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Microsoft expands AI capabilities to shape a healthier future

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Microsoft Corp. is unveiling several Microsoft Cloud for Healthcare innovations to enhance healthcare experiences and capabilities. Key announcements include:

1. Healthcare AI models in Azure AI Studio, developed with partners like Providence and Paige.ai, enabling rapid deployment of AI solutions for medical imaging and genomics.

2. Healthcare data solutions in Microsoft Fabric, now generally available, offering improved data management and insights.

3. Healthcare agent service in Copilot Studio (public preview) for building AI agents for tasks like appointment scheduling and patient triaging.

4. Collaboration with healthcare organizations to develop an AI solution for nursing documentation using ambient technology.

These innovations aim to streamline workflows, improve data integration, and deliver better outcomes for healthcare professionals and patients while adhering to Microsoft's responsible AI principles.

Microsoft Corp. sta presentando diverse innovazioni di Microsoft Cloud per la salute per migliorare le esperienze e le capacità nel settore sanitario. Le principali novità includono:

1. Modelli AI per la salute in Azure AI Studio, sviluppati in collaborazione con partner come Providence e Paige.ai, che consentono un rapido deployment di soluzioni AI per l'imaging medico e la genomica.

2. Soluzioni di dati per la salute in Microsoft Fabric, ora disponibili in generale, che offrono una gestione e analisi dei dati migliorate.

3. Servizio agenti per la salute in Copilot Studio (anteprima pubblica) per costruire agenti AI per attività come la pianificazione degli appuntamenti e il triage dei pazienti.

4. Collaborazione con organizzazioni sanitarie per sviluppare una soluzione AI per la documentazione infermieristica utilizzando tecnologia ambientale.

Queste innovazioni mirano a snellire i flussi di lavoro, migliorare l'integrazione dei dati e fornire risultati migliori per i professionisti della salute e i pazienti, rispettando nel contempo i principi di responsabilità dell'AI di Microsoft.

Microsoft Corp. está presentando varias innovaciones de Microsoft Cloud para la salud para mejorar las experiencias y capacidades en el sector sanitario. Los anuncios clave incluyen:

1. Modelos de AI para la salud en Azure AI Studio, desarrollados junto a socios como Providence y Paige.ai, que permiten un despliegue rápido de soluciones de AI para imágenes médicas y genómica.

2. Soluciones de datos para la salud en Microsoft Fabric, ahora disponibles de forma general, que ofrecen una gestión y análisis de datos mejorados.

3. Servicio de agente para la salud en Copilot Studio (vista previa pública) para crear agentes de AI para tareas como agendar citas y triage de pacientes.

4. Colaboración con organizaciones de salud para desarrollar una solución de AI para la documentación de enfermería utilizando tecnología ambiental.

Estas innovaciones buscan agilizar los flujos de trabajo, mejorar la integración de datos y ofrecer mejores resultados para los profesionales de la salud y los pacientes, mientras se adhiere a los principios de AI responsable de Microsoft.

마이크로소프트(Microsoft Corp.)는 의료 경험과 역량을 향상시키기 위한 여러 마이크로소프트 클라우드 의료 혁신을 발표하고 있습니다. 주요 발표 내용은 다음과 같습니다:

1. 의료 AI 모델이 Azure AI Studio에 출시되어 Providence 및 Paige.ai와 같은 파트너와 협력하여 의료 이미징 및 유전체학을 위한 AI 솔루션의 빠른 배포를 가능하게 합니다.

2. 일반적으로 이용 가능한 의료 데이터 솔루션이 Microsoft Fabric에 통합되어 데이터 관리 및 통찰력이 향상됩니다.

3. 예약 일정 및 환자 분류와 같은 작업을 위한 AI 에이전트를 구축하기 위한 Copilot Studio(공식 미리보기)의 의료 에이전트 서비스.

4. 환경 기술을 사용하여 간호 문서화를 위한 AI 솔루션을 개발하기 위해 의료 기관과 협력 중입니다.

