Analyte Data Integration Layer for Privacy-Safe EMR Merging

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Solution Overview

Problem

There is a need for improved methods and systems to integrate analyte monitoring data, such as glucose levels, with electronic medical record systems, ensuring robustness, security, and user-friendly data sharing while protecting patient privacy.

Innovation Solution

A system and method for integrating analyte monitoring data with electronic medical records involves associating analyte data with an external patient identifier, transferring this data through trusted computer systems and site servers, and merging it with electronic medical records, while ensuring patient data privacy through pseudonymization and secure data transfer protocols.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If analyte monitoring data is integrated with electronic medical record systems, then data sharing and correlation capabilities are improved, but system complexity and security requirements increase

Engineering Contradiction:

Improvedata sharing capabilityVSAvoidsystem integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent employs an intermediary integration layer that sits between the analyte monitoring system and the electronic medical record system. This intermediary component handles data transformation, format standardization, and protocol conversion, thereby enabling data sharing without directly coupling the two systems and reducing integration complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The integration architecture is segmented into distinct modular components including data collection modules, data processing modules, and data storage modules. Each module operates independently with well-defined interfaces, allowing the system to handle complexity through modular design while maintaining adaptability for data sharing.

Inventive Principle:

Principle #1Segmentation

2Loss of information

If patient data is shared across multiple systems, then correlation and insight capabilities are improved, but patient privacy protection becomes more challenging

Engineering Contradiction:

Improvedata correlation capabilityVSAvoidpatient privacy risk

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent implements data anonymization and pseudonymization techniques that create copies of patient data with identifying information removed or replaced. These anonymized copies can be shared across systems for correlation and analysis while the original identifiable data remains protected, thus enabling data correlation without compromising patient privacy.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

An intermediary data processing layer is introduced that acts as a mediator between data sharing requirements and privacy protection. This intermediary performs de-identification, access control, and audit logging functions, allowing correlated data sharing while maintaining privacy safeguards through controlled intermediate processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If frequent glucose monitoring is performed, then glycemic control is improved, but patient burden and cost increase

Engineering Contradiction:

Improveglycemic controlVSAvoidpatient convenience

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The analyte monitoring system is designed to operate autonomously with automatic sensor insertion, continuous monitoring, and automated data transmission capabilities. The system performs self-calibration and self-maintenance functions, reducing the manual effort and patient burden required for frequent monitoring while maintaining precise glycemic control.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces traditional mechanical finger-stick testing with continuous in vivo sensors that automatically measure analyte levels. This substitution eliminates the need for repeated manual punctures and manual data recording, thereby improving glycemic control precision while significantly enhancing patient convenience and reducing operational burden.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260011416A1Systems, devices, and methods for integration of analyte monitoring data and electronic medical record systems

Publication Date: 2026.01.08 ABBOTT DIABETES CARE INC

AI summary

Systems and methods for integrating analyte monitoring system data and electronic medical record system data are described. The methods include associating a patient's analyte data identified with an external patient identifier associated with at least one healthcare practice. The patient's analyte data identified with the external patient identifier may be transferred from a first cloud server to a second cloud server. The analyte data may be stored in a folder associated with the at least one healthcare practice in the second cloud server. The analyte data may also be merged with electronic medical records of the patient in the second cloud server. The merged data may then be transferred to a database for further analysis.