Designing an Interoperable Intelligent Agent for the Blood Transfusion Chain in Geneva, Switzerland
Rami Albadri1, Ivana Perelli2, François Freitas2
1Geneva School of Business Administration (HEG Geneva), HES-SO University of Applied Arts and Sciences of Western Switzerland, Geneva, Switzerland.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
This study introduces an intelligent system for blood supply chain management, improving donor-recipient compatibility searches. It enhances real-time inventory visibility and addresses challenges in blood transfusion workflows.
Area of Science:
- Health Informatics
- Medical Logistics
- Bioinformatics
Background:
- Blood supply chain management faces challenges like unpredictable demand, perishability, and fragmented data.
- These issues limit real-time inventory visibility and complicate compatibility searches for at-risk patients.
- Alloimmunization is a significant risk for poly-transfused patients due to compatibility challenges.
Purpose of the Study:
- To develop a proof-of-concept system for improved blood supply chain management.
- To enhance donor-recipient compatibility matching through intelligent decision support.
- To demonstrate the feasibility of semantic interoperability in transfusion workflows.
Main Methods:
- Designed an interoperable health data exchange pipeline using HL7 FHIR, SNOMED-CT, and LOINC standards.
- Developed an intelligent matching agent with multi-criteria, rule-based filtering and ranking for compatibility.
- Evaluated the prototype using a synthetic dataset simulating operational scenarios.
Main Results:
- The system aggregates cross-institutional blood inventory data.
- It generates ranked donor-recipient compatibility suggestions.
- Demonstrated technical feasibility of combining semantic interoperability and decision support for transfusions.
Conclusions:
- The developed system shows technical feasibility for enhancing transfusion workflows.
- Future work includes integration with validated matching algorithms.
- Prospective evaluation in operational environments is planned.
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