What is one outcome of having inconsistent definitions for data elements among different departments?

Having inconsistent definitions for data elements among different departments can lead to confusion and potential data errors. When various departments interpret data terms differently, it creates a lack of clarity regarding what data means and how it should be used. This misalignment can result in discrepancies in data entry, reporting, and analysis, as individuals may not be on the same page about what specific metrics or terms entail. For example, if one department defines "patient visits" differently than another, the resulting data could vary significantly, leading to erroneous conclusions and decision-making based on flawed information. Ultimately, such inconsistencies can undermine the reliability of the data, jeopardizing the integrity and quality of organizational insights and outputs.