20240047080. CODE GENERATOR FOR CLINICAL RESEARCH STUDY SYSTEMS simplified abstract (Nurocor, Inc.)

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CODE GENERATOR FOR CLINICAL RESEARCH STUDY SYSTEMS

Organization Name

Nurocor, Inc.

Inventor(s)

Frederik Malfait of Wolfenschiessen (CH)

CODE GENERATOR FOR CLINICAL RESEARCH STUDY SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240047080 titled 'CODE GENERATOR FOR CLINICAL RESEARCH STUDY SYSTEMS

Simplified Explanation

The abstract of this patent application describes techniques for enabling code generation for clinical research systems. The techniques involve a computing device with a memory and a processor that implements a code generator. The code generator determines data collected for a clinical research study and maps it to an intermediate concept that uniformly classifies the data. It also maps the intermediate concept to a standard model that conforms to a regulatory standard. Based on these mappings, the code generator generates transformational data that defines a transformation between the collected data and the data that conforms to the standard model.

  • The patent application describes techniques for code generation in clinical research systems.
  • A computing device with a memory and a processor is used to implement the code generator.
  • The code generator determines and classifies the data collected for a clinical research study.
  • It maps the collected data to an intermediate concept and then to a standard model that meets regulatory standards.
  • Based on these mappings, the code generator generates transformational data that enables the transformation of the collected data to conform to the standard model.

Potential applications of this technology:

  • Streamlining the process of generating code for clinical research systems.
  • Ensuring compliance with regulatory standards in clinical research data management.
  • Facilitating interoperability between different clinical research systems.

Problems solved by this technology:

  • Manual mapping and transformation of clinical research data can be time-consuming and error-prone. The code generator automates this process, reducing the risk of errors and saving time.
  • Ensuring compliance with regulatory standards can be challenging. The code generator maps the collected data to a standard model that conforms to these standards, simplifying the compliance process.

Benefits of this technology:

  • Increased efficiency in generating code for clinical research systems.
  • Improved accuracy and consistency in mapping and transforming clinical research data.
  • Enhanced compliance with regulatory standards in clinical research data management.


Original Abstract Submitted

in general, techniques are described by which to enable code generation for clinical research systems. a computing device comprising a memory and a processor may implement the techniques. the memory may store a code generator. the processor may execute the code generator. the code generator may determine data collected in support of a clinical research study, and obtain a first mapping between the collected data and an intermediate concept that uniformly classifies the collected data. the code generator may also obtain a second mapping between the intermediate concept and a standard model that conforms to a regulatory standard. the code generator may further generate, based on the first mapping and the second mapping, transformational data that defines a transformation between the data collected in support of the clinical research study and data that conforms to the standard model, and output the transformational data.

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