

For many, growing databases have added costs for storage, impacted system performance, and increased PHI liability.
If your organization is grappling with any of these EHR database issues, rest assured, you’re not alone. One approach to mitigate data issues is archiving or purging patient records from their EHR database. A decision to archive data should not be taken lightly. We want to emphasize the importance of carefully considering all aspects of patient data.
Healthcare legacy data management is a strategic approach to retaining patient records from older or retired EHR/EMR systems, ensuring organizations keep historical data accessible for compliance, audits, and continuity of care. It allows healthcare providers to retire outdated applications without losing the critical information stored.
EHR archiving is the primary method for achieving this. It involves extracting data from legacy systems and storing it in a secure, searchable archive that remains accessible over the long term—without needing to maintain the old software. This reduces cost, lowers security risk, and keeps historical patient information available whenever it’s needed.
EHR data archiving addresses multiple organizational challenges, from rising storage costs and system slowdowns to compliance risks and PHI liability. Here are the key benefits:
EHR performance can slow by up to 20–30% as database size grows, especially for patients with large historical charts, according to multiple health‑IT performance analyses and vendor benchmarks.
Data storage costs can be reduced by 40–60% when organizations archive inactive EHR data instead of keeping it in the production environment.
More than 90% of healthcare organizations cite regulatory retention laws as the primary reason they must preserve older patient records, even when those records are rarely accessed.
More than 70% of healthcare organizations report using archived clinical data for research, quality improvement, or population‑health insights, even when that data is no longer needed in the active EHR.
Healthcare organizations can reduce their overall EHR database size by 15–30% through systematic data purging, according to health‑IT optimization studies.
It can give any healthcare organization pause when unnecessary data is impacting EHR performance, and you’re not sure which data can be offloaded from your system or how to go about doing that. A robust archiving solution that carefully considers the areas outlined above may be the right fix.
For information about secure storage for your EHR data, click here and learn about our eMedApps CareFinity Live Archive solutions.