Early adopters of electronic medical records now have tons of data in their healthcare legacy systems. These systems have formed data silos that are difficult to access, integrate, or analyze with modern EHR data. With the ever-increasing patient data demands, telehealth, and mobile health applications, such legacy systems are fast becoming a liability to providers. If your institution considers moving legacy data to the cloud, these benefits should motivate you and your team to speed up the process.

1. Value Delivered Aligns With Costs

With on-premise systems, most capital investments in infrastructure are made by forecasting with insufficient knowledge about the future. Invariably, the investment either becomes too big because demand does not match expectations or inadequate due to demand explosion.

In contrast to on-premise systems, cloud-based platforms permit your institution to pay for infrastructure and applications as needed. This allows you to match your expenses perfectly to your present needs.

Ultimately, you can compare the costs for a cloud-based service with the value you obtain and make necessary adjustments when necessary.

2. Cloud-based Systems are Elastic

Old IT processes were designed based on static infrastructure. Server capacity, number of workstations, and applications were all based on static assumptions.

Cloud-based systems are not static; they are incredibly elastic. They allow CIOs and their teams to design and deploy more productive and cost-effective processes and systems.

For example, training environments are hardly used outside business hours. These systems can be shut to save resources. Similarly, servers used for development can be turned off when a project is over to save cost. That way, the organization only pays for the cloud environment when it is in use.

3. Resources are Almost Limitless

It is now possible to deploy cloud-based computing resources to team members in any part of the world. With major cloud providers like Google, Amazon, and Microsoft having a global reach, it is possible to collaborate with remote workers in any part of the world.

Instead of keeping legacy equipment in an office space that is seldom used, your organization can opt for a more economical cloud infrastructure based on demand.

4. Analytics Produces Better Insights

Healthcare providers that rely on cloud-based data warehouses can use machine learning algorithms for continuous analysis and improvement. Large healthcare providers with multiple branches will need to use various EHRs, LIS, RIS, and other information systems to analyze machine learning.

Modern cloud-based systems are so sophisticated that they can even offer real-time dashboards for continuous monitoring. Timely analytics can help clinicians predict significant outbreaks of diseases in the community and nip them in the bud before they become an epidemic.

5. Expert Analytics Can Be Outsourced

Data analytics is broadening in scope, and providers may only need specialized analytics periodically. This may not justify the need for keeping a specialist on your payroll.

You can pay for such analysis as a service and save the cost of keeping an in-house expert. Similarly, using cloud-based services allows vendors to give an industry-wide analysis that helps you make better use of your cloud-based systems.

Migrating your healthcare information systems is a future-proof strategy. With the recent regulations such as the Interoperability Rule, no provider can afford to ignore the cloud anymore.

Get Expert Help to Migrate Healthcare Legacy Systems

For more information and a free consultation on migrating legacy systems, call MediQuant at 844.286.8683. Visit our contact page to discuss your data management needs or see a demo of our data migration solutions.

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