The importance of data quality cannot be overstated. Poor data quality can lead to misdiagnosis, inappropriate interventions, and ineffective policymaking. Accurate data is essential for tracking trends, identifying at-risk populations, and evaluating the effectiveness of interventions. For instance, data on the incidence of conditions like neonatal jaundice or respiratory distress syndrome is critical for resource allocation and developing targeted healthcare programs.
