KidneyCloud: A Clinically-Codesigned Solution to Support Kidney Services with Assessing Patients for Transplantation

Area of Science:

• Medical Informatics
• Transplantation Science
• Human-Computer Interaction

Background:

• Effective data management is crucial for kidney transplantation, yet current IT systems are inadequate.
• The KidneyCloud project addresses this gap by exploring patient pathways and data journeys to inform a digital solution.
• Transplant teams often rely on manual processes to access fragmented data across multiple systems, hindering efficient decision-making.

Purpose of the Study:

• To report on the early prototyping of the KidneyCloud clinician interface.
• To explore the application of an iterative codesign methodology in developing transplant-specific digital tools.
• To understand clinician needs for accessing and utilizing patient data in kidney transplantation.

Main Methods:

• Iterative codesign methodology involving user workshops with transplant teams.
• Exploration of patient pathways and data journeys within the kidney transplantation process.
• Development and testing of an interactive prototype clinician interface.

Main Results:

• User workshops highlighted significant reliance on manual data aggregation for clinical decisions and national waiting list management.
• A prototype interface was designed to offer a unified view of patient data, aligning with clinical workflows.
• Interactive prototyping facilitated hands-on user experience and provided critical feedback for interface and back-end development.

Conclusions:

• The codesign approach effectively identified key requirements for a transplant-specific digital solution.
• A unified data interface aligned with clinical workflows can improve efficiency in kidney transplantation.
• Understanding clinician needs is vital for developing robust back-end solutions supporting transplant data management.