Graphical Clinical Pathway Management System
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Solution Overview
Problem
Current clinical support systems lack an efficient and interactive method for creating, updating, and adhering to clinical pathways, which hinders the standardization and automation of cancer care, leading to variability in treatment plans and increased costs.
Innovation Solution
A computer-implemented method for generating clinical pathways using a graphical tool that allows users to create, update, and navigate treatment plans based on patient data, incorporating decision nodes and treatment options, with a review process for approval and integration with electronic medical records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If clinical pathways are manually created and managed without a graphical tool, then system complexity is reduced, but ease of operation and productivity deteriorate due to inefficient creation and updating processes
Solution Approach 1:
The patent replaces manual mechanical processes of creating and updating clinical pathways with an automated computer-based graphical tool. The system automatically generates pathway templates, manages node connections, and updates treatment plans based on patient data, eliminating manual drawing and management operations while improving ease of use.
Solution Approach 2:
The patent uses template copying mechanisms where standardized clinical pathway templates can be created once and then reused multiple times for different patients. The system copies proven pathway structures and automatically adapts them to individual patient cases, reducing the complexity of creating new pathways from scratch while maintaining ease of operation.
2Manufacturing precision
If clinical pathways are standardized through established protocols, then manufacturing precision and reliability improve, but adaptability deteriorates due to reduced flexibility in treatment planning
Solution Approach 1:
The patent implements dynamic clinical pathways that can adapt to individual patient needs while maintaining standardized structures. The system allows clinicians to modify treatment plans based on patient response, changing nodes and connections in real-time. This dynamic approach preserves standardization benefits while enabling necessary adaptability for personalized medicine.
Solution Approach 2:
The patent segments clinical pathways into modular nodes representing different treatment decisions and patient characteristics. Each node can be independently configured and modified, allowing standardization at the node level while providing flexibility in how nodes are connected and combined for individual patient treatment plans.
3Measurement precision
If comprehensive patient data is collected and analyzed, then measurement precision and reliability improve, but loss of time increases due to data processing requirements
Solution Approach 1:
The patent performs preliminary actions by pre-configuring clinical pathway templates with standard treatment protocols and decision criteria before patient encounters. When a patient is seen, the system automatically matches patient data against pre-established criteria and rapidly navigates the pathway, eliminating the need for time-consuming manual analysis while maintaining high measurement precision through comprehensive data collection.
Data Source
AI summary
Cancer care is increasingly more complicated due to increasing therapeutic options and is often difficult to access information critical to clinical decisions as a result of the frequency of new studies and decentralization of complex clinical evidence. Patient genomic and other clinical information is critical for making timely and accurate oncology and health care decisions is often in narrative text format scattered across multiple reports and IT systems. It is critical for treatment to encode clinical knowledge pertinent to clinical decision making in an easily accessible form. Discretized information in a digital patient file can assist in creating and selecting relevant therapies based on the body of medical and genomic testing history for a given patient. Discretized information is linked to a pathway execution engine and dynamically updated clinical trial matches. An authoring tool assists in creating pathways for the pathways execution engine to drive care through clinical decision trees.