There’s a saying that landing a big client is like a dog chasing a bus. What does the dog do when it catches the bus? In the case of one prominent revenue cycle management (RCM) company, it meant turning to emids for help.

The RCM company helps healthcare providers optimize the process of payment around patient care, from point-of-appointment scheduling to payment of a bill. The company can help providers capture money that otherwise wouldn’t hit their ledger and free them up to focus more on patient care.

The company had recently landed a contract with the largest not-for-profit healthcare system in the U.S. The prospect was exciting, but the data challenges were overwhelming. The healthcare provider operated more than 2,500 sites of care, including 141 hospitals and more than 30 senior living facilities nationwide. To integrate billing and claims data from these disparate sites into its platform and bring these facilities on board quickly, the company knew it needed help.

emids brought its broad expertise in healthcare data integration and testing and its deep knowledge of healthcare processes and data types to the problem. We analyzed the company’s needs and proposed a test data management (TDM) solution to help the client quickly and effectively scale operations to handle diverse use cases for the new hospitals.

The engagement included data masking, tested data generation, quality assurance for Meaningful Use compliance, monitoring and reporting setup.

The engagement was—and continues to be—a success. emids has helped the company support the large provider, delivering its part of the project on time and on budget. Ongoing benefits include:

  • 50 percent time savings for data validation efforts
  • Significant time savings for database and data setup scripts
  • Development of an open-source tool that creates rapid volumes of test data without manual effort.

Read more about how emids’ expertise in data integration, transformation and testing helped the RCM company provide efficient and accurate onboarding—not only for its major customer, but also for future customers with unique data sets.

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