Microsoft introduces GenAI tools to streamline administrative tasks in healthcare, reducing clinician burnout and improving efficiency.

Microsoft has launched a suite of AI-powered healthcare tools designed to reduce the administrative workload on doctors and nurses. Among the new features is an automated documentation solution that significantly cuts time spent on record-keeping. Freeing clinicians to focus on patient care. By automating tasks like documentation, GenAI helps mitigate burnout, especially for nurses who currently spend up to 41% of their time on paperwork.

A major challenge in healthcare is managing the massive amounts of unstructured data, including medical images, clinical records, and genomic data. Microsoft addresses this by introducing multimodal AI models that analyze diverse data types. Enabling healthcare organizations to build AI applications tailored to their needs. These models, available in Azure AI Studio, improve areas like mutation prediction and cancer diagnosis. Allowing health systems to fine-tune them for more precise results.

Another GenAI-driven feature is the healthcare AI agent service, which helps clinicians answer complex questions and automate tasks. Using Microsoft Copilot Studio, hospitals can create AI agents that find relevant clinical trials or answer questions about patient care guidelines. This reduces the time doctors spend on manual searches, improving both efficiency and patient outcomes.

Microsoft is also extending its AI-powered documentation tool, previously available for doctors, to nurses. Developed in partnership with Epic Systems, this tool automates clinical note-taking. Seamlessly integrating into electronic health records (EHR) to reduce administrative burdens and improve workflow efficiency. Moreover, Microsoft introduces open-source multimodal AI models that analyze diverse data types, such as medical images and clinical records. These models help healthcare organizations develop tailored applications, such as a whole-slide pathology model that significantly improves mutation prediction and cancer subtyping. By leveraging GenAI capabilities, Microsoft aims to optimize healthcare workflows, improve efficiency, and enhance the quality of patient care. Paving the way for a more effective healthcare delivery system.