Our work represents a notable achievement in the field of healthcare AI. Through careful fine-tuning of state-of-the-art instruction based Large Language Models (LLM) on Swedish clinical journal notes and electronic health records, we’ve developed models tailored for automating and enhancing various critical tasks. These models excel in automatically annotating raw text with structured clinical codes, a pivotal aspect of healthcare documentation. Moreover, they possess the capability to automatically summarize complex journal notes, extracting vital information, and even crafting comprehensive state-of-the-art discharge summaries. By streamlining these processes, we aim to minimize redundancy, reduce clinical errors, and allow healthcare providers to spend more time with patients and less time on screens, ultimately improving the quality of patient care.