More healthcare organizations want to move their in-house databases to the cloud. This type of project usually requires an Oracle DB conversion.

Some of the signs that your organization needs to move your database to the cloud include:

  • Time-consuming server management
  • The high cost of procuring equipment
  • Lack of flexibility
  • Inability to scale to meet the needs of the organization

It is a complex migration that needs careful planning and execution. If it’s not handled professionally, it can have adverse effects on workflow, productivity, and patient care quality.

The demand for cloud database solutions is growing. Recent research shows that the global cloud database market size is estimated to grow from $12 billion in 2020 to $24.8 billion in 2025.

However, this conversion of databases to the cloud must work smoothly to minimize existing clinical applications’ disruption. In this article, we will highlight five best practices to adopt when you are planning an Oracle database migration project.

1. Check the Skill Set of Your In-house Team

Do you have adequate Oracle DB skills and experience to start and finish the project? Apart from Oracle skills, does your team have the skills to work with the cloud platform you are moving to?

In many organizations today, these skills are difficult to find. The high demand for health IT personnel makes it difficult for most organizations to hire and retain top talent. In such cases, you’ll need to outsource parts of the project to obtain the full skill set and expertise you need to plan and complete the project.

Also, when you examine the present workload of your team members, do they have the time to work on this project? Those who have to work on a massive database project with millions of records, indexes, and other properties, need to concentrate 100 percent.

If working on the conversion project will lead to a delay in other projects, you need to evaluate the potential losses associated with such delays.

2. Assess Your Work Environment

Look closely at how you use all the applications tied to the database. Find out the number of users and other metrics that will help you gain a deep understanding of your conversion path. Your assessment will highlight the significant risks so you can bring them out into the open.

Beware that these assessments can be challenging to carry out because of the lifespan of many Oracle systems. Some organizations have been using their Oracle systems long before cloud computing became mainstream. Some of the people who set up the database may have since left the company.

3. Choose the Right Tools

Today, cloud service providers give users tools to help with database conversions and migrations. Some of them include Azure Migrate and AWS Migration Services. However, you will find that these tools cannot effectively handle the complexities of a typical Oracle database conversion.

To complete a demanding migration project, you need to use the appropriate Oracle migration templates from cloud migration consultants. Ensure that you test and evaluate these tools in advance to determine the ones that will deliver the type of results you desire.

4. Develop a Detailed Cutover Plan

You need a well-defined plan for migrating your Oracle database to the cloud. This plan is critical to minimize disruption to workflow.

In a hospital, disruption to workflow can stop clinicians from accessing vital patient records. Inadequate information will lead to a poor diagnosis or even allow the doctor to prescribe the wrong drugs for treatment.

So you need to create a task list and write out all dependencies for each item. List out the tasks in the order that will make workflow disruptions and surprises minimal.

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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.