Martini App
Clinical Decision Support Application
Overview
The Martini App was developed for the Children’s Allergy Center at Martini Ziekenhuis.
The goal was to digitize an existing paper-based medical algorithm used by doctors, replacing repetitive manual paperwork with a structured mobile application to improve efficiency and reduce time spent on administrative tasks.
Challenge
The primary challenge was translating a complex medical decision algorithm into a clear, usable digital workflow.
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Converting a paper-based flow into an intuitive mobile interface.
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Preserving medical accuracy while improving usability.
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Reducing repetitive input without oversimplifying clinical logic.
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Managing communication between the development team and healthcare professionals.
Approach
As Developer and Product Owner, I focused on structure and clarity:
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Analyzed and mapped the existing paper algorithm into digital flow logic.
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Designed the app’s navigation structure around medical decision steps.
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Implemented dynamic input handling and conditional branching in Flutter.
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Worked directly with the client to validate workflow accuracy.
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Iterated based on feedback to improve speed and clarity for doctors.
Results
The project delivered a functioning mobile prototype that digitized the allergy center’s paper-based process.
The application demonstrated how structured digital workflows can reduce repetitive paperwork and support faster decision-making.
If further developed, I would:
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Improve UI polish and accessibility.
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Expand validation and data persistence features.
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Conduct more user testing in live clinical scenarios.
Client: Martini Ziekenhuis (Children’s Allergy Center)
Role: Developer & Product Owner