Healthcare organizations can no longer depend on using the same IT tools and technologies for many years. Software and hardware have now become obsolete in less than a decade. As a result, data migration tools are needed to transition from legacy applications to modern cloud-based solutions.

Moving data from one computer environment to another is a long, multi-stage process involving detailed planning, profiling of data structures, extraction, loading, and testing.

This post will concentrate on the best tools for migration and some of the criteria for choosing migration software.

What Are The Categories of Data Migration Tools?

Automation tools for data migration projects vary based on the type of project. Since there are migration projects that range from upgrading a database to moving an entire healthcare management system to the cloud, the following types of migration tools exist today.

  1. Self-scripted tools: These are used for minor projects where the source and target solutions are not supported by other software.

They are written by extract-transform-load (ETL) developers or data engineers responsible for a particular project.

This type of DIY approach requires coding skills, and it is meant for engineers who have the time to write scripts.

  1. In-house Tools: On-premise migration tools are used in an enterprise network when there’s a merger or acquisition.

In such cases, moving to the cloud is not required. These tools are appropriate when compliance and security requirements do not allow the organization to use cloud computing technologies.

In-house tools allow the IT personnel to control every data element and monitor all the migration steps. However, such tools are not easy to scale or utilize in the cloud.

  1. Cloud-based Migration Tools: These tools can automate migration from in-house servers to the cloud or between two or more cloud environments.

Cloud-based tools can be scaled as required. However, the primary source of concern about these cloud migration tools is whether they can offer data protection while it is in transit from one cloud environment to another.

How to Select the Most Suitable Migration Solution

When choosing a data migration tool, here are some of the most important factors to consider.

Data sources and locations: Check whether the data files or databases you want to migrate are on the list of options on the tool you wish to acquire. Most commercially available on-premise and cloud-based migration tools will be suited for a variety of systems and platforms. Look carefully to know if your data types and destination are fully covered.

Scalability and performance: When your project requires moving a large volume of data in a restricted timeframe, you need to consider performance. In other words, how many records and indexes can the system transfer in an hour. Also, the tools should be scalable to meet changing needs. Most cloud-based tools can be scaled up, while on-premise migration solutions are limited by the type of hardware on which they’re installed.

Let’s Help You Choose Your Data Migration Tools

Give us a call now at 844.286.8683 to schedule a free consultation on data migration. You can also visit our contact page to send us a detailed message about your 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.