Template Treatment Parameter System for Ablation Optimization
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Solution Overview
Problem
Physicians face challenges in determining optimal treatment parameters for thermal ablation therapies due to the lack of standardized protocols and reliance on individual experience, making it difficult to evaluate and improve treatment efficiency across patients.
Innovation Solution
A system and method that provide template treatment parameters by analyzing the relation between treatment parameters, technical patient outcome data, and clinical patient outcome data, allowing for dynamic adaptation and optimization of treatment protocols based on past patient data, thereby improving treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If physicians base treatment parameter decisions on individual experience and past treatments, then treatment customization is possible, but treatment efficiency and consistency deteriorate due to lack of standardized protocols
Solution Approach 1:
The system implements feedback by collecting treatment outcome data from multiple patients and using it to generate template treatment parameters. The feedback loop continuously improves treatment protocols by analyzing which parameters lead to successful outcomes, then applying these learned parameters to future treatments, thereby standardizing effective practices while maintaining adaptability to individual patient needs
Solution Approach 2:
The system changes parameters by transforming individual treatment data into standardized template parameters. It identifies optimal parameter ranges from historical data and applies these standardized parameter sets to multiple patients, improving consistency and efficiency while preserving the ability to adjust parameters based on individual patient characteristics
2Adaptability or versatility
If physicians rely on individual experience for determining treatment parameters, then treatment flexibility is maintained, but treatment consistency and quality control worsen across different patients
Solution Approach 1:
The system applies universality by creating template treatment parameters that can be universally applied across multiple patients with similar conditions. These templates serve as standardized protocols that ensure consistent, high-quality treatment while maintaining the flexibility to adapt to individual patient variations, thereby resolving the contradiction between flexibility and consistency
3Manufacturing precision
If template treatment parameters are determined based on relation between treatment parameters and patient outcome data, then treatment optimization is achieved, but system complexity increases
Solution Approach 1:
The system applies self-service by automatically analyzing treatment outcome data and generating optimized template parameters without requiring complex manual intervention. The system serves itself by continuously learning from patient outcomes and autonomously updating treatment protocols, thereby achieving high treatment optimization while keeping the operational complexity manageable through automation
Data Source
AI summary
It is an object of the present invention to provide a system allowing to provide improved template treatment parameters for ablation treatment allowing an optimized ablation treatment. A system for assisting in providing template treatment parameters is presented. The system comprises a treatment parameter providing unit (101) providing treatment parameters, a patient data providing unit (102) providing technical patient outcome data and/or clinical patient outcome data, a template treatment parameter determining unit (104) for determining template treatment parameters based on a relation between any of the treatment parameters, the technical patient outcome data and/or the clinical patient outcome data. Thus, the template treatment parameters can be optimized in accordance with the technical and/or clinical outcome of the treatment applied using the treatment parameters. Accordingly, the template parameters for treating a patient can be improved and the improved template treatment parameters allow to provide an optimized treatment to a patient.