Medical data migration is a relatively complex task. When patient data is residing in disparate legacy EHR systems, retrieving vital patient information can be chaotic. However, when it is done correctly, data migration will make complete patient data readily available to clinicians and improve the quality of patient care. Here are five ways to implement a successfully integrate medical data migration solutions and see a project to successful completion.

1. Choose the Right Source Data

You need to determine how many years of historical patient data to migrate to your current EHR. Decide whether to stick with the minimum number of years specified by your state (about seven to ten years) or add older data.

If you intend to keep historical data to monitor population health or improve patient care, you may migrate older data and improve diagnosis and patient care.

When choosing the data to migrate, remember to add any data that will improve clinician decision-making while using the present EHR. Create a data archive or repository if you find it challenging to decide where to put your data.

2. Create Correct Crosswalks

Your legacy EHR may not use the same coding system for medications as your current EHR. Before migration, you need to create crosswalks to convert the old medication codes to the new EHR format. A good example is the use of Multan library by some EHRs while others use the First data bank.

A careful examination of the legacy and current systems will reveal the number of crosswalks necessary for successful data migration.

This aspect of data migration may be time-consuming. However, planning for such data conversion ensures that clinicians will have accurate data in patient charts.

3. Build the Right Project Team

To implement a hitch-free data migration, you need a team of experts. Preferably, build a team with in-house database administrators complemented by external medical data migration consultants.

Internal members of the team will focus more on internal issues like use cases for data, maintaining workflow during migration, and rigorous testing of the migrated data. External team members can focus on EHR expertise, tools, scripts, and queries for extracting data.

4. Do Rigorous Validation and Testing

Data validation must take place throughout the migration process. After extracting and transforming data, an experienced in-house team member must validate the data before loading it into the new EHR.

After transferring data into the EHR, follow a detailed test plan to ensure that all patient data in the new EHR is complete and accurate. Perform incremental tests and work with representatives of end-user groups to ensure that the data fulfills the users’ requirements.

5. Work With a Health Data Migration Expert

Successful clinical data migration requires in-depth knowledge of the inner workings of the legacy EHR and the new one. Working with an expert that has worked extensively with both EHRs and completed many data migrations will minimize the risk of failure and enable you to get it right the first time.

Connect With a Medical Data Migration Solutions Provider

For more details on how to perform a successful healthcare data migration, call MediQuant at 844.286.8683 or visit our contact page to book a free consultation.


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.