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Related Concept Videos

Tissue Transplantation01:24

Tissue Transplantation

Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...
Bone Marrow Sampling and Transplants01:22

Bone Marrow Sampling and Transplants

Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy the...
Kidney Transplant I: Introduction01:28

Kidney Transplant I: Introduction

A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...

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Updated: May 24, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Published on: April 12, 2021

From Excel to Automation: The Transplant Mapper for Interoperable Transplant Data Management.

Marcel Müller1, Kurt Kruber2, Ulrich Mansmann1

  • 1Institute of Medical Data Processing, Biometry and Epidemiology, LMU Munich.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Transplant Mapper streamlines Eurotransplant data by synchronizing reports into REDCap, enhancing data governance for clinical decisions and research. This automated system improves accuracy and efficiency, replacing manual Excel workflows.

Keywords:
FAIRautomationdata integrationtransplantation

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Area of Science:

  • Medical Informatics
  • Data Management in Healthcare
  • Transplantation Research

Background:

  • Manual data integration using Excel for Eurotransplant waitlist and transplant reports at LMU Hospital led to significant workload and errors.
  • Existing data governance practices hindered efficient clinical decision support and research activities.

Purpose of the Study:

  • To develop an automated, modular framework for synchronizing Eurotransplant data into REDCap.
  • To establish a scalable, auditable, and FAIR-aligned data infrastructure for transplant registries.

Main Methods:

  • Development of the Transplant Mapper, a framework utilizing Python Shiny dashboards for monitoring and a Django web interface for triggering mapping scripts.
  • Implementation of differential updates, waitlist consistency checks, and support for multiple transplant instances via REDCap repeating events.
  • Deployment for liver and kidney transplant programs, focusing on automated data synchronization.

Main Results:

  • Successful synchronization of Eurotransplant report data into REDCap, replacing error-prone manual Excel workflows.
  • Automated data synchronization completed in under one minute per instance.
  • Established a scalable, auditable, and FAIR-aligned infrastructure adaptable to other transplant registries.

Conclusions:

  • The Transplant Mapper provides a robust solution for secure transplant data governance, improving efficiency and data quality.
  • This framework supports clinical decision-making and research by ensuring consistent and accessible transplant data.
  • The system's modularity and adaptability make it suitable for broader application across different transplant registries and organ programs.