Microsoft’s AI Tools aim to Empower Healthcare Workers

Microsoft has unveiled new Microsoft Cloud for Healthcare tools in Azure AI Studio to strengthen healthcare team collaboration, support healthcare workers and offer stronger operational insights.
Developed with partners Providence and Paige.ai, these new models will allow healthcare organisations to integrate and analyse diverse data types, to build and deploy AI solutions for their specific needs. This will be completed with minimal computing and data requirements.
Transforming healthcare data management with Microsoft’s unified AI-powered platform
Healthcare data can be difficult to access, due to its size and the limitations of data management systems. Such problems prevent healthcare groups from gaining a complete view of patient experiences.
With the opportunities of healthcare data solutions in Microsoft Fabric, healthcare organisations can transform how users access, manage and act on data with a single, unified AI-powered platform.
Additionally, healthcare security application templates for Microsoft Purview, a cutting-edge suite of features aimed at governing healthcare data. These are now available in public preview.
- Conversational data integration
- Social determinants of health (SDOH) public dataset transformation
- Centres for Medicare & Medicaid Services (CMS) claim and claim line feed (CCLF) data ingestion
- Care management analytics
- Data discovery and cohorting
Microsoft leads the way in enhancing patient care and reducing clinician burnout
Joe Petro, Corporate Vice President, Healthcare and Life Sciences Solutions and Platforms at Microsoft, shared that the world is at an inflection point, where AI breakthroughs are fundamentally changing the way we work and live.
“Across the broader healthcare and life sciences industry, these advancements are dramatically enhancing patient care and also rekindling the joy of practising medicine for clinicians,” Joe explained. “Microsoft’s AI-powered solutions are helping lead these efforts by streamlining workflows, improving data integration and utilising AI to deliver better outcomes for healthcare professionals, researchers and scientists, payors, providers, medtech developers and ultimately the patients they all serve.”
For Carlo Bifulco, MD, Chief Medical Officer of Providence Genomics and a co-author of the Prov-GigaPath study, the development of foundational AI models in pathology and medical imaging is expected to drive significant advancements in cancer research and diagnostics.
“These models can complement human expertise by providing insights beyond traditional visual interpretation and - as we move toward a more integrated - multimodal approach, will reshape the future of medicine,” he said.
“AI is transforming nursing workflows by streamlining administrative tasks, allowing nurses to focus more on patient care,” added Corey Miller, Vice President of R&D at Epic. “Together with Microsoft, we’re using AI-powered ambient voice technology to populate patient assessments. Nurses using the tool are already sharing positive feedback on how it enhances personalised patient interactions.”
For nurses, the integration of AI-driven solutions into our workflows is a game changer, said Terry McDonnell, DNP, ANCP-BC, Senior Vice President and Chief Nurse executive, Duke University Health System, Vice Dean for Clinical Affairs, Duke University School of Nursing, Duke Health.
“It allows us to focus more on patient care rather than the administrative burden of documentation,” he said. “By automating tedious tasks, Microsoft’s ambient AI solution helps alleviate burnout and gives us more time to connect with our patients at the bedside, where we truly make a difference.”
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