
Surveillance Analysis
Bacterial Surveillance Analysis
Software: SAS
Objectives
Develop standardized analysis datasets for surveillance program.
Create comprehensive data dictionaries for department surveillance data.
Generate de-identified datasets for analysis.
Integrate multiple data sources (lab, study, and surveillance data) into a single routine dataset.
Provide monthly analysis datasets in SAS format to support research.
Solution
Designed data dictionaries to standardize lab, study and surveillance data structures.
Created de-identified analysis datasets to ensure privacy and compliance.
Developed a data integration process to concatenate lab, study, and surveillance datasets.
Automated the monthly generation of SAS analysis datasets, streamlining access for stakeholders.
Benefits
Ensures data consistency and standardization for accurate research.
Improves efficiency by automating dataset creation and reducing manual data processing.
Facilitates comprehensive analysis through integrated datasets combining multiple data sources.
Supports stakeholders by providing structured, ready-to-use datasets for research.