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The data warehouse uses aggregated data to gather insights into overall health system performance.
Data Warehouse
Step 1: Enable the transfer of NCD health information
Automatically transfer data from the EMR module into the NCD DWH. Data cleaning and validation checks will be integrated into the data transfer operation.
Step 2: Manipulate data for further interpretation
The system performs automatic data extraction and manipulation. Data is structured and combined with other data sets as needed to perform analysis.
Step 3: Gain visual insights for interpretation
Utilize the data visualization dashboard to interpret data and create reports. The creation of custom reports is also possible.
Step 4: Perform analysis using case-based data
Authorised facility managers, district and regional authorities, and national authorities access case-based data to support facility management and HCP supervision, perform sub-group analysis, and evaluate the connection between treatments and patient outcomes, Case-based data is used to perform predictive analytics.
Step 5: Gain insights into overall health system performance and intervention
Aggregate data supports annual budgeting and resource allocation processes and provides reliable information for forecasting future needs.
The process of getting information in and out of the data warehouse:
Main Attributes:
Automatically receives health information from connected facilities eliminating the need for manual data entry.
01
Provides case-based and aggregate NCD data to support quality management of health services.
02
Empowers users to make evidence-based decisions using dashboards and reports.
03
Main Attributes
Provides case-based and aggregate NCD data to support quality management of health services.
Empowers users to make evidence-based decisions using dashboards and reports.
Automatically receives health information from connected facilities eliminating the need for manual data entry.
National case-based data repository to store and share patient data and ensure data operability using, e.g., HAPI FHIR Server
National NCD data warehouse to store and aggregate data through, e.g., DHIS2