이러한 혁신은 업무 흐름을 간소화하고, 데이터 통합을 개선하며, 의료 전문가 및 환자에게 더 나은 결과를 제공하는 동시에 마이크로소프트의 책임감 있는 AI 원칙을 준수하는 것을 목표로 하고 있습니다.

Microsoft Corp. dévoile plusieurs innovations de Microsoft Cloud pour les soins de santé afin d'améliorer les expériences et les capacités dans ce secteur. Les principaux annonces incluent :

1. Des modèles IA pour les soins de santé dans Azure AI Studio, développés avec des partenaires tels que Providence et Paige.ai, permettant un déploiement rapide de solutions IA pour l'imagerie médicale et la génomique.

2. Des solutions de données pour les soins de santé dans Microsoft Fabric, désormais disponibles, offrant une meilleure gestion des données et des analyses.

3. Un service d'agent de santé dans Copilot Studio (aperçu public) pour créer des agents IA pour des tâches telles que la prise de rendez-vous et le triage des patients.

4. Collaboration avec des organisations de santé pour développer une solution IA pour la documentation infirmière utilisant une technologie ambiante.

Ces innovations visent à rationaliser les flux de travail, à améliorer l'intégration des données et à offrir de meilleurs résultats pour les professionnels de la santé et les patients, tout en respectant les principes d'IA responsable de Microsoft.

Microsoft Corp. stellt mehrere Innovationen von Microsoft Cloud für das Gesundheitswesen vor, um die Erfahrungen und Fähigkeiten im Gesundheitsbereich zu verbessern. Wichtige Ankündigungen umfassen:

1. KI-Modelle für das Gesundheitswesen in Azure AI Studio, die in Zusammenarbeit mit Partnern wie Providence und Paige.ai entwickelt wurden und eine schnelle Bereitstellung von KI-Lösungen für medizinische Bilder und Genomik ermöglichen.

2. Datenlösungen für das Gesundheitswesen in Microsoft Fabric, die jetzt allgemein verfügbar sind und verbesserte Datenverwaltung und -analysen bieten.

3. Service für Gesundheitsagenten im Copilot Studio (öffentliche Vorschau) zur Erstellung von KI-Agenten für Aufgaben wie Terminplanung und Patienten-Triage.

4. Zusammenarbeit mit Gesundheitsorganisationen zur Entwicklung einer KI-Lösung für die Dokumentation im Pflegebereich unter Verwendung von Ambientetechnologie.

Diese Innovationen zielen darauf ab, Arbeitsabläufe zu optimieren, die Datenintegration zu verbessern und bessere Ergebnisse für Gesundheitsfachkräfte und Patienten zu liefern, während sie gleichzeitig die verantwortungsvolle KI-Politik von Microsoft einhalten.

Positive
  • Launch of healthcare AI models in Azure AI Studio for rapid deployment of tailored AI solutions
  • General availability of healthcare data solutions in Microsoft Fabric for improved data management
  • Public preview of healthcare agent service in Copilot Studio for building AI agents for various healthcare tasks
  • Collaboration with healthcare organizations to develop AI solution for nursing documentation
  • Adherence to responsible AI principles in developing healthcare solutions
Negative
  • None.

Insights

Microsoft's expansion of AI capabilities in healthcare is a significant development with far-reaching implications. The introduction of healthcare AI models in Azure AI Studio, developed with partners like Providence and Paige.ai, enables rapid deployment of tailored AI solutions. This could accelerate innovation in medical imaging and diagnostics, potentially improving patient outcomes and research efficiency. The integration of Microsoft Fabric for healthcare data management addresses a critical industry challenge by unifying diverse data types, which could lead to more comprehensive patient insights and improved care coordination. The healthcare agent service in Copilot Studio for tasks like appointment scheduling and patient triaging could help alleviate workforce shortages and improve operational efficiency. These innovations position Microsoft as a leader in healthcare AI, potentially driving increased adoption of their cloud services in the healthcare sector and strengthening their market position.

