Blood Transfusion Information Analysis System for Patient Safety
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Solution Overview
Problem
Current blood transfusion practices face challenges in efficiently selecting compatible red blood cells, particularly for patients with rare or complex blood types, leading to increased risks of alloimmunization and hemolytic transfusion reactions due to insufficient standardization and stratification of information in patient and donor matching processes.
Innovation Solution
A method is introduced that quantitatively defines patient-donor compatibility using the Transfusion Risk Group (TRG) classification and Match Score (MS) to optimize blood unit selection, incorporating demographic, clinical, and laboratory information, and Phenotype Usage Type (PUT) for long-term inventory management, ensuring the availability of immunohematologically compatible blood components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual assessment of antigen immunogenicity and clinical significance is performed by physicians, then blood product selection can be made, but the process consumes significant time and resources and increases the risk of alloimmunization
Solution Approach 1:
The patent replaces the manual mechanical assessment process with an automated computer-based system that uses algorithms to evaluate antigen immunogenicity and clinical significance. The system automatically processes patient and donor information, compares phenotypes, and generates compatibility recommendations, eliminating the time-consuming manual review while improving consistency and reliability of alloimmunization prevention.
Solution Approach 2:
The patent introduces an intermediary computational system that acts as a bridge between raw blood bank data and clinical decision-making. This intermediary system processes and structures the information, applying established medical criteria through algorithms to generate standardized compatibility assessments, thereby reducing physician workload while maintaining or improving patient safety.
2Reliability
If extended phenotype matching is performed to prevent alloimmunization, then patient safety is improved, but the complexity of the selection process increases significantly
Solution Approach 1:
The patent segments the complex extended phenotype matching process into distinct computational modules: patient phenotype analysis, donor phenotype analysis, antigen-antibody compatibility checking, and recommendation generation. Each module handles a specific aspect of the matching process, making the overall complex task manageable and systematic rather than overwhelming.
Solution Approach 2:
The patent replaces the complex manual extended phenotype matching process with an automated computational system that can efficiently process multiple antigens and antibodies simultaneously. The computer-based algorithm systematically evaluates all relevant phenotypic factors, reducing the perceived complexity for the physician while maintaining comprehensive safety checks.
3Adaptability or versatility
If cryopreserved red blood cells are used when fresh compatible units are unavailable, then patient transfusion needs are met, but inventory management becomes difficult and waste increases
Solution Approach 1:
The patent applies preliminary action by using the system to proactively identify and flag cryopreserved units that are approaching expiration or have low utilization probability before they are transfused. The system can generate warnings and recommendations for inventory adjustment, allowing blood banks to take preventive measures to reduce waste while ensuring patient needs are met.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor cryopreserved blood inventory utilization patterns, expiration dates, and transfusion outcomes. This feedback information is used to refine inventory management strategies, improve predictions of future blood type needs, and adjust cryopreservation policies to minimize waste while maintaining adequate supply for rare blood types.
4Measurement precision
If more antigens are compared between donors and recipients, then compatibility accuracy is improved, but the difficulty of unit selection decisions increases
Solution Approach 1:
The patent replaces the manual process of comparing multiple antigens with an automated computational system that can simultaneously evaluate all relevant antigen-antibody interactions. The computer algorithm systematically processes the expanded set of phenotypic data, providing accurate compatibility assessments without increasing the operational burden on physicians.
Solution Approach 2:
The patent creates a universal computational platform that handles multiple functions: phenotype analysis, antigen-antibody matching, compatibility scoring, and recommendation generation. This multi-functional system can accommodate varying levels of antigen comparison (from basic ABO/Rh to extended phenotype matching) within a single integrated tool, improving ease of operation while maintaining high accuracy.
Data Source
AI summary
A comprehensive solution which introduces a blood transfusion recipient classification scheme and a method for recommending specific blood product units for transfusion candidates including those of complex cases, rare blood types and emergent situations for the achievement of: compatibility, safety and efficacy; prevention of alloimmunization and Hemolytic Transfusion Reactions; optimal patient to donor matching; and optimization of available red blood cell units distribution amongst recipients. This invention includes a method to quantify match results and measure outcomes of the decision-making processes. A donor phenotype classification scheme and a method to optimize the long-term storage of blood units are introduced.