To ensure you a smooth implementation of your IDMP solution, we have developed a set of accelerators based on standard technologies from our partners:​

  
CV Management - Management of controlled vocabularies

• Subscription to notification capabilities (REST/JSON)
• Management of CV mappings across regions and organizations
• Retrieval of the CV data from the health authorities (REST/JSON)
• CV terms version management
• Configurable to maintain CV terms defined in-house or by the health authorities

ISO IDMP Physical Data Model

• Data model transformations to automatically prepare the PDM for various RDBMS systems
• Flexible IDMP data model to allow additional data domains to match the customer’s need
• Modern and intuitive user interface which allow various end-users to manage IDMP data model
• Role based access rights configuration
• Presents the technical intricacies in IDMP in a RA business perspective

Data Quality and transformations

• Founded on our defined ISO IDMP Data Quality rules that help our customers achieve compliance
• Continuous data quality analysis and
• Performs automatic data transformation to elevate IDMP related source data
• Identify uncorrected misalignments and forward these for remediation by a data steward
• Show DQ metrics of any source system
• Provide quick overview of the DQ of the overall IDMP data

Workflows to guide collaboration

• Consists of a set of standard workflows defined to be configured across a multitude of technology platforms
• Flexible workflows defined to inspire and accelerate the adoption of a best practice during data remediation
• Workflows to conduct peer reviews, data change approval, CV management, etc.
• Incorporated capabilities to comply with the need for electronic signature

Manage IDMP data through a UI

• Interconnected to the collaboration workflow accelerator
• Provides a UI for the insertion or redaction of IDMP data
• Entry point of unstructured IDMP data
• Essential to fill in the data gaps and achieve data completeness
• Provides data entry capabilities under the remediation processes

Data extraction  

• NNIT Document Digitalization Service
• High quality data extraction from documents
• Enabling fast and reliable structuring of regulated specific information
• Building on corporate onthologies and data automation (machine learning)

_{Article written: February 2017}