clinical_documentation · healthcare · workflow

Clario enhances clinical trial documentation quality with Amazon Bedrock

Clario's process of generating multiple clinical trial documents from the imaging charter was time-consuming, taking weeks, and was prone to inadvertent manual errors, inconsistencies, and redundant information that could delay or negatively impact clinical trials.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · On-premises document preprocessing
Charter-derived documents are processed in an on-premises script in preparation for uploading.
Tools used
Amazon BedrockAmazon S3AWS Direct Connect
Outcome

The prototype solution significantly streamlined the BRS generation process, minimizing translation errors and inconsistencies and reducing the need for rework and study delays, with productionization planned during 2025.

Results
Time savedcan take weeks
Source

https://aws.amazon.com/blogs/machine-learning/clario-enhances-the-quality-of-the-clinical-trial-documentation-process-with-amazon-bedrock?tag=soumet-20

How we source this →

Grounding & classification
Source type: platform led case
28 fields verified against source quotes, 4 dropped as unverifiable.
content generationconversational aidocument airagclinical notepolicy documenthuman review describedmetric backednamed customervendor confirmedworkflow describedpharma life sciencesaccuracy improvementcycle time reductionerror reductionplatform led caseback office opsclinical documentationai draft human approvaldocument to recordrag answering