By  Teri Harkins, Vice President Strategic Accounts

In the healthcare industry, “dark data” refers to data that becomes difficult to access or interpret, limiting insights for decision-making and strategy.  This can include data from electronic health records, vendor records, errant payments, claims, and many other sources.

Dark data poses a significant challenge in the healthcare cost cycle, leading to inefficiencies, profit loss, and escalated costs. For instance, if a hospital fails to analyze and utilize all the data it gathers, it could be making decisions based on incomplete or outdated information. This could result in unnecessary or inefficient spending and missed opportunities to identify areas for cost savings, thereby exacerbating the urgency to address this issue.

Additionally, dark data can be a problem in the context of the cost cycle because it can make it difficult to accurately track and measure the costs associated with different aspects of patient care. Without complete and accurate data, it can be challenging to identify trends, patterns, and root causes of high costs. This can make it difficult for healthcare organizations to implement effective cost-cutting measures or to negotiate fair prices with vendors and payers.

Suppose a hospital is unable to effectively manage its costs due to dark data in the cost cycle. In that case, it may be forced to cut corners or make other sacrifices that could negatively impact the quality of care that it can provide. For example, it may be unable to hire sufficient staff or invest in necessary equipment and technology.

In the worst case, these conditions can lead to lower patient satisfaction. Patients who are dissatisfied with their care are less likely to return to the hospital and may also be less likely to recommend the hospital to others.

Overall, the focus on the cost cycle in healthcare is crucial as it enables organizations to comprehend and manage the costs linked to patient care. By tackling the issue of dark data and ensuring that all pertinent data is utilized effectively, healthcare organizations cannot only enhance their financial performance but also foster a sense of optimism for a better future in healthcare.

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