Data lag has several implications for cancer treatment:
Delayed Diagnosis: Timely access to data is crucial for early detection. Delays can result in missed opportunities for early intervention. Treatment Planning: Oncologists rely on up-to-date data to formulate treatment plans. Data lag can lead to less effective or outdated treatment strategies. Clinical Trials: Recruitment and monitoring of clinical trial participants depend on real-time data. Lag can hinder the progress of new therapies.
