T ese tools can analyze patient data to off er real-time recommendations on drug therapy, dosage, and potential drug-drug interactions. By helping pharmacists make evidence-based decisions, CDSS not only reduces medication errors but also enhances care quality and improves overall patient safety. For example, AI-powered CDSS can assess the risk of adverse drug reactions by cross-referencing the genetic profi le and treatment histories of a patient. Specifi cally, AI might fl ag a patient as high-risk for hospitalization due to potential drug-drug interactions. Consequently, it allows the healthcare providers to be able to modify the treatment plan before adverse eff ects occur. Furthermore, predictive AI tools in CDSS can aid in predicting patient responses to certain therapies, which allows pharmacists to make proactive decisions, ensuring that the care provided is both personalized and
optimized for better outcomes. In addition, by focusing on clinical decision-making, AI-powered CDSS can also streamline the workfl ow for pharmacists, helping them reduce the cognitive load associated with trivial but time-consuming work. At the end of the day, it can help pharmacists focus on decision-making more on their clinical end to improve the quality and timeliness of patient care. However, despite the signifi cant benefi ts,
nowadays AI remains challenging. Inevitable long-standing concerns on data privacy, security, and ethics continue to be debated. Additionally, while AI-supported decision- making holds great potential, it is crucial to recognize that these systems are not always transparent and may still be susceptible to biases. T erefore, pharmacists must have a clear understanding of how AI arrives at its recommendations and maintain the
authority to override decisions based on clinical judgment. Ensuring that AI supports rather than replaces (a point which I always do not agree with and do not think will happen), human expertise is the key to maintain trust in clinical decision-making process. In general, there is no doubt that AI will
continue to evolve, and its deeper integration into pharmacy will certainly unlock new opportunities to enhance clinical decision- making. As such, collaboration between pharmacists, healthcare providers, and AI developers will be essential to fully realize the potential of AI. By fostering this synergy, AI can ensure healthcare systems remain cost-eff ective, patient-centered, and capable of delivering smarter, faster, and more personalized decisions for a sustainable, high-quality future.
28 Missouri PHARMACIST | Volume 98, Issue III | Fall 2024
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