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In healthcare, the ability to make sense of data is crucial for informed and responsible decision-making. However, the ongoing digitalization of healthcare and its reliance on heterogeneous forms of data has made sensemaking increasingly complex. Data is generated, presented, and used through a variety of tools, practices, and algorithmic systems, and its meaning demands careful and context-sensit
