Moving data from one EHR to another can be pretty challenging. But that does not mean you should abandon your EHR replacement plan. Successful EHR data transfer begins with an effective plan covering every detail, from source data analysis to validation of the migrated data. But it does not stop there. You must have access to the database format, schema, and any proprietary objects that can contain data. This article will highlight the basic steps to successful EHR data transfer.

1. Analyze Old EHR Data

Carry out an analysis of the legacy EHR. Find out the available means of exporting data from it. If necessary, contact the EHR vendor to know the best way to export data from it.

Find out if the source database is one of the well-known database brands such as Oracle, SQL Server, DB2, Mumps, MySQL, or Postgre SQL. Working with one of these is usually more accessible than a little-known proprietary database format.

At this stage, you also need to carefully analyze the database or table schema, the fields, data types, and coding systems.

2. Plan the Data Transfer

After you understand the type of database and data format in the legacy system, you need to plan the data transfer carefully.

List out all the activities involved in the migration, including data extraction, data transformation/conversion, and loading.

List out the tools you need for each task. Plan adequately for them if you need to write scripts or programs to extract and convert data. For complex data migration, you will need to work with a consultant that has handled a similar data migration project.

3. Minimize Downtime

In some medical practices, extended downtimes can have serious consequences. Most clinicians may not appreciate the need to stop attending to patients because you need to switch EHRs.

You may need to move all the data from the old system to the new one in a staging database and then inform all users about the minor disruptions that can occur.

4. Move the Data

Choose the most suitable format for your data transfer. If the old system can export data in HL7 or Continuity of Care Record format, you may use those to move the data.

Otherwise, you need to transfer the data from the old database in field and record format.

Before transferring data from the old EHR to the new one, ensure that you do field mapping. This process enables you to confirm that the correct data comes into the new system’s data fields.

Then using the appropriate tools, extract, transform, and load the data from the legacy database into a staging database. Some of the data may not fit perfectly into the new database, and such data must still be transferred, although it may be held in an unstructured format.

5. Test the Data

Perform extensive testing on the data in the staging database. Test applications that use the data and let end users retrieve data in a typical workflow.

6. Go Live

If the new database produces satisfactory results after testing, you can schedule your go-live date. Inform all EHR users about the possible disruption in the system.

Connect the staging database to the live EHR interface and let users test it with the new data.

Transferring data from one EHR to another can be simplified by working with the right data migration consultant. Contact a data migration expert to ensure that you can move EHR data successfully without unnecessary workflow disruptions.

Contact MediQuant for a Hassle-free EHR Data Transfer

Call MediQuant at 844.286.8683 now to schedule a free consultation. Visit our contact page to book a free demo of our data migration solutions.

Mediquant

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.