Studies in health technology and informatics · 2026
Designing an Interoperable Intelligent Agent for the Blood Transfusion Chain in Geneva, Switzerland.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Albadri Rami, Perelli Ivana, Freitas François, Waldvogel Sophie, Issom David-Zacharie
Аннотация
INTRODUCTION: Blood supply chain management is a cornerstone of modern medicine, yet it faces persistent structural challenges, including unpredictable supply and demand, perishability, and fragmentation of information systems. These limitations can hinder real-time inventory visibility and complicate extended blood compatibility searches, particularly for poly-transfused patients at risk of alloimmunization.
METHODS: We designed a proof-of-concept combining (1) an interoperable health data exchange pipeline based on HL7 FHIR, SNOMED-CT, and LOINC standards, and (2) an intelligent matching agent implementing multi-criteria, rule-based filtering and ranking logic for donor-recipient compatibility. The prototype was evaluated using a synthetic dataset reflecting representative operational scenarios.
RESULTS: The system aggregates cross-institutional inventory data and generates ranked compatibility suggestions, demonstrating the technical feasibility of combining semantic interoperability and decision-support logic for transfusion workflows.
CONCLUSION: Future work will focus on integration with validated matching algorithms and prospective evaluation in operational environments.
METHODS: We designed a proof-of-concept combining (1) an interoperable health data exchange pipeline based on HL7 FHIR, SNOMED-CT, and LOINC standards, and (2) an intelligent matching agent implementing multi-criteria, rule-based filtering and ranking logic for donor-recipient compatibility. The prototype was evaluated using a synthetic dataset reflecting representative operational scenarios.
RESULTS: The system aggregates cross-institutional inventory data and generates ranked compatibility suggestions, demonstrating the technical feasibility of combining semantic interoperability and decision-support logic for transfusion workflows.
CONCLUSION: Future work will focus on integration with validated matching algorithms and prospective evaluation in operational environments.