20240028762. SYSTEMS AND METHODS FOR CONFIGURING AND OPERATING DE-IDENTIFICATION SYSTEMS simplified abstract (SURGICAL SAFETY TECHNOLOGIES INC.)
Contents
SYSTEMS AND METHODS FOR CONFIGURING AND OPERATING DE-IDENTIFICATION SYSTEMS
Organization Name
SURGICAL SAFETY TECHNOLOGIES INC.
Inventor(s)
Amar S. Chaudhry of Toronto (CA)
Teodor Pantchev Grantcharov of Toronto (CA)
SYSTEMS AND METHODS FOR CONFIGURING AND OPERATING DE-IDENTIFICATION SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240028762 titled 'SYSTEMS AND METHODS FOR CONFIGURING AND OPERATING DE-IDENTIFICATION SYSTEMS
Simplified Explanation
The patent application describes a system for de-identifying personal information from clinical data obtained in a clinical environment. The system maintains an electronic data model that includes various de-identification requirements applicable to different jurisdictions.
Here are the key points of the patent/innovation:
- The system maintains an electronic data model with de-identification requirements for removing personal information from clinical data.
- The data model includes requirements applicable to different jurisdictions.
- The system receives an identifier for a specific jurisdiction.
- The data model is traversed to determine the subset of de-identification requirements applicable to the identified jurisdiction.
- The system receives user-selected operating parameters for the de-identification system.
- The user selection is analyzed to check if it conforms to the subset of de-identification requirements.
- If the user selection conforms, a signal indicating conformity is generated.
- A configuration data structure is generated reflecting the user-selected operating parameters.
Potential applications of this technology:
- Healthcare organizations can use this system to ensure compliance with de-identification requirements when sharing clinical data across different jurisdictions.
- Research institutions can utilize this system to de-identify sensitive patient information for research purposes while adhering to jurisdiction-specific regulations.
- Pharmaceutical companies can employ this system to anonymize clinical trial data for analysis and reporting, considering the requirements of different jurisdictions.
Problems solved by this technology:
- Ensures compliance with de-identification requirements by considering jurisdiction-specific regulations.
- Streamlines the process of configuring and operating a de-identification system by automatically determining applicable requirements based on the identified jurisdiction.
- Reduces the risk of unintentional disclosure of personal information in clinical data.
Benefits of this technology:
- Enhances data privacy and security by effectively removing personal information from clinical data.
- Facilitates cross-jurisdictional data sharing and collaboration in the healthcare and research sectors.
- Simplifies the configuration and operation of de-identification systems, saving time and effort for users.
Original Abstract Submitted
systems, devices, and methods of configuring and operating a de-identification system are provided. at least one electronic data model is maintained, which includes a plurality of de-identification requirements for removing personal information from clinical data obtained in a clinical environment, the plurality of de-identification requirements including requirements applicable to at least one jurisdiction of a plurality of jurisdictions. an identifier identifying one of the jurisdictions is received. the data model is traversed to determine a subset of the de-identification requirements applicable to the identified jurisdiction. data defining a user selection of operating parameters of the de-identification system are received. the user selection is analyzed for conformity with the subset of de-identification requirements. in response to determining the user selection conforms with the subset of de-identification requirements, a signal is generated indicating the conformity. a configuration data structure is generated including data reflective of the user selection of operating parameters.
