Using the industry’s most advanced AI models, Smart Data Quality (SDQ) gives study teams the power to manage the high volume and variety of today’s clinical trial data.
Saama is the industry’s undisputed leader, with over 100+ AI models trained exclusively for life sciences. SDQ automates data review processes, reducing query generation times from 30 minutes to just 3 minutes per query.
Chief Efficiency Officer
AI- powered models eliminate manual reviews, reduce errors, and minimize trial delays.
SDQ helps keep data clean as it is collected, speeding the time to database lock.
With SDQ, automatically identify data discrepancies and generate queries.
Built on a cloud-based architecture backed by AWS, SDQ is scalable across your portfolio and is proven on large, global trials.
AI models are deployed within SDQ to automatically identify data discrepancies. See how Saama reduces query times from 30 minutes to 3 minutes.
Time per query review
AI models trained for life
Total review hours
Days
Resources
To manually review and write a query.
To manually review and write a query.
Queries
Hours
Days
Resource
To review and approve AI generated query.
Queries
Hours
Days
Resource
Queries
Days
Resource
Queries
“(SDQ) saved us an entire month. It really has had a significant impact on the first-pass quality of our clinical data and the speed through which we can move things along and make decisions.”
Lorem ipsum dolor sit amet ?
Lorem ipsum dolor sit amet ?
Lorem ipsum dolor sit amet ?
Lorem ipsum dolor sit amet ?
Lorem ipsum dolor sit amet ?
By admin
According to the Tufts Center for the Study of Drug Development, the average clinical trial can take 7–10 years from discovery to approval, and delays…
By admin
Clinical data review has always been one of those parts of a trial that takes more time than anyone expects. An industry report by NIH…
By admin
Let’s take a minute to think about what it really takes to bring a new medicine to patients- it’s a massive, critical effort, but too…
