Formulary design is currently based on expert opinions, clinical trials, and comparative effectiveness research. With generative AI in healthcare, organizations can leverage data from electronic health records, claims, and other sources to better understand patient outcomes and predict the efficacy of treatments. This can help organizations identify the best drugs for specific patient populations, reduce the use of less effective treatments, and improve patient outcomes. Gen AI will enable healthcare organizations to create personalized formularies for individual patients based on their unique characteristics and medical histories, leading to better treatment outcomes and improved patient satisfaction.

In addition to improving patient outcomes, generative AI for healthcare can also help reduce costs. By identifying the most effective treatments for specific patient populations, healthcare organizations can avoid the use of less effective and more expensive treatments. This can lead to significant cost savings for both patients and healthcare providers.

Furthermore, generative AI in healthcare can help healthcare organizations stay up-to-date with the latest research and treatment options. By constantly analyzing data and generating insights, healthcare organizations can ensure that their formularies are always optimized and in line with the latest medical advancements.

Overall, the integration of generative AI into the formulary design process has the potential to revolutionize the healthcare industry, leading to better patient outcomes, reduced costs, and more personalized and effective treatments.