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Healthcare’s data quality problem isn’t going anywhere. In fact, as information becomes even easier to share – and sources more disparate – the problem of ensuring that all this information is both complete and useful for decision-making becomes increasingly difficult to solve. 

Given all of the obstacles to creating and maintaining high quality data, it can feel overwhelming to find the right “fix” for your organization’s challenge(s). However, for those in healthcare, a valuable place to start may be looking at how other industries have overcome their own unique barriers to data quality and how their solutions positively impacted downstream uses. 

From realizing the value of a proactive data governance plan to the need for granular information to the impact of changing mindsets, healthcare stands to learn a lot from peer industries. 

Download our latest eBook for a closer look at real-life examples of how data quality challenges have been tackled by sectors such as: 

  • Aerospace 

  • The military 

  • Aviation 

  • Federal law enforcement 

  • National intelligence 

Vendor:
Intelligent Medical Objects
Posted:
May 25, 2023
Published:
May 25, 2023
Format:
PDF
Type:
White Paper

This resource is no longer available.