Enhanced Financial Operations in a US Healthcare Company through Data And Automation

Real Results Happen With GetOnData

30 %

increase in productivity for financial operations

99.9 %

accuracy in financial reporting, ensuring compliance

2 ​M $

Is the amount that is saved annually through optimization

50 %

reduction in processing time via automation and integration

Introduction of the Project to improve Financial Operations for a US Healthcare Company

GetOnData Solutions collaborated with a primary US healthcare provider, operating a network of 20 hospitals and clinics, to enhance their financial operations using data-driven insights and process automation. Our goal was to improve healthcare efficiency, reduce costs, and support better financial decision-making across the organization. By leveraging advanced technologies and our expertise in data analytics, we aimed to optimize the client’s financial processes, focusing mainly on revenue cycle management automation. The specific objectives included reducing financial processing time by 50% and achieving $2 million in cost savings.

Key Highlights

Data Analytics

Data Engineering

Our Comprehensive Data-Driven Solution for Healthcare provider

GetOnData implemented a comprehensive solution that leveraged automation, advanced data analytics, and SaaS-based workflow tools:
Data Integration & Transformation

Data Integration and Centralization

We developed a centralized data platform using Snowflake to consolidate financial data from multiple sources, including billing systems, general ledgers, and expense management tools. Python scripts were utilized for ETL processes to integrate data into the Snowflake data warehouse seamlessly. Robust data governance and security measures were implemented to ensure data quality, integrity, and compliance with healthcare regulations.

Process Automation

To streamline revenue cycle management, critical financial processes such as invoicing, expense tracking, and reporting were automated using Python scripts and Snowflake’s automation capabilities. It also included automating journal entries, reconciliations, and financial statement generation.

Enhancing Financial Operations In A US Healthcare Company through Data And Automation Solutions
Advanced Data Analytics

Advanced Analytics and Insights

We deployed advanced analytics models using Python libraries such as NumPy, Pandas, and Scikit-learn to uncover insights into cost drivers, revenue streams, and operational efficiency. Machine learning techniques were leveraged to predict future financial performance and optimize resource allocation. Interactive dashboards and visualizations were created using PowerBI to provide real-time insights into financial KPIs, trends, and variances.

SaaS-based Workflow Solutions

Integrated SaaS-based workflow tools streamlined revenue cycle management processes, including claims processing, denials management, and patient billing. It automated the end-to-end revenue cycle management workflow, improving efficiency and reducing manual effort.

Interactive Dashboards

Our Solutions Impact on Healthcare Financial Operations

The integration of AWS and Snowflake, coupled with our comprehensive solution, resulted in significant improvements:

Improved Productivity

Reduced manual effort and enhanced productivity in financial operations and revenue cycle management by 30%.

Enhanced Visibility

Achieved real-time visibility into financial performance and the revenue cycle, allowing for more informed decision-making.

Cost Savings

Identified $2.5 million in annual cost savings through process optimization and resource allocation, leading to improved healthcare efficiency.

Improved Reporting Accuracy

Enhanced financial reporting accuracy to 99.9%, ensuring compliance with regulatory requirements.

Client Testimonial

GetOnData’s expertise in data engineering and analytics solutions has been instrumental in transforming our financial operations and revenue cycle management. The automated processes, data-driven insights, and improved efficiency have allowed us to operate more effectively and redirect resources to serve our patients better.

Case Studies

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