Med-PaLM 2 vs. Crosby Health Apollo

Healthcare innovations possess the remarkable ability to change lives and instill hope, fueled by a blend of scientific knowledge, compassion, and human insight. We believe that artificial intelligence stands to significantly contribute to this evolution by fostering effective collaborations among researchers, healthcare professionals, and the broader community. We are excited to share that we have made notable progress in this area, as we introduce limited access to Google’s medically-oriented large language model, Med-PaLM 2. In the coming weeks, this model will be accessible for restricted testing to a chosen group of Google Cloud clients, who will have the opportunity to explore its functionalities and offer crucial feedback as we strive for safe and responsible applications of this technology. Med-PaLM 2 employs Google’s sophisticated LLMs, specifically designed for the healthcare sector, enhancing the accuracy and safety of responses to medical questions. It is worth mentioning that Med-PaLM 2 has the distinction of being the first LLM to reach an “expert” level on the MedQA dataset, which features questions modeled after the US Medical Licensing Examination (USMLE). This achievement underscores our dedication to progressing healthcare through innovative solutions and emphasizes the potential of AI in tackling intricate medical issues. As we continue to refine this technology, we remain committed to ensuring it is used ethically and effectively for the betterment of patient care.

Many healthcare professionals depend on Apollo by Crosby Health to develop, submit, and track appeals, which significantly eases the pressure associated with clinical denials. Demonstrating an advanced grasp of clinical scenarios, Apollo surpasses all other medical language models across critical performance indicators. Its targeted training enables it to handle a variety of billing functions with remarkable precision, including auditing, charge capture, and denial management. Recognized as the swiftest clinical language model on the market, it features the most extensive context length, producing outputs at an astounding rate of 60 words per second while managing documents as lengthy as 300 pages. Our AI meticulously crafts persuasive appeal letters for each denial, optimizing the potential for recovery through carefully constructed arguments. By integrating various payor portals and fax numbers into one cohesive platform, Apollo streamlines both the submission and tracking processes for every appeal. Additionally, it alleviates the workload for providers by automating the appeal creation, and it is proficient in identifying medical necessity within documentation. With just a single click, providers can effortlessly submit appeals to any insurance company. This cutting-edge solution not only simplifies the workflow but also significantly boosts the overall effectiveness of healthcare administration, ensuring that providers can focus more on patient care rather than administrative hurdles. Overall, Apollo revolutionizes the appeals process, marking a significant advancement in healthcare technology.