Case Studies Paramedic services organization improves decision making to drive high quality care
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Paramedic services organization improves decision making to drive high quality care

Analytics & Modeling - Predictive Analytics
Application Infrastructure & Middleware - Data Visualization
Application Infrastructure & Middleware - Data Exchange & Integration
Healthcare & Hospitals
Business Operation
Quality Assurance
Data Science Services
System Integration
Wellington Free Ambulance (WFA) faced a challenge in making data visualizations from Qlik Sense easily interpretable for individuals without an analytical background. The data analytics team spent hours each week writing commentary to explain key takeaways from charts, graphs, and tables. This process was time-consuming and inefficient, and the team sought a way to provide in-depth information more efficiently while ensuring that the insights were accessible to both internal and external stakeholders.
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Wellington Free Ambulance (WFA) is a paramedic services organization that provides free emergency medical services to the greater Wellington and Wairarapa regions in New Zealand. The organization is dedicated to delivering high-quality care and operates various internal departments, including operations, fundraising, and human resources. WFA utilizes Qlik Sense to combine data from multiple sources, track operational KPIs, and share data-driven insights from a central location. The organization aims to improve decision-making processes and enhance the quality of care provided to the community.
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The data analytics team at WFA decided to leverage Narratives for Qlik to transform Qlik Sense visualizations into dynamic narratives. This integration allowed other departments to receive commentary alongside their reports, such as ambulance response times for the operations team and trends in fundraising effectiveness for the business development team. By incorporating Intelligent Narratives into the Qlik Sense dashboard and automating analysis, WFA empowered internal employees and external advisors, including the Ministry of Health, to instantly capture key information from charts and graphs. This led to improved operations and best-in-class paramedic care. Additionally, the data analytics team spent less time writing recurring commentary while providing in-depth insights in a language that everyone could understand, on-demand.
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The time spent on summarizing operational trends decreased from hours to minutes, significantly improving efficiency.
Insights became accessible to both internal and external viewers, broadening the adoption of data-driven decision-making.
The integration of Intelligent Narratives uncovered opportunities for better communication and collaboration across departments.
Summaries on operational trends decreased from hours to minutes.
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