What can result from poor data quality in healthcare?

Poor data quality in healthcare can significantly hinder overall effectiveness and safety in various ways. When data is inaccurate, incomplete, or inconsistent, it can lead to higher operational costs as healthcare organizations may need to invest more resources in correcting errors or dealing with the consequences of poor data. Additionally, compromised patient safety is a critical concern; incorrect information can result in inappropriate treatments, medication errors, and misdiagnoses. These outcomes not only put patients at risk but can also lead to legal and financial repercussions for healthcare providers.

Higher costs arise as organizations may have to address issues caused by poor data quality, such as unnecessary testing and additional clinical interventions. Moreover, when healthcare providers cannot rely on accurate data, it undermines their ability to make informed clinical decisions, which is fundamental to patient care. Thus, poor data quality can create a cascading effect, leading to negative outcomes in both patient safety and financial health for the organization.