Softree Helps a Multi-Specialty Healthcare Network Modernize Revenue Cycle Management with Microsoft Fabric,
Power BI & AI
Built a centralized revenue intelligence dashboard for a multi-specialty healthcare network, reducing claim denials by 25% and speeding collections by 35%.
Business Process Challenges
A leading multi-specialty healthcare network operating eight hospitals and processing more than one million patient encounters annually struggled with fragmented revenue cycle operations. Financial data was spread across patient registration, billing, insurance, claims management, finance, and Excel-based systems, making it difficult to obtain a unified view of financial performance.
The lack of real-time visibility led to delayed claim processing, high denial rates, billing inaccuracies, slow reimbursement cycles, and manual reporting. Executives found it difficult to identify revenue leakage, monitor payer performance, and make timely financial decisions, ultimately impacting cash flow and operational efficiency.
Our Strategic Approach
Softree designed and implemented a centralized Revenue Cycle Intelligence solution using the Microsoft ecosystem. Microsoft Fabric was used to integrate data from patient registration, electronic health records, billing, claims, insurance, finance, and Excel into a unified analytics platform. Microsoft Dataverse served as the centralized data repository, while Power BI delivered executive dashboards with real-time financial and operational insights.
To streamline daily operations, we developed a Power Apps portal for billing and revenue cycle teams and automated workflows using Power Automate for claims processing, reimbursement tracking, payment reminders, and financial reporting. AI Builder and Copilot Studio were integrated to predict claim risks, identify revenue leakage, and provide conversational financial insights, enabling executives to make faster, data-driven decisions
How we delivered it.
Explore the Solution Through visuals
What changed for the client.
The solution significantly improved revenue cycle performance across the healthcare network. Claim processing time was reduced by 30%, claim denial rates decreased by 25%, billing accuracy improved by 20%, and payment collections accelerated by 35%. The organization also achieved an 18% reduction in revenue leakage and a 40% decrease in manual financial reporting efforts.
With real-time dashboards, AI-powered predictions, and automated workflows, leadership gained complete visibility into financial operations, enabling faster decisions, healthier cash flow, and a scalable foundation for future digital transformation initiatives.
The numbers behind the rollout.
The full integration layer.
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