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Related Experiment Video

Updated: Jan 7, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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A real-time dashboard for optimizing blood product utilization through a FHIR-based data integration pipeline.

Cynthia Sabrina Schmidt1, Johannes Wutzkowsky2, Henning Schäfer3

  • 1Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany; Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany.

Transfusion and Apheresis Science : Official Journal of the World Apheresis Association : Official Journal of the European Society for Haemapheresis
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PubMed
Summary

A new real-time dashboard helps hospitals efficiently manage blood products by identifying unused units after patient discharge or death. This improves blood stock management and resource utilization in transfusion medicine.

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Area of Science:

  • Healthcare Operations
  • Transfusion Medicine
  • Health Informatics

Background:

  • Inefficient blood product utilization is a major challenge in transfusion medicine.
  • Manual processes for identifying unused blood units delay their return to circulation.

Purpose of the Study:

  • To create a real-time dashboard for identifying blood products allocated to patients who have been discharged, transferred, or deceased.
  • To improve the operational efficiency of blood product management.

Main Methods:

  • Harmonized clinical and laboratory data (HIS, LIS) using an Extract-Transform-Load (ETL) pipeline into Fast Healthcare Interoperability Resources (FHIR).
  • Stored data in a structured database using a relational FHIR engine.
  • Developed a Grafana dashboard visualizing data via SQL queries for a unified interface.

Main Results:

  • The dashboard provides an overview of potentially releasable blood products, associated patients, and departments.
  • Daily review by blood depot staff facilitates faster verification and release of unused units.
  • FHIR-based analytics ensure interoperability and real-time data updates.

Conclusions:

  • Structured FHIR data enables operational decision support in transfusion medicine.
  • The dashboard facilitates proactive blood stock management and improved resource utilization.
  • Seamless integration with existing clinical systems is achievable.