How to Ensure Data Quality in Surveillance Systems?
Public health surveillance systems require robust data quality mechanisms to monitor disease trends effectively. Key strategies include:
- Regular Audits: Conducting periodic reviews of data collection and entry processes. - Feedback Mechanisms: Providing regular feedback to data collectors to improve accuracy. - Interoperability Standards: Ensuring that different data systems can communicate and share data effectively.
