Data is the backbone of outcome prediction. Nurses and healthcare providers utilize various sources of data, including electronic health records (EHRs), patient surveys, and wearable devices. This data is analyzed using predictive modeling techniques to identify patterns and trends that can forecast future health outcomes. Machine learning algorithms, for instance, can process vast amounts of data to predict outcomes with high accuracy.
