Harness the power of data and AI in healthcare with new Microsoft solutions

We are living in the era of AI in healthcare, where data and algorithms augment human capabilities and enable new possibilities for improving health and well-being. AI can help us understand complex patterns, generate insights, and provide recommendations that can enhance clinical decision making, personalize care, and empower patients as well as automate tasks to improve productivity. However, AI in healthcare also comes with many challenges, such as ensuring the quality of model training data, privacy, security, and compliance, as well as addressing ethical, social, and legal implications.

At Microsoft, we are committed to helping our customers and partners overcome these challenges and harness the power of AI in healthcare. We believe that bridging data, AI, and trust is required to accelerate the digital transformation in healthcare. We do this by providing trusted, secure, and scalable platforms and tools that help you manage, analyze, and share your data, as well as build, deploy, and monitor your AI solutions. Moreover, we collaborate with industry experts to ensure that our AI solutions are aligned with the best practices and standards of the healthcare domain.

At HIMSS24, we are excited to introduce new product and feature updates which are designed to help you harness the power of data and AI in healthcare.

Improving business and patient outcomes with unified data analytics

We recognize that data is the fuel that powers AI technology, and peak performance requires clean, integrated, accessible data. However, healthcare data is complex, heterogeneous, and often siloed, making it challenging to extract insights and drive value. Through continued investments in data management and analytics, we are empowering customers to achieve agility in new ways.

Our momentum continues with the public preview of healthcare data solutions in Microsoft Fabric. Now your organization can unify data and insights through one common architecture and experience. Healthcare data solutions in Fabric provide data models and transformation pipelines that help customers create a multi modal warehouse and provide a secure and governed way for organizations to access, analyze, and visualize data-driven insights across their organization.

• The multi modal warehouse leverages industry standards such as Fast Healthcare Interoperability Resources (FHIR) and Digital Imaging and Communications in Medicine (DICOM) and complies with regulations, such as HIPAA and GDPR.
• Allows organizations to access and query your healthcare data using familiar tools, such as Azure Synapse Analytics, Azure Machine Learning, and Power BI.
• Leverage Fabric data engineering and data science capabilities to conduct data analysis and operationalize machine learning pipelines at scale using Python notebooks powered by Spark’s distributed computing capabilities. 

We’re excited to see how our customers can accelerate time-to-value using healthcare data solutions in Fabric to unify their data at every layer—one copy of data in the lake, one product experience for collaboration, governance, and unification of the business model to ensure resources are cost-optimized. Learn more about healthcare data solutions in Fabric.

With imaging data playing a crucial role in assisting diagnosis and predictive care, it is imperative that medical images and the metadata associated with them can also be easily stored alongside clinical data. The DICOM service in Azure Health Data Services now integrated with Azure Data Lake Storage in general availability, enables organizations to store, manage and query medical images in the cloud, allowing organizations to operationalize imaging data in AI and machine learning development, for secondary use scenarios as well as for clinical research purposes. To learn more, read our documentation.

With the FHIRlink connector for Power Platform in general availability, organizations now have an easy way to build low-code, no-code applications that interact directly with FHIR compliant REST application programming interfaces (APIs). The connector reduces the complexity in authenticating to FHIR services, constructing FHIR based API calls, and working with resulting FHIR JSON data, removing the need for custom, single-use integration solutions. This enables developers to build apps directly against the FHIR services, removing the complexity and cost of mapping, transforming, and synchronizing data between systems. To learn more, read our documentation.

Our partners are already seeing success working on these new technologies to help their customers achieve their goals. Quisitive shared more about their experience working with healthcare data solutions in Microsoft Fabric:

“Through our tight collaboration with Microsoft and Fabric’s groundbreaking ability to transform unstructured data, we’re revolutionizing healthcare delivery. Microsoft’s dedication to speed, security, and innovation enables us to deploy solutions for our clients in record time and set the stage for AI and copilot advancements. Together, we’re closing care gaps, improving patient experiences, and enhancing operational efficiencies, delivering impactful results in real-time.”

—Syed Fahad, VP of Industry Solutions, Quisitive

Maximize the power of AI to improve patient and clinician experiences

One of the big challenges AI can help solve is helping clinicians provide personalized care tailored to their unique needs while also empowering clinicians with the right set of information from various sources to generate insights. With Azure AI Services for Health, we’re excited to share some recent feature and service updates that aim to help improve insights for clinicians while empowering patients with better outcomes.

Azure AI Health Insights provides a suite of AI models and services that can help healthcare organizations improve clinical and operational outcomes by providing pre-built models that perform analysis and provide inferences that can be reviewed and used by clinicians and researchers to facilitate patient care during important healthcare scenarios. Azure AI Health Insights will be generally available in May 2024, and includes models for patient timeline, clinical trial matching, and oncophenotyping. The Radiology insights model, also planned for general availability in May 2024, provides quality checks through feedback on errors and inconsistencies. The model also identifies follow-up recommendations and clinical findings within clinical documentation with measurements (sizes) documented by the radiologist.

We’re excited to share new private preview capabilities to Azure AI Health Bot services to help support organizations who want to build healthcare specific copilot experiences infused with generative AI and built in safeguards. The new private preview capabilities in Azure AI Health Bot provide pre-built templates, connectors, and out-of-box healthcare intelligence that can be customized and connected into existing workflows and content sources. Customers can then build their own copilots supported by protocol-based workflows side by side with generative AI answers which are responsibly adapted to healthcare with specific compliance controls and healthcare safeguards. Learn more about the private preview of Azure AI Health Bot with generative AI.

Georg Isbary, Head of Portfolio and Customer Excellence and Elias Zimmer, Manager Digital Customer Excellence from Roche Pharma Germany, shared more about how they are using the Azure AI Health Bot to power their copilot experience:

“As we move forward into the Age of Copilots, our collaboration with Microsoft and Crayon has enabled us to explore new ways how clinicians can interact with our Healthcare Professional (HCP) portals. By leveraging Azure AI Health Bot to build copilot experiences for doctors, we are developing an intuitive, conversational interface that lets clinicians access and explore Roche’s clinical documentations in a more natural way and to cope with the complexity and flood of information. The pilot for this new user experience, powered by generative AI features and compliant with the necessary security standards, has been integrated into our systems and will be further tailored to regional market needs. We’re excited to see how this revolutionary AI experience will transform healthcare making knowledge more accessible and actionable for clinicians around the world.”

Microsoft Cloud for Healthcare is helping your organization shape a healthier future with data and AI

We are excited to strengthen our data and AI investments through the Microsoft Cloud for Healthcare. Our healthcare solutions are built on a foundation of trust and Microsoft’s Responsible AI principles. Through these innovations, we are making it easier for our partners and customers to create connected experiences at every point of care, empower their healthcare workforce, and unlock the value from their data using data standards that are important to the healthcare industry.

We look forward to seeing you at HIMSS24, visit us at Booth #3161 and with Nuance in booth #2741.

• Read more in our HIMSS announcement blog.
• Learn more about healthcare data solutions in Microsoft Fabric.
• Explore more about Azure Health Data Services.
• Learn more about Azure AI Health Insights.
• Read more about Azure AI Health Bot.

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Source: Microsoft Industry Blog