Comorbidity Assessment System Using Multi-Index Segmentation
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Solution Overview
Problem
Current medical practices focus on specific diseases, ignoring the systemic impact of diseases and their treatments on overall patient health, leading to imprecise diagnostics and potential adverse effects from co-morbidities and treatment side effects.
Innovation Solution
A system that assesses the state of a primary disease and its co-morbidities through indices like autonomic, neurologic, and psychiatric indices, comparing them to reference values to provide stability, progression, or regression outcomes, and potentially forecasting future conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical practice focuses on specific diseases (reductionist approach), then diagnostic efforts can be concentrated on the primary disorder, but the overall health impact and co-morbidities are ignored leading to imprecise findings
Solution Approach 1:
The system segments the assessment into multiple independent indices (autonomic, neurologic, psychiatric, endocrine, physical fitness, quality of life) that can be evaluated separately and then integrated. This allows focused measurement of each system while maintaining the ability to assess overall health impact, resolving the contradiction between concentrated diagnostic effort and comprehensive health assessment.
Solution Approach 2:
The system creates a multi-functional assessment framework that simultaneously evaluates the primary disease and its co-morbidities across multiple body systems. This universal approach enables a single diagnostic process to serve multiple functions: assessing the primary disorder, detecting co-morbidities, evaluating treatment impact, and monitoring overall health, thereby eliminating information loss about systemic effects.
2Reliability
If multiple indices and systems are assessed simultaneously, then comprehensive health assessment is achieved, but system complexity increases
Solution Approach 1:
The complex assessment system is divided into modular, independent indices (autonomic, neurologic, psychiatric, endocrine, physical fitness, quality of life). Each index can be assessed separately using established clinical tools, reducing the complexity burden on any single component while maintaining comprehensive coverage through integration of all modules.
Solution Approach 2:
The system allows for partial assessment where clinicians can select and implement only the indices relevant to the specific patient condition and primary disease being treated. This partial action approach reduces immediate complexity while maintaining the option to expand to full comprehensive assessment when needed, balancing reliability requirements with practical system complexity.
Data Source
AI summary
Methods, systems, and apparatus for assessing a state of a comorbidity associated with a primary disease are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of a body system of the patient that is a site of the comorbidity, based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided.