Health data conversions are essential for a successful migration from one EHR to another. However, moving all the sensitive patient information is rigorous and challenging. The effects of the incorrect conversion of clinical data are far-reaching and crippling. Patients and their physicians may be without access to their data.

After conversion issues show up, they take months to investigate and rectify. That’s why it is better to prevent them from the onset. If you are preparing for a health data conversion project, here are some pitfalls to avoid.

1. Poor Data Assessment

A common mistake health IT teams make when starting the data conversion is not having a complete picture of the data that needs to be converted. The complexity of health data is seldom evident at first sight.

All the data required for the new EHR to function correctly may reside in different databases, have complex relationships, or be locked up in separate data silos.

State regulations requiring providers to retain data for decades further complicates the situation. Unfortunately, the data in different applications may not have been verified for quality.

In healthcare, it is not uncommon for users to misuse data fields and store the wrong type of data. For this reason, the data must be carefully reviewed to ensure the content of each field matches the label.

Before moving any legacy data, the data structure differences between the old EHR and the new one must be clearly understood.

2. Not Upgrading Network Infrastructure

Data migrations create heavy network traffic on servers (both in-house and in the cloud). But because most providers see the migration as a one-time project, they seldom budget adequately for network upgrades.

The truth is that most healthcare providers will migrate their data from one platform to another as they grow or decide to shift to a better EHR product.

Since data migration may involve moving terabytes of data stored for decades, it’s crucial to provide its uninterrupted movement. Expanding the network and upgrading wireless infrastructure will provide sufficient bandwidth to support all the data that must be moved during the migration process.

3. Inability to Use Cloud Infrastructure

Healthcare providers who ignore the cloud or despise it because of perceptions about security will not enjoy the benefits of cloud migration tools.

But the cloud offers flexibility that can reduce costs for most providers. It is possible to scale cloud infrastructure during migration to support the demands of massive data transfer and then reduce the bandwidth after completing the migration project.

Healthcare providers that get the best out of the cloud are prepared to embrace a hybrid cloud network. That means they can get their in-house applications, publicly hosted apps, and privately hosted cloud solutions to integrate and work together.

4. Failure to Address Workflow Disruption

Data conversion will always cause some disruption in workflow, and the key to a successful migration is to prepare to minimize these disruptions.

One commonly used method is to carry out heavy data movements during off-peak hours when there’s minimal network traffic.

5. Converting Healthcare Data Without the Help of Experts

Due to the complexity of data conversions and the consequences of errors, it is necessary to work with a healthcare data migration expert.

Data migration specialists help providers plan migrations, assess and prepare legacy data, create test plans, and ensure data quality after migration. They can also spot potential pitfalls early and help you to avoid costly migration mistakes.

Link Up With a Health Data Conversion Expert Today

If you plan to migrate or convert data from one EHR to another, contact MediQuant at 844.286.8683 today. Book a free consultation or request a demo of our data migration solutions by visiting our contact page.


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.