Treffer: Considerations for Building a Data Science Culture for the Clinical Laboratory.

The article "Considerations for Building a Data Science Culture for the Clinical Laboratory" discusses the importance of implementing data science in clinical laboratories to manage and utilize the increasing amount of data. The author identifies three key areas for successful data science initiatives: building a team and collaborations, establishing principles, practices, and tools, and appropriate selection of projects. By focusing on these areas, clinical laboratories can create a data-driven decision-making environment that integrates data science into operations effectively. The article emphasizes the need for gradual implementation and continuous improvement to develop a culture of experimentation and success in data science projects within clinical laboratories. [Extracted from the article]

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