Emergency Department Performance Analytics Platform
A Microsoft Fabric and Power BI analytics platform helped a multi-specialty healthcare network reduce emergency department wait times by approximately 34%.
Business Process Challenges
A large multi-specialty healthcare network operating multiple hospitals and emergency departments lacked unified visibility into patient flow, resource utilization, and service performance. Clinical, operational, and capacity data was fragmented across different systems and facilities.
Emergency department leaders faced long patient wait times, overcrowding, delayed triage, inconsistent bed utilization, and limited operational visibility. Manual spreadsheet-based reporting often surfaced operational issues a full day after they occurred, making it difficult for teams to respond quickly.
Our Strategic Approach
Softree developed a governed, scalable analytics platform using Microsoft Fabric and Power BI. Data from EHR, ambulance, laboratory, radiology, staffing, and bed-management systems was unified in OneLake through Microsoft Fabric Data Factory pipelines.
The solution used Lakehouse and Warehouse layers for curated and governed datasets, while Power BI semantic models powered executive, departmental, and shift-level dashboards. Microsoft Entra ID authentication and Row-Level Security provided controlled access to analytics across the organization.
How we delivered it.
Explore the Solution Through visuals
What changed for the client.
The platform delivered near real-time operational visibility across emergency departments and improved the speed of data-driven decision-making. Patient wait times were reduced by approximately 34%, while manual reporting effort decreased from around 22 hours per week to under 6 hours per week.
The governed Microsoft Fabric data foundation also created an AI-ready environment for future predictive and AI-driven healthcare operations.
The numbers behind the rollout.
The full integration layer.
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