Interpreting data collected during monitoring involves comparing current results with previous assessments to identify trends. Healthcare providers look for positive changes, stability, or deterioration in the patient's condition. Any significant findings may prompt a review and adjustment of the treatment plan. Advanced data analytics and machine learning algorithms can also be used to analyze large datasets, providing deeper insights into patient progress.
