Which of the following outcomes is associated with clinical decision support systems?

The association of clinical decision support systems with a reduction in medical errors is well-founded in healthcare practices. These systems are designed to aid healthcare providers in making informed clinical decisions by providing evidence-based knowledge at the point of care. By analyzing patient data and incorporating clinical guidelines, they can alert practitioners to potential issues such as drug interactions, allergies, and deviations from standard treatment protocols.

This proactive approach helps streamline the decision-making process and enhances the overall quality of care. As a result, the probability of errors that could arise from human oversight or lack of information is significantly decreased. The integration of clinical decision support systems contributes to more accurate diagnoses and more effective treatment plans, directly impacting patient safety.

Other options present scenarios that do not align with the primary goals of clinical decision support systems. For example, increased patient wait times could arise from various factors unrelated to these systems, such as staffing or operational inefficiencies. Similarly, while healthcare costs can be influenced by many variables, clinical decision support systems often aim to reduce unnecessary tests and procedures, potentially leading to cost savings rather than higher expenses. Inconsistent treatment protocols could occur in a system lacking such supportive technology; the presence of clinical decision support is intended to promote consistency and adherence to best practices.