or incorrect back-end API request paths.
Symptom: In an offline deployment environment, uploaded clinical document content cannot be extracted correctly. Retrieval results are empty or inaccurate. Reason: Offline deployments lack necessary OCR service components or text processing libraries. This causes document parsing to fail.

Verification Steps

Upload a Phase II clinical trial protocol PDF file containing complex tables and medical terminology. Confirm the file uploads successfully and its content is retrievable.
Use a clinical quality control question with a known answer. Query the system. Verify if the returned results include key information and assess their accuracy.
Perform load testing on the system. Simulate multiple users simultaneously uploading and retrieving documents. Monitor system response times. Ensure performance under large file processing and high concurrency scenarios.

Note: The values provided are common starting points. Measure against your own samples for optimal configuration.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.