clinical_documentation · healthcare · workflow
Clario streamlines clinical trial software configurations using Amazon Bedrock
Clario's clinical trial software configuration process relied on manual extraction of structured data from PDF transmittal forms and multiple enterprise data providers, creating transcription inconsistencies, version control complications, fragmented data silos, and delays in software build timelines.
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 · Study code lookup and API fetch
Users enter a study code that triggers an API call to fetch study details from the study database.
Tools used
Amazon BedrockAnthropic's Claude 3.7 SonnetAmazon ECSGenie AI ServiceSCSXMLConverterGenie Database
Outcome
The Genie AI Service reduced configuration execution time and transcription errors, drastically reduced manual effort, enabled teams to focus on value-added activities, and established strong compliance through complete audit trails.
Results
Time savedhas been reduced while improving overall quality
Grounding & classification
Source type: platform led case
29 fields verified against source quotes, 1 dropped as unverifiable.
content generationdata extractiondocument aiidpform submissionbuilder submittedhuman review describednamed customerproduction runtime claimedtools describedworkflow describedhealthcarepharma life sciencescycle time reductionemployee productivityerror reductionplatform led caseclinical documentationdata entry opsai draft human approvaldocument to record