Data migration is inevitable for healthcare providers in the U.S. The current interoperability rule makes it necessary for providers to move from on-premise installations to cloud-based platforms.

Migrating legacy data can be a daunting task. With terabytes of patient data generated each year, it is essential to apply the following best practices for data migration.

1. Don’t Migrate All Records

Before moving to a new city, you would carefully examine all your belongings. Then you would trash those you don’t need and repackage precious items to keep them safe.

Similarly, before you extract a single record from your database, you need to examine what you have in those legacy systems.

Decide what to archive and what to migrate. Inactive, deceased, or non-resident patients’ data qualifies for archiving, while you limit the data to migrate to your active patients.

You also need to avoid duplicating patient data as you do your migration. Remember that your EHR may contain duplicate data for a patient who married, moved, or changed insurance providers.

Run de-duplication tests to clean up your data before you migrate to a new platform.

2. Focus on Interoperability

When planning your data migration, you may only be concerned with moving your data to a new EHR. But migrating to a cloud-based system makes it easier to achieve more excellent connectivity. So this is the time to think of how your data migration can enhance interoperability through APIs.

Tune up your database and ensure that you develop a new schema that will enhance the use of technologies such as HL7 and fast healthcare interoperability resources (FHIR).

3. Prioritize Staff Training

Staff training may be the last thing on your mind when planning your data migration project. You may just want to move your data to your new EHR and get on with providing healthcare.

But using a new platform will bring on new challenges. You will need to give your users hands-on training to use the new system efficiently.

Start your training with the most tech-savvy users before training other users. Let the tech-savvy users support those who will need further assistance to use the new interface.

4. Do Rigorous Testing

Data migration for many providers involves working with billions of rows of records stored in different tables in your database. Different interfaces capture and display data for a variety of users in your organization.

That’s why you need to test the migrated data diligently. You need to test the integrity of the data immediately after migration.

Then allow all the different categories of users to test the data. For instance, every physician should search for a patient’s data and see all the diagnoses and treatment notes for each patient.

5. Choose the Right Data Migration Partner

Data migration in healthcare is not a simple task. Apart from moving data successfully, you also have to ensure that you comply with regulatory requirements.

The success of your migration project also depends on your ability to plan effectively and use the right tools for different phases of the project.

Working with a migration expert makes it easy for you to harness the skills, expertise, and experience of professionals who have completed similar migration projects in the past.

Discover More Data Migration Best Practices

Call MediQuant at 844.286.8683 today to discover all the best practices, processes, and tools you need for a successful data migration project. Connect with us through our contact page to discuss your data migration needs.


About the Author:
Founded in 1999, MediQuant’s initial objective was to provide innovative, dependable revenue cycle technology to the healthcare market. Led by seasoned healthcare and IT management professionals, the company’s purpose has widened in scope since its early days. Today, MediQuant provides comprehensive data life cycle management technology, working in close partnership with healthcare providers and other vendors to optimize data management, including revenue cycles. The MediQuant team, a core group composed of highly experienced IT professionals supported by knowledgeable administrative staff, boasts extensive experience in healthcare software development, EDI, clinical services, data management and other specialties. Utilizing a customer-focused approach, the MediQuant team customizes its data life cycle management technology to meet the needs of each client and supports that technology with a level of service unparalleled in the industry.