Healthcare

Building a Unified Population Health Analytics Platform with Microsoft Fabric,
OneLake, and Power BI

Softree unified healthcare data into a population health platform, reducing manual reporting by 78% and delivering 4× faster clinical insights.

softreetechnology.com/case-studies
population-health
0%
Reduction in Manual Reporting
0x
Faster Time-to-Insight
0%
Vaccination Coverage Visibility
Use Cases
Population Health Analytics, Healthcare Analytics, Business Intelligence
Industry
Healthcare
Project Type
Population Health Analytics Platform
Scale of Operation
Unified analytics platform supporting 428,000+ patients across multiple healthcare facilities.
End Users
2,000+ clinicians, analysts, executives, and care managers (inferred based on the described user roles)
Service Provided
Data AnalyticsData EngineeringMicrosoft Fabric ImplementationPower BI Dashboard DevelopmentData IntegrationHealthcare Analytics
The Client Challenge

Business Process Challenges

The Challenge

A multi-facility healthcare provider network struggled to gain a complete view of patient populations because critical information was spread across electronic health records, claims systems, laboratory platforms, and remote monitoring devices. Clinical and operational teams lacked a single trusted source of information, making it difficult to monitor chronic diseases and coordinate preventive care.

Reporting relied heavily on manual spreadsheet consolidation, consuming valuable analyst time while delaying access to actionable insights. Healthcare leaders could not identify regional disease patterns or at-risk patient groups quickly enough to support proactive interventions.

The organization needed a modern analytics platform capable of integrating diverse healthcare data sources, improving reporting speed, and establishing a governed foundation for future analytics and AI initiatives.

Our Approach

Our Strategic Approach

Our Approach

Softree designed and implemented a scalable population health analytics platform using Microsoft Fabric as the central analytics environment, OneLake as the unified data repository, and Power BI for interactive reporting. Data from EHR systems, claims platforms, laboratory systems, and wearable devices was securely ingested into a governed lakehouse architecture following Bronze, Silver, and Gold data layers.

The implementation followed a phased delivery approach. Secure data connections were established first, followed by automated ingestion pipelines, data cleansing and standardization, semantic data modeling, and finally the deployment of role-based dashboards for clinicians, executives, analysts, and care managers.

The platform delivered dedicated dashboards for diabetes trends, hypertension monitoring, heart disease risk assessment, preventive care, and vaccination coverage, enabling healthcare teams to monitor population health through a single source of truth.

Our Solution Architecture

How we delivered it.

MF
Microsoft Fabric
Integrated Microsoft Fabric layer in the solution architecture.
O
OneLake
Integrated OneLake layer in the solution architecture.
P
PowerBI
Integrated PowerBI layer in the solution architecture.
MFN
Microsoft Fabric Notebooks
Integrated Microsoft Fabric Notebooks layer in the solution architecture.
EIH
EHR Integration, Healthcare Analytics
Integrated EHR Integration, Healthcare Analytics layer in the solution architecture.
L
Lakehouse
Integrated Lakehouse layer in the solution architecture.
S
StarSchema
Integrated StarSchema layer in the solution architecture.
DG
Dataflows Gen2
Integrated Dataflows Gen2 layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The Outcome

Within two quarters of deployment, the healthcare provider significantly improved how clinical and executive teams monitored patient populations. Manual reporting effort was reduced by 78%, while clinical teams gained insights four times faster than previous reporting processes. The platform provided visibility into vaccination coverage across the population and supported analytics for more than 428,000 patients.

Near real-time reporting enabled earlier identification of at-risk patient groups, improved preventive care planning, and eliminated time-consuming spreadsheet-based reporting. Healthcare leaders could make more confident, data-driven decisions using governed dashboards with consistent, reliable information.

The platform established a scalable analytics foundation that can support future AI-powered healthcare initiatives, predictive analytics, and expanded population health programs.

Results & Business Impact

The numbers behind the rollout.

01
Report generation
Same-day automated
02
Approval cycle
Under 4 hours
03
Data accuracy
99%+ governed
04
App deployment
8–12 weeks low-code
Reference Tech Stack

The full integration layer.

Microsoft Fabric
OneLake
PowerBI
Microsoft Fabric Notebooks
EHR Integration, Healthcare Analytics
Lakehouse
StarSchema
Dataflows Gen2
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

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What we offer

Enterprise Integration
Cloud Architecture
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Microsoft Solutions
Offshore Engineering

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