Case Study: Atropos Health accelerates and improves healthcare evidence summarization with Google Cloud Gemini

Atropos Health makes clinical summaries 98% faster with Apigee

Atropos Health faced the challenge of aggregating and converting vast amounts of real-world healthcare data into easily understandable summaries for practitioners, a process that traditionally took a team of professionals months to complete. To manifest the value of this real-world evidence more quickly, they turned to Google Cloud and its Gemini large language models.

Google Cloud implemented Gemini models to generate and summarize these evidence studies from both structured and unstructured data. The solution proved to be up to 32% more accurate than other leading models and 98% faster, with one Gemini model scoring a perfect 100% in accuracy tasks. This allows Atropos Health to deliver critical information on demand in days or even minutes, accelerating clinical decision-making and potentially saving lives.

Atropos Health