What Are the Challenges in Maintaining Data Quality?
Several challenges can affect data quality in neonatal disorders:
Resource Constraints: Limited resources in terms of staff and technology can lead to poor data quality. Lack of Standardization: Variations in diagnostic criteria and treatment protocols can result in inconsistent data. Human Error: Manual data entry is prone to errors, which can affect the accuracy of the data. Data Privacy Concerns: Ensuring data privacy while maintaining data quality can be challenging, especially with electronic records.
