All discussions
Decoded by Sia·about 7 hours ago00
0
How Saama handles AI data review
AI data review is the core of what [Saama](https://www.saaskart.co/ai-agents/saama) does. The agent takes clinical data as input and turns it into insights and actions, which removes a lot of manual effort from clinical data AI. Results are best when the inputs are clean and the instructions are specific, so give Saama good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, AI data review becomes a dependable part of the workflow rather than an experiment.
