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Financial Allocation Reporting for Healthcare Businesses

August 22, 2024

Conventionally, manual methods and legacy systems were the norm in financial reporting processes. These were often prone to errors and inaccuracies. Advancements in technology and analytics now offer a more efficient solution through Financial Allocation Reports; this detailed financial document distributes costs, revenues, and resources across departments and units, ensuring reliability in financial budgeting and management. 

In healthcare, the need for accurate and timely financial reporting is crucial. With use of Financial Allocation reports, this can be achieved more easily.


The Challenges With Legacy Systems

It’s natural to get comfortable with traditional methods, but it is important to recognize the challenges they come with. Legacy systems like MS Access, while functional, bring in a fair share of struggles when it comes to healthcare financial reporting. 

A few hurdles are as follows:

  • Data entry from Excel spreadsheets requires manual effort; this is time-consuming, prone to mistakes, and delays reporting.

  • Macros are difficult to maintain, modify, and audit, leading to calculation inaccuracies.

  • The scope to scale is limited. As organizations grow, legacy systems like MS Access may not be able to handle increasing data volumes and complexity.

  • Manual processes and static reports hinder real-time financial decision-making, including those related to allocating costs and budgets.

Data Migration and ETL in Healthcare Finance

To address the challenges associated with manual data ingestion, complex calculations, and performance limitations of legacy systems, a comprehensive solution involving data migration, ETL, and stored procedures is implemented.


Data Migration


Identify relevant financial data within ERP softwares like SAP, including actuals, budgets, and relevant dimensions. Once determined, financial data is moved directly from SAP S4 HANA to an MS SQL Server data warehouse, bypassing intermediary steps. This approach eliminates the need for manual data entry and transfer through Excel and MS Access, reducing errors and time consumption. By directly transferring data from the source system, data integrity and accuracy are maintained. The migrated data serves as a solid foundation for subsequent data analysis, reporting, and decision-making in processes to follow.

ETL Pipeline Development

Developing an ETL (Extract, Transform, and Load) pipeline to implement step 1 ensures a more streamlined process. An ETL pipeline cleanses, standardizes, and enriches extracted data to align with the data warehouse schema. Transformed data is then loaded into the MS SQL Server data warehouse using optimized loading techniques. Robust error handling mechanisms are in place to manage data inconsistencies or failures during the ETL process.

MS Access macros are meticulously analyzed to comprehend the underlying logic and calculations. These calculations are then translated into efficient SQL Server stored procedures using T-SQL. This transition reflects the improved performance and scalability of SQL Server while maintaining computational integrity.

Performance optimization techniques, such as indexing and materialized views, are applied to enhance stored procedure efficiency. The optimized stored procedures are integrated with the data warehouse for streamlined data processing and analysis.

Automated Refresh and Reporting

Ensuring up-to-date data is very important, especially in an industry like healthcare where records and information is constantly being updated. To make this easier, schedule regular data refreshes to maintain data relevancy within the data warehouse. Automate report generation and distribution using tools such as Power BI to minimize manual work. Also, make use of interactive dashboards and reports that offer clear insights, to better visualize data. 

Impact

Implementing the above approach will be a huge asset in streamlining your financial reporting process. Let’s take a look at some of the benefits.

  • Data quality will improve with centralized data management and standardized processes that reduce errors and inconsistencies.

  • Data will be more accessible for all users within the team as a unified data platform enables seamless access to information for various stakeholders.

  • Automated data ingestion and transformation streamline processes, reducing manual effort and turnaround time.

  • Scalability will not be an issue; the data warehouse can accommodate growing data volumes and complexity, supporting organizational growth.

  • Reporting and analytics will improve through a solid data foundation that supports the creation of accurate and timely reports, as well as advanced analytics.

  • Automated reporting and data refreshes provide timely access to insights for more efficient healthcare financial management.

Accelerating Financial Allocation Reporting Through Automation and Optimization

Accurate calculations, timely report generation, and efficient cost allocation in healthcare are necessary for effective Financial Allocation Reporting.

