REDMOND, Wash. — October 10, 2024 — On Thursday, Microsoft Corp. announced several Microsoft technologies that connect care experiences, enhance team collaboration, empower healthcare professionals, and unlock clinical and operational insights. Announcing Cloud for Healthcare innovations.
Through new healthcare AI models in Azure AI Studio, healthcare data solution capabilities in Microsoft Fabric, healthcare agent services in Copilot Studio, and AI-driven nursing workflow solutions, Microsoft Cloud for Healthcare can help healthcare organizations navigate every step of their journey. We support you. Towards a healthier future.
“We are at a tipping point where advances in AI will fundamentally change the way we work and live,” said Joe Petro, corporate vice president of Healthcare and Life Sciences Solutions and Platforms at Microsoft. “Across the broader healthcare and life sciences industry, these advances are dramatically enhancing patient care and rekindling the joy of practicing medicine for clinicians. Streamline workflows, improve data integration, and leverage AI to better serve healthcare professionals, researchers and scientists, payers, providers, medical technology developers, and ultimately all of them. We are helping lead these efforts by delivering better outcomes for patients.”
Extending AI beyond text: Healthcare AI models in Azure AI Studio
Microsoft announced the launch of Healthcare AI Models, a collection of state-of-the-art multimodal medical image-based models available in the Azure AI Model Catalog. Developed in collaboration with partners like Providence and Paige.ai, these models enable healthcare organizations to integrate and analyze different types of data, from medical images to genomics to clinical records. Using these advanced models as a foundation, healthcare organizations can create multimodal models tailored to their specific needs while minimizing the extensive computing and data requirements typically associated with building multimodal models from scratch. Build, fine-tune, and deploy AI solutions quickly.
“We are thrilled to be able to provide this new treatment to our patients,” said Carlo Bifulco, M.D., chief medical officer at Providence Genomics and co-author of the Prov-GigaPath study. “These models can complement human expertise by providing insights beyond traditional visual interpretation, and will shape the future of healthcare as we move toward a more integrated, multimodal approach. will be rebuilt.”
Harnessing the power of healthcare data with Microsoft Fabric
Traditionally, healthcare data has been difficult to access due to its unstructured nature and limitations of existing data management systems. These challenges limit an organization's ability to gain a comprehensive view of the patient experience and access valuable insights.
With the general availability of Microsoft Fabric healthcare data solutions, healthcare organizations can overcome these barriers by reimagining how users access, manage, and interact with data using a single, unified AI platform. You can overcome it. Additionally, Microsoft Purview's Healthcare Security Application Template, an innovative suite of features designed to help you manage your healthcare data, is available in public preview. We're also launching new features in public preview within the Microsoft Fabric healthcare data solution, including:
Conversation data integration: Send conversation data, including patient conversations, from DAX Copilot to the Fabric platform. By sending DAX Copilot audio files, transcripts, and draft clinical notes to Fabric, customers and partners can leverage a variety of native Azure and Fabric tools to analyze this data and combine it with other data. or combine them to generate comprehensive insights. Social Determinants of Health (SDOH) Public Dataset Transformation: Capture, perpetuate, harmonize, and utilize SDOH national and international public datasets to help healthcare organizations identify risks and health-related social needs. and create equitable health care for all patients and communities. Centers for Medicare & Medicaid Services (CMS) claims and claim line feed (CCLF) data ingestion: Streamline claims data ingestion and harmonize it with clinical, imaging, and SDOH data to generate actionable patient and population insights. Pull it out. Care Management Analytics: Leverage integrated medical data and care management analytics templates to enhance patient care by identifying high-risk individuals, optimizing treatment plans, and improving care coordination. Data discovery and cohorting: Leverage integrated workflows that enable healthcare organizations to create, manage, analyze, and share patient cohorts.
Building safe and responsible medical agents
Healthcare organizations face numerous challenges, including workforce shortages, rising costs, and increased demands for patient care. Generative AI offers a potential solution to these challenges by automating administrative tasks, analyzing vast amounts of data for actionable insights, and assisting healthcare professionals in decision-making. I will.
To address this, Microsoft is announcing a public preview of Copilot Studio's Healthcare Agent service for building Copilot agents for appointment scheduling, clinical trial matching, patient triage, and more. Organizations can leverage Healthcare Agent Services to create connected patient experiences, improve clinical workflows, and empower healthcare professionals while helping them meet industry expectations with Microsoft Copilot Studio . Early adopters like Cleveland Clinic, which provided feedback to optimize the solution for healthcare settings, are already leveraging these innovations to improve the patient experience and increase operational efficiency.
Enhancing nursing workflows with AI: Early results for nursing
With the World Health Organization (WHO)1 predicting a shortage of 4.5 million nurses by 2030, the need to provide technology to support the nursing profession feels more urgent than ever.
Last month at Epic's UGM, we announced the next areas of focus for our collaboration at Epic Workshop. Today we'll talk about how we're actively working with some of the leading healthcare providers, including Advocate Health, Baptist Health of Northeast Florida, Duke Health, Intermountain Health Saint Joseph Hospital, Mercy, Northwestern Medicine, Stanford Health Care, and Tampa. I will share more details. General Hospital — Builds an AI solution using ambient technology to address nursing documentation by creating flowsheets for review, allowing nurses to focus on patients rather than paperwork. This innovation expands on our long-standing strategic collaboration and co-development initiatives with Epic.
“AI is transforming nursing workflows by streamlining administrative tasks and allowing nurses to focus more on patient care,” said Corey Miller, vice president of research and development at Epic. “We are collaborating with Microsoft to use AI-powered ambient voice technology to input patient assessments. We're already sharing positive feedback on how we're doing it.”
“For nurses, integrating AI-driven solutions into their workflows is a game-changer,” said Terry McDonnell, DNP, ANCP-BC, Senior Vice President and Chief Nurse, Duke University Health. said Associate Dean for Systems and Associate Dean for Medical Affairs at Duke University. Duke Health University School of Nursing. “This allows us to focus on patient care rather than administrative burdens such as paperwork. Microsoft's ambient AI solutions reduce burnout by automating tedious tasks and help patients at the bedside.” You can spend more time connecting with others, and that's where you can make a real difference.”
Strengthening responsible AI practices across healthcare
In line with Microsoft's commitment to responsible AI, these new solutions adhere to the company's AI Principles established in 2018 to guide the development and use of AI. Microsoft remains committed to developing responsible AI by design, ensuring these technologies have a positive impact on both the healthcare ecosystem and broader society. In practice, this means properly building, testing, and monitoring systems to avoid unwanted behavior such as harmful content, bias, misuse, and other unintended risks. Over the years, we have upheld these principles and invested heavily in building the governance structures, policies, tools, and processes needed to securely build and deploy AI. At Microsoft, we are committed to sharing with our customers what we learn in this commitment to upholding responsible AI principles. We leverage our unique best practices and learnings to give people and organizations the capabilities and tools to build AI applications that share the same high standards we strive for.
To learn more about Microsoft Cloud for Healthcare, new data and AI solutions and their impact, visit https://news.microsoft.com/hlth-2024 or visit Microsoft at booth #4004 at HLTH 2024.
Microsoft (Nasdaq “MSFT” @microsoft) creates AI-powered platforms and tools to deliver innovative solutions that meet the evolving needs of our customers. With a mission to empower every person and every organization on the planet to achieve more, the technology company is committed to making AI widely available and doing so responsibly. I'm here.
1 Nursing and Midwifery, World Health Organization, 2024
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This press release includes important announcements about AI-driven healthcare innovations from Microsoft and includes quotes that highlight the transformative role of AI in healthcare.
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