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Microsoft Azure (Microsoft) > Case Studies > Dorset Healthcare's Transition to Data-Driven Insights with Azure and Power BI

Dorset Healthcare's Transition to Data-Driven Insights with Azure and Power BI

Microsoft Azure (Microsoft) Logo
Customer Company Size
Large Corporate
Region
  • Europe
Country
  • United Kingdom
Product
  • Azure Data Factory
  • Azure Synapse Analytics
  • Power BI
Tech Stack
  • Azure
  • Office 365
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
  • Digital Expertise
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Healthcare & Hospitals
Applicable Functions
  • Business Operation
  • Quality Assurance
Use Cases
  • Remote Asset Management
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • System Integration
About The Customer
Our Dorset Integrated Care System is a comprehensive healthcare network in Dorset, England, comprising various NHS Trusts, local authorities, and clinical organizations. It serves a large population by providing integrated health and care services. The system is characterized by its complexity, involving multiple organizations that historically operated in silos, each with its own data and information systems. The organization recognized the need to harness data to improve healthcare delivery, patient outcomes, and operational efficiency. By leveraging technology, Dorset aimed to break down data silos, foster collaboration, and enhance its ability to respond to healthcare challenges, such as the COVID-19 pandemic.
The Challenge
The Dorset healthcare system faced significant challenges in integrating and analyzing data from various sources due to the complex setup of multiple organizations. Information was siloed across the county's healthcare networks, making it difficult to collaborate and derive insights. The need for a unified data warehouse was identified to enable better decision-making and improve patient care. The COVID-19 pandemic further highlighted the urgency of having a robust data infrastructure to respond effectively to emerging healthcare challenges.
The Solution
Dorset Integrated Care System implemented a data warehouse on Azure, utilizing Azure Data Factory, Azure Synapse Analytics, and Power BI to integrate and analyze data from various sources. This setup allowed for the creation of drillable dashboards and performance scorecards, enabling real-time insights and self-service analytics. The system facilitated a cultural shift from traditional data consumption methods, such as Excel and PDFs, to more dynamic and interactive data visualization tools. The integration of patient data from local NHS Trusts and local authorities enabled comprehensive analysis and improved decision-making. The solution also supported the development of a COVID-19 dashboard, providing timely insights for risk and response planning.
Operational Impact
  • The implementation of the data warehouse and analytics platform led to a significant cultural shift within the Dorset healthcare system, promoting self-service analytics and real-time data access.
  • The system enabled the integration of various datasets, allowing for comprehensive analysis and improved decision-making across the healthcare network.
  • The COVID-19 dashboard provided timely insights for risk and response planning, enhancing the system's ability to respond to the pandemic effectively.
  • The platform facilitated collaboration among different organizations, breaking down data silos and fostering a culture of data-driven decision-making.
  • The use of Power BI and Azure services improved the efficiency of data processing and reporting, reducing reliance on manual data collection and analysis.
Quantitative Benefit
  • The data warehouse allowed for the integration of patient data from multiple sources, enhancing the ability to analyze and respond to healthcare challenges.
  • The COVID-19 dashboard was developed within a couple of weeks, demonstrating the system's agility in responding to emerging healthcare needs.
  • The platform supported the rapid identification of vulnerable patients, enabling targeted interventions and improved patient care.

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