For companies using Legacy Systems like MS Access, they can convert respective macros into SQL Server stored procedures, healthcare businesses can significantly improve calculation performance and maintainability. Stored procedures offer better scalability and reliability, allowing for efficient processing of large datasets and complex calculations.

Furthermore, automating data refreshes and report generation is crucial for timely and accurate financial reporting. Implementing a scheduled data refresh process ensures that the data warehouse is always up-to-date. Automated report generation and distribution using tools like SQL Server Reporting Services (SSRS) or Power BI streamline the reporting process, saving time and reducing errors. Creating interactive dashboards and reports provides clear and actionable insights for decision-makers.

Overcoming Challenges in Healthcare Financial Allocation

Healthcare organizations often face unique challenges in financial allocation reporting due to complex regulatory requirements, diverse revenue streams, and intricate cost structures. Here are some common challenges faced: 

Regulatory Compliance

The healthcare industry is heavily regulated, with stringent requirements for data privacy, security, and reimbursement. Ensuring that financial allocation reporting processes comply with regulations like HIPAA and Medicare is essential. This involves careful data handling, accurate coding, and detailed documentation.

Revenue Complexity

Healthcare organizations often have diverse revenue streams, including patient payments, insurance claims, and government grants. Accurately allocating these revenues to different departments and services can be complex. Developing clear allocation methodologies and using advanced analytics can help address these challenges.

Cost Allocation Challenges

Allocating indirect costs, such as overhead and administrative expenses, to various departments and services is another common challenge. Identifying appropriate cost drivers and using accurate allocation methods is essential for fair cost distribution.

Data Quality and Consistency

Ensuring data accuracy and consistency is critical for reliable financial allocation reporting. This involves implementing robust data cleansing and validation processes, as well as maintaining accurate cost and revenue data.

System Integration

Integrating data from various sources, including electronic health records (EHRs), financial systems, and human resources systems, can be a lot to handle. A well-designed data architecture is essential for seamless data flow and accurate calculations.

By addressing these challenges and implementing effective strategies, healthcare organizations can improve the accuracy and reliability of their financial allocation reports, enabling better decision-making and financial management.

The Role of Advanced Analytics


To extract maximum value from financial data, healthcare organizations can look into implementing advanced analytics techniques. Here are a few:

  • Data Mining: Discovering hidden patterns and correlations within large datasets to find out new opportunities.

  • Root Cause Analysis: Identifying the underlying causes of financial performance issues enables targeted corrective actions.

  • Benchmarking: Comparing performance against industry standards or peers provides valuable insights for improvement.

  • Prescriptive Analytics: Optimizing resource allocation and decision-making based on data-driven insights.

  • Machine Learning: Building predictive models to identify trends and patterns in complex data can optimize resource allocation and financial performance.

By incorporating advanced analytics into the financial allocation process, healthcare organizations can improve financial performance through decisions backed by data and maintain a competitive standing in the market.

Partner with Ascend Analytics for Optimal Financial Allocation

Through processes based on data warehousing, ETL, stored procedures, and automated reporting, healthcare organizations can transform their Financial Allocation Reporting process. These technologies deliver improved data quality, efficiency, scalability, and in-depth insight for advanced financial reporting in healthcare.

Ascend Analytics specializes in transforming healthcare financial management through data-driven solutions. Our expertise in implementing data warehousing, ETL, and advanced analytics has empowered healthcare businesses to optimize their financial allocation processes and streamline cost allocation in healthcare. By partnering with Ascend Analytics, you gain access to a team of experts who can help you:

  • Design and implement a tailored data warehousing solution to meet your specific needs.
  • Develop robust ETL pipelines to efficiently extract, transform, and load data.
  • Optimize financial allocation calculations through the creation of high-performance stored procedures.
  • Implement automated reporting and distribution processes for timely insights.
  • Use advanced analytics to extract hidden patterns and drive decision-making backed by data.

Let Ascend Analytics be your partner in achieving accurate, efficient, and insightful financial allocation reporting. Contact us today to learn more about how we can help your healthcare organization thrive.

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