Both offer impressive cloud-based solutions for patient communication, clinician charting and revenue. It can perform compositional and translation tasks in text, and its release, along with ChatGPT, has inspired a rush to integrate LLMs into every type of business, whether appropriate or not. CLEVELAND University Hospitals (UH) completed the transition to the Epic electronic health record (EHR) over the weekend. Cerner and Epic are two of the biggest names in the electronic health record (EHR) landscape. GPT-4 is a large language model (LLM) created by OpenAI that has been trained on millions of books, documents, and websites. According to Microsoft, that will help "clinical leaders explore data in a conversational and intuitive way." Imagine talking to a chatbot similar to ChatGPT and asking it questions about trends in patient medical records, and you might get the picture. RWD can complement traditional study designs because it captures almost the complete variety of patients, leading to more generalisable results. The second use will bring natural language queries and "data analysis" to SlicerDicer, which is Epic's data-exploration tool that allows searches across large numbers of patients to identify trends that could be useful for making new discoveries or for financial reasons. With the worldwide digitalisation of medical records, electronic health records (EHRs) have become an increasingly important source of real-world data (RWD). The press release quotes Chero Goswami, chief information officer at UW Health in Wisconsin, as saying, "Integrating generative AI into some of our daily workflows will increase productivity for many of our providers, allowing them to focus on the clinical duties that truly require their attention." The first use of GPT-4 comes in the form of allowing doctors and health care workers to automatically draft message responses to patients.
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