MDx Similarity Case Retrieval for More Reliable Treatment Decisions
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Solution Overview
Problem
Existing methods fail to effectively utilize molecular diagnostic (MDx) data for determining diagnosis and treatment methods, as healthcare providers rely mainly on clinical experience and knowledge, neglecting the statistical information MDx data provides about patient conditions and recovery.
Innovation Solution
A method and apparatus that compares MDx data of a target patient with a previously stored set to retrieve reference MDx data and electronic medical records (EMR) of a similar patient, providing this information to healthcare providers for diagnosis and treatment decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare providers rely mainly on clinical experience and knowledge for diagnosis and treatment, then professional judgment can be applied, but molecular diagnostic data is not effectively utilized
Solution Approach 1:
The patent introduces an intermediary system (similarity case providing apparatus) that mediates between MDx data storage and healthcare providers. This apparatus retrieves similar patient cases based on MDx data and presents them to providers, enabling effective utilization of molecular diagnostic data without replacing professional clinical judgment
Solution Approach 2:
The system implements feedback by retrieving and presenting similar historical patient cases that match the current patient's MDx profile. This feedback loop allows healthcare providers to see what treatments worked for similar patients, improving diagnosis reliability while utilizing MDx data effectively
2Measurement precision
If MDx data of target patient is compared with previously stored set to retrieve reference data, then objective diagnosis can be improved, but data processing complexity increases
Solution Approach 1:
The patent segments the large MDx dataset into manageable units and uses structured comparison methods. The system divides patient data into comparable fields (MDx results, treatment responses, patient demographics) and processes them systematically, reducing the complexity burden while maintaining high matching accuracy
Solution Approach 2:
The system creates simplified copies or representations of complex MDx data for comparison purposes. By extracting and comparing key features rather than entire datasets, the system achieves precise patient matching without requiring overly complex processing infrastructure
3Reliability
If electronic medical record and reference MDx are provided to healthcare provider terminal, then treatment prediction accuracy is improved, but information transmission requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant information from electronic medical records and reference MDx data that is necessary for treatment prediction. Instead of transmitting entire datasets, the system identifies and transmits only critical fields (similar patient outcomes, effective treatments, key MDx markers), reducing data transmission volume while maintaining prediction accuracy
Data Source
AI summary
A method for providing a similarity case of a target patient using molecular diagnostic (MDx) data, performed by an apparatus for providing the similarity case of the target patient, may include obtaining reference MDx data for MDx data of the target patient by comparing the MDx data of the target patient with a previously stored set of MDx data. The method may also include obtaining an electronic medical record (EMR) of a reference patient(s) corresponding to health information of the target patient by comparing the health information of the target patient with health information of the reference patient from whom the reference MDx data are obtained. The method may further include providing the obtained EMR and the obtained reference MDx data as the similarity case to a healthcare provider's terminal.