In clinical trials, datanodes are used to track a wide range of variables, from patient enrollment to treatment outcomes. Each patient in a clinical trial generates multiple datanodes, including baseline health metrics, treatment protocols, side effects, and response rates. Researchers use these datanodes to monitor the efficacy and safety of new treatments. By analyzing these data points, they can determine which treatments are most effective and identify any potential adverse effects early in the trial process.