Microsoft's strategic focus on AI in healthcare represents a significant market opportunity. The global healthcare AI market is projected to grow rapidly and Microsoft's comprehensive offerings position them to capture a substantial share. The company's collaboration with major healthcare providers and Epic Systems for nursing workflow solutions demonstrates strong industry partnerships, which could lead to increased revenue streams. The expansion of Microsoft Cloud for Healthcare with new AI capabilities may drive higher cloud service adoption and recurring revenue. While specific financial projections aren't provided, the potential for increased market share in the lucrative healthcare sector could positively impact Microsoft's long-term revenue growth and profitability. Investors should monitor adoption rates of these new AI solutions and their impact on Microsoft's healthcare segment performance in future earnings reports.

REDMOND, Wash., Oct. 10, 2024 /PRNewswire/ -- On Thursday, Microsoft Corp. is unveiling several Microsoft Cloud for Healthcare innovations that connect care experiences, enhance team collaboration, empower healthcare workers, and unlock clinical and operational insights.

Through new healthcare AI models in Azure AI Studio, capabilities for healthcare data solutions in Microsoft Fabric, the healthcare agent service in Copilot Studio, and an AI-driven nursing workflow solution, Microsoft Cloud for Healthcare is supporting healthcare organizations on every step of their journey toward shaping a healthier future.

"We are at an inflection point where AI breakthroughs are fundamentally changing the way we work and live," said Joe Petro, corporate vice president, Healthcare and Life Sciences Solutions and Platforms at Microsoft. "Across the broader healthcare and life sciences industry, these advancements are dramatically enhancing patient care and also rekindling the joy of practicing medicine for clinicians. Microsoft's AI-powered solutions are helping lead these efforts by streamlining workflows, improving data integration, and utilizing AI to deliver better outcomes for healthcare professionals, researchers and scientists, payors, providers, medtech developers, and ultimately the patients they all serve."

Expanding the reach of AI beyond text: healthcare AI models in Azure AI Studio

Microsoft is announcing the launch of healthcare AI models, a collection of cutting-edge multimodal medical imaging foundation 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 diverse data types — ranging from medical imaging to genomics and clinical records. By using these advanced models as a foundation, healthcare organizations can rapidly build, fine-tune and deploy AI solutions tailored to their specific needs, all while minimizing the extensive compute and data requirements typically associated with building multimodal models from scratch.

"The development of foundational AI models in pathology and medical imaging is expected to drive significant advancements in cancer research and diagnostics," said Carlo Bifulco, MD, chief medical officer of Providence Genomics and a co-author of the Prov-GigaPath study. "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."

Harnessing the power of healthcare data with Microsoft Fabric

Historically, healthcare data has been difficult to access due to its unstructured nature and the limitations of existing data management systems. These challenges have limited organizations' ability to gain a comprehensive view of patient experiences and access valuable insights.

With the general availability of healthcare data solutions in Microsoft Fabric, healthcare organizations can overcome these barriers by reshaping how users access, manage and act on data with a single, unified AI-powered platform. Additionally, healthcare security application templates for Microsoft Purview, an innovative suite of features designed to help govern healthcare data, are available in public preview. We're also launching new capabilities in public preview within healthcare data solutions in Microsoft Fabric including:

  • Conversational data integration: Send conversational data, such as 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 various native tools in Azure and Fabric to analyze this data and/or combine it with other data to generate comprehensive insights.
  • Social determinants of health (SDOH) public dataset transformation: Ingest, persist, harmonize and consume SDOH national and international public datasets to enable healthcare organizations to identify risks and health-related social needs to help create equitable healthcare for all patients and communities.
  • Centers for Medicare & Medicaid Services (CMS) claim and claim line feed (CCLF) data ingestion: Streamline the ingestion of claims data and harmonize with clinical, imaging and SDOH data to unlock actionable insights on patients and populations.
  • Care management analytics: Leverage unified healthcare data and care management analytical templates to enhance patient care by identifying high-risk individuals, optimizing treatment plans and improving care coordination.
  • Data discovery and cohorting: Utilize an integrated workflow that allows healthcare organizations to create, manage, analyze and share patient cohorts.

