Self-Qualified Process for Cloud Software Data Integrity

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Solution Overview

Problem

In regulated environments, such as those in the pharmaceutical industry, there is a lack of standardization in cloud-based software applications, leading to challenges in ensuring data integrity, traceability, and compliance with regulations like GMP, especially when dealing with the manufacturing and distribution of medicines.

Innovation Solution

A standard architecture and configuration for cloud-based software platforms are proposed, incorporating a self-qualification process (SQP) that ensures data integrity and compliance through a qualification mechanism, utilizing APIs, machine learning, and risk analysis to manage and qualify systems, processes, and data in a centralized and secure manner.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If cloud-based software applications are used to manage data in regulated environments, then data accessibility and processing efficiency are improved, but data integrity and compliance with regulations like GMP deteriorate due to lack of standardization

Engineering Contradiction:
Improvedata processing efficiencyVSAvoiddata integrity
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies parameter changes by transforming the unstandardized cloud platform into a qualified cloud platform through systematic qualification processes. The qualification state parameter (QS) is introduced to measure and control the degree of compliance, transitioning the system from unqualified to qualified state, thereby ensuring data integrity while maintaining processing efficiency

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback mechanisms through continuous monitoring and re-qualification processes. The system continuously evaluates the qualification state and triggers re-qualification when changes occur, ensuring that data integrity and compliance are maintained throughout the cloud platform's operation lifecycle

Inventive Principle:
Principle #23Feedback

2Reliability

If a standardized qualification process is implemented for cloud platforms, then compliance and data integrity are improved, but system complexity and implementation time increase

Engineering Contradiction:
ImprovecomplianceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the qualification process into distinct, manageable components: initial qualification, continuous monitoring, and re-qualification. This segmentation allows the complex qualification framework to be implemented in structured steps, reducing implementation complexity while maintaining comprehensive compliance coverage

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies preliminary action by performing initial qualification before the cloud platform is deployed to regulated environments. This upfront qualification establishes a solid compliance foundation, reducing the need for complex ongoing adjustments and simplifying the overall system implementation

Inventive Principle:
Principle #10Preliminary action

3Reliability

If continuous qualification and validation are performed to ensure compliance, then regulatory standards are met, but processing time and operational overhead increase

Engineering Contradiction:
Improveregulatory complianceVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements continuity of useful action through automated continuous monitoring that operates in the background without interrupting normal cloud platform operations. The qualification process becomes a continuous, seamless operation rather than a series of discrete time-consuming validation steps, maintaining regulatory compliance while minimizing processing time loss

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS11544656B1Self qualified process for cloud based applications
Publication Date: 2023.01.03 BIGFINITE INC
  • US11544656B1 patent drawing
  • US11544656B1 patent drawing
  • US11544656B1 patent drawing

AI summary

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing self qualification of cloud based applications. One of the methods includes analyzing, by a self-qualified process (SQP), a set of risks for a cloud based software platform, wherein each risk comprises a set of features that are being evaluated according to a risk definition; performing, by the SQP, one or more tests related to one or more risks of the set of risks; and based on an outcome of each of the tests, generating a measure of a qualification state for the cloud based software platform, wherein the measure of the qualification state is used to determine self-qualification of the software platform.