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Overview and Description of the Common Data Model v5.0.1 Sentinel The primary goal of the Sentinel pilot is to build and operate a national public health surveillance system to monitor the safety
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How to fill out mini-sentinel common data model:

01
Start by gathering all relevant data sources that you want to include in the mini-sentinel common data model. This can include electronic health records, claims data, and other healthcare data sources.
02
Ensure that the data is properly cleaned and standardized. This involves checking for any errors, missing values, and inconsistencies in the data.
03
Map the data to the mini-sentinel common data model. This involves identifying the variables in your data sources and mapping them to the corresponding variables in the mini-sentinel common data model.
04
Once the data mapping is complete, integrate the data into the common data model. This may involve merging different data sources, creating derived variables, and applying any necessary transformations.
05
Validate the data to ensure its quality and accuracy. This involves running various checks and analyses to identify any issues or discrepancies in the data.
06
Document the data model and any specific decisions made during the process. This documentation is important for future reference and transparency.
07
Conduct regular updates and maintenance of the mini-sentinel common data model to ensure that it remains up-to-date and reflects any changes in the underlying data sources.

Who needs mini-sentinel common data model:

01
Researchers and scientists who are conducting healthcare and pharmacoepidemiology studies. The mini-sentinel common data model provides a standardized framework for analyzing healthcare data and allows for better comparison and collaboration between different studies.
02
Healthcare organizations and regulatory agencies that want to evaluate the safety and effectiveness of medical products, treatments, and interventions. The mini-sentinel common data model provides a consistent approach to analyzing real-world healthcare data, which can help inform decision-making and policy development.
03
Data scientists and analysts who work with healthcare data and need a standardized structure for organizing and analyzing the data. The mini-sentinel common data model simplifies the data integration process and provides a common language for working with healthcare data.
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The mini-sentinel common data model is a standardized format for organizing healthcare data to enable efficient analysis and monitoring of medical product safety.
Healthcare institutions and organizations are required to file mini-sentinel common data model.
Mini-sentinel common data model can be filled out using the specific data fields and guidelines provided by the Mini-Sentinel program.
The purpose of mini-sentinel common data model is to facilitate signal detection, post-market surveillance, and research on medical product safety.
Information such as patient demographics, medical history, drug exposure, and outcomes must be reported on mini-sentinel common data model.
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