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Healthcare · Generative AI

A generative AI research processing system for a medical institution

A leading medical research institution

50%+reduction in manual data processing time
50%+

Less manual processing

Automated

Collection and annotation

Faster

Research output

The challenge

Researchers collected, annotated and analysed studies by hand. Extracting metrics such as risk ratios and demographics, and comparing control and target groups, took time away from the research itself.

What we built
  • Insight Analyzer automates research collection and uses NLP to annotate papers and extract key metrics.
  • It compares control and target groups and generates insights on population samples.
  • Built on AWS with Bedrock, Kendra and SageMaker.
The results
  • Manual data processing time cut by more than half.
  • More accurate extraction of study metrics.
  • Faster, better-supported research decisions.
Similar challenge?

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