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MINISENTINEL COMMON DATA MODEL DATA QUALITY REVIEW AND CHARACTERIZATION PROCESS AND PROGRAMS Program Package version: 3.3.2 Prepared by the MiniSentinel Operations Center November 2015 MiniSentinel
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How to fill out minisentinel common data model?

01
Familiarize yourself with the structure: The first step in filling out the minisentinel common data model is to understand its structure. This will include identifying the different tables and fields that make up the model.
02
Gather relevant data: The next step is to gather the necessary data that will be entered into the common data model. This may include patient demographics, medical diagnoses, medication information, laboratory results, and other relevant healthcare data.
03
Enter data into each table: Once the data has been collected, it should be entered into the appropriate tables within the minisentinel common data model. Each table will have specific fields that need to be populated with accurate and complete information.
04
Validate and verify data: It is important to validate and verify the accuracy and completeness of the entered data. This can be done by cross-referencing with source documents, performing data checks, and reviewing data quality reports.
05
Conduct data quality checks: After entering the data, it is necessary to conduct data quality checks to ensure that the entered information meets the required standards. This may involve checking for errors, inconsistencies, or missing data.

Who needs minisentinel common data model?

01
Researchers: The minisentinel common data model is particularly useful for researchers who are conducting pharmacoepidemiological studies or drug safety surveillance. It provides a standardized framework for analyzing healthcare data from multiple sources.
02
Healthcare organizations: Healthcare organizations can benefit from the minisentinel common data model as it allows them to contribute their data to a larger research network. This can lead to improved understanding of treatment outcomes, drug safety, and healthcare utilization patterns.
03
Regulatory agencies: Regulatory agencies, such as the U.S. Food and Drug Administration (FDA), may utilize the minisentinel common data model to assess the safety and effectiveness of medical products. It can help in the signal detection of potential safety concerns and provide evidence for regulatory decision-making.
04
Data analysts: Data analysts who work with large healthcare datasets may find the minisentinel common data model to be a valuable tool. It enables them to harmonize diverse data sources and conduct advanced analytics to generate meaningful insights.
05
Public health agencies: Public health agencies can leverage the minisentinel common data model to monitor population health trends, assess healthcare interventions, and support health policy decision-making. It allows for the analysis of large-scale healthcare data in a consistent and standardized manner.
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Minisentinel Common Data Model is a standard format for organizing and storing healthcare data.
Healthcare organizations and providers are required to file Minisentinel Common Data Model.
Minisentinel Common Data Model can be filled out electronically following the provided guidelines and instructions.
The purpose of Minisentinel Common Data Model is to standardize and streamline the collection of healthcare data for research and analysis.
Minisentinel Common Data Model requires reporting of patient demographics, medical history, treatments, and outcomes.
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