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The goal of clinical decision support systems (CDSS) in healthcare is to assist healthcare providers in clinical decision-making. These systems are designed to enhance the decision-making process by providing evidence-based knowledge, patient-specific information, and other relevant data at the point of care. This support can improve patient outcomes by helping providers make informed decisions about diagnosis, treatment options, and management of patient care.

Clinical decision support systems utilize algorithms, protocols, or guidelines that analyze patient data and present recommendations or alerts to healthcare professionals. By integrating clinical knowledge with patient data, CDSS helps reduce variability in care, increases the accuracy of diagnoses, and enhances the overall effectiveness of treatment plans. This capability is especially crucial in complex clinical environments where providers must make quick, informed decisions based on a multitude of factors.

In contrast, automating administrative processes primarily addresses non-clinical tasks and workflows rather than directly influencing clinical decision-making. Managing prescription drug inventories pertains to inventory control and pharmacy management rather than patient care decisions. While technology continues to evolve, clinical decision support systems are meant to complement healthcare providers' expertise, not to replace them. Therefore, the focus remains on enhancing the provider's ability to deliver quality care.