Elevating care management analytics with Copilot for Power BI
Healthcare data solutions care management analytics capability offers a comprehensive template using the medallion Lakehouse architecture to unify and analyze diverse data sets of meaningful insights. This enables enhanced care coordination, improved patient outcomes, and scalable, sustainable insights. As the healthcare industry faces rising costs and growing demand for personalized care, data and AI are becoming critical tools. Copilot for Power BI leads this shift, blending AI-driven insights with advanced visualization to revolutionize care delivery. What is Copilot for Power BI? Copilot is an AI-powered assistant embedded directly into Power BI, Microsoft's interactive data visualization platform. By leveraging natural language processing and machine learning, Copilot helps users interact with their data more intuitively whether by asking questions in plain English, generating complex calculations, or uncovering patterns that might otherwise go unnoticed. Copilot for Power BI is embedded within healthcare data solutions, allowing care management—one of its core capabilities—to harness these AI-driven insights. In the context of care management analytics, this means turning a sea of clinical, claims, and operational data into actionable insights without needing to write a single line of code. This empowers teams across all technical levels to gain value from data. Driving better outcomes through intelligent insights in care management analytics The Care Management Analytics solution, built on the Healthcare data solutions platform, leverages Power BI with Copilot embedded directly within it. Here’s how Copilot for Power BI is revolutionizing care management: Enhancing decision-making with AI Traditionally, deriving insights from healthcare data required technical expertise and hours of analysis. Copilot simplifies this by allowing care managers and clinicians to ask questions like “Analyze which medical conditions have the highest cost and prevalence in low-income regions.” The AI interprets these queries and responds with visualizations, trends, and predictions—empowering faster, data-driven decisions. Proactive care planning By analyzing historical and real-time data, Copilot helps identify at-risk patients before complications arise. This enables care teams to intervene earlier, design more personalized care plans, and ultimately improve outcomes while reducing unnecessary hospitalizations. Operational efficiency From staffing models to resource allocation, Copilot provides visibility into operational metrics that can drive significant efficiency gains. Healthcare leaders can quickly identify bottlenecks, monitor key performance indicators (KPIs) and simulate “what-if” scenarios, enabling more i nformed, data-backed decisions on care delivery models. Reducing costs without compromising quality Cost containment is a constant challenge in healthcare. By highlighting areas of high spend and correlating them with clinical outcomes, Copilot empowers organizations to optimize care pathways and eliminate inefficiencies ensuring patients receive the right care at the right time, without waste. Democratizing data access Perhaps one of the most transformative aspects of Copilot is how it democratizes access to analytics. Non-technical users from care coordinators to nurse managers can interact with dashboards, explore data, and generate insights independently. This cultural shift encourages a more data-literate workforce and fosters collaboration across teams. Real-world impact Consider a healthcare system leveraging Power BI and Copilot to manage chronic disease populations more effectively. By combining claims data, social determinants of health (SDoH) indicators, and patient-reported outcomes, care teams can gain a comprehensive view of patient needs- enabling more coordinated care and proactively identifying care gaps. With these insights, organizations can launch targeted outreach initiatives that reduce avoidable emergency department (ED) visits, improve medication adherence, and ultimately enhance outcomes. The future is here The integration of Copilot for Power BI marks a pivotal moment for healthcare analytics. It bridges the gap between data and action, bringing AI to the frontlines of care. As the industry continues to embrace value-based care models, tools like Copilot will be essential in achieving the triple aim: better care, lower costs, and improved patient experience. Copilot is more than a tool — it is a strategic partner in you care transformation journey. Deployment of care management analytics Showcasing how a Population Health Director uncovers actionable insights through Copilot Note: To fully leverage the capabilities of the solution, please follow the deployment steps provided and use the sample data included with the Healthcare Data Solution. For more information on care management analytics, please review our detailed documentation and get started with transforming your healthcare data landscape today Overview of care management analytics - Microsoft Cloud for Healthcare | Microsoft Learn Deploy and analyze using Care management analytics - Training | Microsoft Learn. Medical device disclaimer: Microsoft products and services (1) are not designed, intended or made available as a medical device, and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customers/partners are responsible for ensuring solutions comply with applicable laws and regulations.
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HLS Spring Microsoft Teams Productivity Summit Registration is LIVE
We’re excited to announce the Microsoft Teams Productivity Summit is back. During this event, we’ll share fresh content tailored to help you drive real innovation in your organization. Throughout the week of April 17th th – April 21 st , we will discuss the Microsoft Viva employee engagement platform, Microsoft Teams call queue scheduling app, Microsoft Teams Premium, Power Automate in Teams, AI in Teams, and Frontline worker scenarios. RSVP through the session-specific registration links listed below, and feel free to forward this invite to anyone else within your organization. Session agendas details are listed in each registration link. In addition, targeted audience recommendations are listed below each session title. Session Date & Time Session Focus Session Registration Monday April 17 th 11:00am – 12:00pm EST Microsoft Teams + Workday Integration Target Audience: IT & HR Professionals aka.ms/TeamsSummitDay1 Monday April 17 th 2:00pm – 3:00pm EST A new 'home' experience for Microsoft Viva Connections Target Audience: IT Professionals. BDMs / TDM’s, HR, Corp Communications, and Learning & Development aka.ms/TeamsSummitDay1pm Tuesday April 18 th 11:00am – 12:00pm EST Microsoft Teams Call Queue Scheduling App & Teams with Teladoc Solo Target Audience: IT Professionals & Healthcare Professionals aka.ms/TeamsSummitDay2 Wednesday April 19 th 11:00am – 12:30pm EST Enhance your deployment with new Teams Premium features! Target Audience: All – Session is great for Champion Groups aka.ms/TeamsSummitDay3 Wednesday April 19 th 2:00pm – 3:00pm EST Microsoft Viva Licensing: Seeded vs Premium Target Audience: All aka.ms/TeamsSummitDay3pm Thursday April 20 th 11:00am – 12:00pm EST Power Automate in Microsoft Teams Target Audience: All & IT Professionals aka.ms/TeamsSummitDay4 Thursday April 20 th 2:00pm – 3:00pm EST How Microsoft Teams uses AI and machine learning to improve Microsoft Teams calls and meetings Target Audience: IT Professionals, HR, Corp Communications and Learning & Development aka.ms/teamssummitday4pm Friday April 21 st 11:00am – 12:00pm EST: Viva Engage: Bringing leaders, community, and knowledge together for your employees. Target Audience: IT Professionals, HR, Corp Communications and Learning and Development aka.ms/TeamsSummitDay5 Friday April 21 st 2:00pm – 3:00pm EST: Empowering Frontline Workers on shared mobile devices Target Audience: IT Professionals who manage a fleet of shared corporate devices aka.ms/TeamsSummitDay5pm
