Treatment Planning Interface for Patient Data Standardization
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Solution Overview
Problem
Existing radiation therapy systems lack integration and efficiency in handling diverse patient data formats and treatment planning tools, leading to suboptimal treatment plans and inefficiencies in data management.
Innovation Solution
A system and method that integrates patient data and treatment planning tools through standardized interfaces, enabling automatic data format conversion and seamless communication, allowing for efficient execution of treatment planning tools based on patient data availability and needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple treatment planning tools with different data formats are integrated, then treatment planning capability and versatility are improved, but data format inconsistencies and system complexity increase
Solution Approach 1:
A standardized interface layer is introduced as an intermediary between patient data sources and treatment planning tools. This interface layer receives data in various formats from different sources, converts them into a unified standardized format, and delivers the standardized data to treatment planning tools. This mediator approach resolves the contradiction by enabling multiple tools to work with diverse data formats while maintaining internal consistency through the standardization layer.
Solution Approach 2:
The standardized interface is designed with universal functionality to handle multiple data formats and communicate with various treatment planning tools. The interface maintains a consistent internal representation regardless of the original data format, allowing the same interface structure to serve multiple purposes across different tools and data sources, thereby reducing overall system complexity while enhancing versatility.
2Reliability
If treatment planning tools are executed manually, then control and verification are improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The system implements automatic execution of treatment planning tools based on standardized interfaces and predefined workflows. When new patient data becomes available or changes occur, the system automatically identifies relevant tools, retrieves necessary data through the standardized interface, executes the tools, and processes results without requiring manual intervention. This self-service mechanism maintains reliability through automated verification while significantly improving productivity.
Solution Approach 2:
The system incorporates feedback loops where execution results from treatment planning tools are automatically reviewed and used to update treatment plans or trigger further actions. The standardized interface enables automatic feedback processing by consistently formatting results and identifying required follow-up actions, ensuring both reliability through systematic review and productivity through automated feedback cycles.
3Measurement precision
If data from multiple sources is collected, then completeness and accuracy are improved, but data management complexity and security risks increase
Solution Approach 1:
The standardized interface acts as a mediator between multiple data sources and the treatment planning system. It receives data from various sources with different formats and security protocols, validates and standardizes the data according to predefined schemas, and delivers consistent standardized data to treatment planning tools. This intermediary approach maintains data accuracy by validating inputs while reducing management complexity through uniform data representation.
4Productivity
If automated execution is implemented, then productivity is improved, but data security and access control requirements worsen
Solution Approach 1:
The standardized interface is designed with universal security features that apply consistently across all data sources and treatment planning tools. It implements unified authentication, authorization, and data encryption mechanisms that work regardless of the specific tool or data source involved. This universal approach enables automated execution while maintaining security through consistent, predictable access control policies rather than requiring different security measures for each tool.
Data Source
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AI summary
A system for facilitating patient treatment planning includes a first interface (102) configured to communicate with a patient data source (104) to receive data relating to a patient and a second interface (106) configured to communicate with a treatment planning tool data source to receive data relating to one or more treatment planning tools (108). A processor (110) is coupled to the first interface (102) and the second interface (106), and configured to determine whether the data relating to the patient matches that required by one or more of the treatment planning tools (108) and, if the data relating a patient matches that required by one or more of the tools (108), to automatically initiate an action.