The Risks of Delaying Data Migration for Healthcare Systems

As healthcare becomes wholly digitized, so too does the huge amount of private patient data the sector generates. The Electronic Health Records (EHR) for a single patient average several gigabytes per month.

To manage such a quantity of sensitive data there is only one long-term solution: structuring data along healthy data management and storage principles and migrating to an online cloud while ensuring cloud nativity.

Data migration includes restructuring data for PII/PHI separation and encryption, moving data from legacy systems to the cloud, ensuring that the systems are built to be cloud-native, and ensuring security with network isolation controls and with the least privilege.

To accomplish this effectively, healthcare systems should seek to avoid taking their “current baggage” with them when moving over to a new system.

This can be accomplished by using an automated strategy that brings forth healthy engineering principles into every layer of the ecosystem.