Healthcare Financial Analytics Solution | Case Study | Addiction Treatment Center | VNB Health
Provider

Addiction Treatment Healthcare Provider

Technology

Microsoft Fabric

Microsoft Power BI

Sigmund EMR

Key Outcomes

Centralized Financial Data Management

Real-Time Financial Insights

Improved Reporting Accuracy and Efficiency

VNB Health empowered a nationally recognized not-for-profit addiction treatment healthcare organization to transform its financial data management and operational efficiency by delivering real-time insights through our Healthcare Financial Analytics solution.

Customer Profile

The customer is a prominent healthcare insurance provider serving a vast population. With a rich history in the industry, they are committed to delivering comprehensive healthcare solutions and enhancing member experiences. The organization operates in a highly regulated environment, necessitating robust and compliant systems. Due to the sheer volume of transactions and complex nature of healthcare data, the customer handles a significant workload, demanding efficient and reliable IT operations. 

Customer Situation

The customer handled 270/271 Healthcare Eligibility Benefit Inquiry transactions to verify patient healthcare eligibility, coverage, and benefits. The customer relied on custom API interfaces built on Microsoft BizTalk Server to connect with multiple insurance payers. This complex integration environment, characterized by high transaction volumes and frequent changes, was prone to instability. Updates to one payer’s interface often disrupted connections with others. To mitigate this risk, accelerate development and ease the build, deployment and testing process, the customer sought an automated solution that would enable continuous integration and continuous delivery (CI/CD) with robust automated testing.

Customer Profile

The customer is a leading nationally and internationally recognized not-for-profit facility dedicated to life saving addiction, behavioral healthcare treatment, research, prevention and medical education. They strive to provide best-in-class gender-specific, drug and alcohol addiction treatment for adolescents, young adults, adults and older adults who are suffering from drug and alcohol dependency and addiction.

The goal of the customer is to help people and leave a legacy for both themselves and for the people that are helped throughout the program, by providing accessible care, delivering evidence-based treatment and emphasizing ongoing support.

Customer Situation

The customer struggled with inefficient and time-consuming financial reporting due to a fragmented approach. They relied on out-of-the-box and custom reports from multiple disparate systems, including their Sigmund EMR, financial, and HR systems. As a result, this disjointed setup caused data inconsistencies and duplication of effort. It also delayed the delivery of timely insights, hindering informed financial decision-making.

As reporting demands grew, these manual processes became increasingly unmanageable. This made budget management, cash flow monitoring, and strategic planning more complex. Furthermore, data inconsistencies required constant reconciliation, affecting reporting accuracy and delaying strategic decisions. As financial data volumes expanded, the organization also faced performance and scalability issues. This highlighted the need for a more robust financial analytics solution.

To overcome these challenges, the customer sought an enterprise-grade healthcare financial analytics solution to centralize data from multiple systems, ensuring consistent data flow and enhancing data quality. Additionally, they needed a scalable platform capable of providing real-time financial insights to support strategic growth. After a thorough vendor evaluation, they selected VNB Health to build a tailored financial analytics solution to meet their needs.

VNB Solution

In response to the customer’s challenges, we tailored our Healthcare Financial Analytics solution built on Microsoft Fabric. We designed a scalable financial data analytics solution that centralized financial, operational, and clinical data from multiple sources. This approach eliminated data silos and inconsistencies, ensuring a single source of truth. As a result, data quality improved, providing accurate financial insights.

Our solution automated financial data processing, which streamlined reporting and minimized manual effort. This enhanced accuracy and accelerated the reporting cycle, enabling timely financial reports. In addition, decision-makers gained real-time visibility into key financial metrics such as Profit & Loss, Balance Sheet analysis, and Cash Flow tracking. Consequently, they could effectively monitor revenue streams, expense trends, and overall financial health.

By providing real-time insights and predictive analytics, the solution enabled the customer to achieve the agility needed for sustainable growth. This helped them continue their mission of delivering life-saving addiction treatment and behavioral healthcare services. They are now better equipped to make strategic decisions that support both their operational and financial goals.

Customer Benefits

  • Centralized Financial Data Management: The solution enabled the customer to consolidate their financial, operational, and clinical data into a single, reliable source, eliminating data silos and enhancing data quality for streamlined reporting.
  • Real-Time Financial Insights: Up-to-date visibility into key financial metrics, enabling proactive monitoring of revenue streams, expenses, and overall financial health.
  • Improved Reporting Accuracy and Efficiency: Automated data processing minimized manual effort, reduced errors, and accelerated the reporting cycle for timely financial reporting.
  • Reliable and Consistent Reporting: Established a unified financial data analytics solution that maintained consistency and accuracy across reports, building trust in financial insights and supporting strategic decision-making.
  • Operational Efficiency and Cost Management: Enhanced budget management and expense tracking, optimizing resource allocation and cash flow management.