Tool Calling and Plugins for Phase I Clinical Quality

Data Characteristics

Phase I clinical trial quality documents include research protocols, informed consent forms, ethics approvals, subject screening records, case report forms (CRFs), adverse event (AE) reports, drug management records, laboratory test reports, and statistical analysis reports. These documents come from various sources, including internal research institutions and external laboratories or CROs. Update frequency depends on trial progress; for example, CRFs are real-time, AE reports require immediate updates, and protocols are updated upon revision. Document structures typically follow ICH GCP and national regulatory guidelines, with highly standardized fields and units, such as mg and µg for dosage, hours and days for time, and ng/mL for biomarker concentrations. Some documents, like ethics approvals, are scanned images or PDFs, while CRF data often exists in structured databases or spreadsheets.

Constraints Imposed by These Characteristics on Tool Calling and Plugins

The diversity of Phase I clinical quality document data requires tool calling to handle multiple file formats, including structured data sources and unstructured documents. For example, extracting dosage information from a database while parsing adverse event descriptions from a PDF report. The document update frequency, especially the real-time nature of CRFs and AE reports, demands that tools or plugins support real-time or near real-time incremental data synchronization and processing to avoid information lag. Highly standardized fields and units facilitate precise extraction using regular expressions or specific parsers, reducing misinterpretation. However, scanned documents or non-OCR processed PDFs pose challenges for text recognition and information extraction, requiring integration of OCR capabilities or preprocessing steps. Additionally, the sensitivity of trial data requires tools to ensure data anonymization and compliance when calling external services, for instance, by not directly transmitting subject personal information to general large models.

Configuration Guidelines

Configuration Item	Suggested Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`50 MB`	Phase I clinical documents often contain many images and charts, ensuring large PDFs or scanned documents can be uploaded.
`maxContext`	`8192 token`	Ensures sufficient context to accommodate an entire research protocol or CRF form for accurate understanding.
`Chunk size` (Segment Length)	`800–1200 characters` (characters)	Balances context completeness and recall efficiency, preventing information loss from overly long paragraphs or overly short segments.
`Recall count` (Recall Count)	`Top 8 entries` (top 8)	Increases relevant information coverage to address complex queries that may involve multiple document fragments.
`Similarity threshold` (Similarity Threshold)	`0.78`	Ensures recalled results are highly relevant to the query intent, reducing interference from irrelevant information.
`OCR_ENABLED`	`True`	Addresses a large volume of scanned or non-text PDF documents, ensuring content can be recognized and processed.

Common Pitfalls

Tool calling returns empty or incomplete data: This occurs when OCR capabilities or document parsers are not integrated, preventing effective information extraction from scanned PDFs or complex tables.
Query results contain outdated information: This happens when the data synchronization mechanism is not configured for real-time or incremental updates, leading the model to make judgments based on older document versions.
Model errors when processing multimodal data: This is due to incorrect differentiation between text and multimodal inputs in the workflow, where images or charts are directly passed to text-only models.

Verification Steps

Select a Phase I clinical research protocol PDF containing scanned pages and structured tables. Verify that tool calling successfully extracts key fields such as study objectives, primary endpoints, and inclusion/exclusion criteria.
Simulate a new adverse event report entry. Check if the knowledge base indexes the update within a short period (e.g., 5 minutes / 5 minutes) and retrieves the latest information via a query.
For a query involving dosage calculation or unit conversion, check if tool calling correctly identifies and processes units like mg, µg, and ng/mL, and provides medically compliant answers.
Use a CRF sample containing images or charts to test multimodal processing capabilities, ensuring the tool can identify key data points within the charts.

The values provided are common starting points and should be measured against the reader's own samples.

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.