Building a safe and responsible healthcare agent

Healthcare organizations face numerous challenges, including workforce shortages, rising costs and increasing patient care demands. 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.

To address this, Microsoft is announcing the public preview of healthcare agent service in Copilot Studio to build Copilot agents for appointment scheduling, clinical trial matching, patient triaging and more. Organizations can leverage the healthcare agent service to help create connected patient experiences, improve clinical workflows, and empower healthcare professionals while helping organizations meet industry expectations with Microsoft Copilot Studio. Early adopters, like Cleveland Clinic, which provided feedback to help optimize the solution for a healthcare setting, are already using these innovations to enhance patient experiences and improve operational efficiency.

Enhancing nursing workflows with AI: nursing early outcomes

With the World Health Organization (WHO)1 predicting a shortage of 4.5 million nurses by 2030, the urgency to deliver technology to support the nursing profession is felt more than ever.

Last month at Epic's UGM, we announced the next focus area for our collaboration in Epic Workshop. Today, we're sharing more about how we're actively collaborating with several leading healthcare organizations — including Advocate Health, Baptist Health of Northeast Florida, Duke Health, Intermountain Health Saint Joseph Hospital, Mercy, Northwestern Medicine, Stanford Health Care, and Tampa General Hospital — to build an AI solution using ambient technology that addresses nursing documentation by drafting flowsheets for review, allowing nurses to focus less on paperwork and more on their patients. This innovation expands on the company's long-standing strategic collaboration and joint development initiatives with Epic.

"AI is transforming nursing workflows by streamlining administrative tasks, allowing nurses to focus more on patient care," said 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 personalized 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. 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." 

Empowering responsible AI practices across healthcare

In line with Microsoft's dedication to responsible AI, these new solutions adhere to the company's AI principles established in 2018 to help guide AI development and use. Microsoft remains committed to developing responsible AI by design, ensuring that these technologies positively impact both the healthcare ecosystem and broader society. In practice this means properly building, testing and monitoring systems to avoid undesirable behaviors, such as harmful content, bias, misuse and other unintended risks. Over the years, we have made significant investments in building out the necessary governance structure, policies, tools and processes to uphold these principles and build and deploy AI safely. At Microsoft, we are committed to sharing our learnings on this journey of upholding our Responsible AI principles with our customers. We use our own best practices and learnings to provide people and organizations with capabilities and tools to build AI applications that share the same high standards we strive for.

For more information on Microsoft Cloud for Healthcare and the 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 platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more. 

1 Nursing and midwifery, World Health Organization, 2024

This press release includes key announcements on AI-driven healthcare innovations by Microsoft and includes a quote emphasizing AI's transformative role in healthcare.

Epic is a registered trademark of Epic Systems Corp.

 

 

 

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SOURCE Microsoft Corp.

FAQ

What new AI capabilities has Microsoft (MSFT) announced for healthcare?

Microsoft (MSFT) has announced healthcare AI models in Azure AI Studio, healthcare data solutions in Microsoft Fabric, healthcare agent service in Copilot Studio, and an AI-driven nursing workflow solution for documentation.

How is Microsoft (MSFT) addressing the nursing shortage with AI?

Microsoft (MSFT) is collaborating with healthcare organizations to develop an AI solution using ambient technology that addresses nursing documentation by drafting flowsheets for review, allowing nurses to focus more on patient care.

What is the healthcare agent service in Copilot Studio announced by Microsoft (MSFT)?

The healthcare agent service in Copilot Studio, announced by Microsoft (MSFT), is a tool to build Copilot agents for tasks such as appointment scheduling, clinical trial matching, and patient triaging, aimed at improving healthcare efficiency.

How is Microsoft (MSFT) ensuring responsible AI use in healthcare?

Microsoft (MSFT) is adhering to its AI principles established in 2018, investing in governance structures, policies, tools, and processes to uphold these principles and build and deploy AI safely in healthcare applications.

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