Case studies Healthcare
A generative AI research processing system for a medical institution
A leading medical research institution
50%+reduction in manual data processing time
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 study 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.
- Researchers make faster, better-supported decisions.
Related work.
40%reduction in case resolution time
An agentic customer service hub for a global pharmaceutical company
A global pharmaceutical company
82%of queries answered by the agent, with 90% accuracy
A knowledge agent for a specialised medical devices provider
A specialised medical devices provider
+2 ptscustomer satisfaction gain in the first six months
Voice-of-the-patient insights for a large US healthcare network
A US healthcare network with 27 hospitals across five states
A similar workflow in your business?
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