If you lead IT or data strategy for a US health system, healthcare data archiving now shapes your cost, risk, and compliance decisions. The volume tells the story.
According to L.E.K. Consulting, citing RBC Capital Markets, healthcare data is growing 36% a year. It climbed from roughly 2,300 exabytes in 2020 and was projected to reach 10,800 exabytes by 2025.
Much of that growth sits in systems you no longer want to run. Per NetApp, medical imaging alone can account for up to 90% of all clinical data, driving relentless storage pressure. Before you can retire legacy applications, you have to work through several operational challenges:
- Space constraints
- Rising operational and maintenance costs
- Data security exposure
- Poor scalability
- Unmanaged legacy data
These five guidelines cover the decisions that matter most: storage, security, scalability, retention, and execution. Work through them in order, and you turn a mounting liability into a controlled program.
What Is Healthcare Data Archiving?
Healthcare data archiving is the practice of moving inactive, legacy clinical and financial data into a secure, compliant, long-term repository. Crucially, you keep that data accessible to the teams who need it.
It is not the same as a backup. A backup is a disaster-recovery copy of active data, created so you can restore systems after a failure.
Archiving also differs from active EHR storage, which holds the live records clinicians touch every day. Instead, archiving targets the data left behind when you decommission an old EHR, EMR, or ERP. An enterprise data archiving solution extracts that data, retains it under your rules, and exposes it for release of information, audits, and billing.
Done well, healthcare data archiving delivers value across your organization:
- Continued clinical access to historical patient records at the point of care
- Ongoing accounts receivable workdown after you retire financial systems
- Audit and release-of-information support for compliance and HIM teams
- Lower maintenance, licensing, and hardware costs across your IT footprint
How much of your legacy data is still trapped in systems you keep paying to maintain?
1. Store Data in Cloud-Based Databases
Local storage fills up and forces costly hardware expansion. Cloud-based databases scale on demand, so you archive without hitting physical space constraints.
Downtime can affect both cloud and on-premises environments. Cloud recovery, however, is typically faster. That resilience matters when clinicians need legacy records during an outage.
Consolidation is the deeper win. Instead of maintaining dozens of aging servers, you support one scalable repository. That means fewer boxes to patch, fewer licenses to renew, and fewer vendors to manage.
2. Use the Strongest Encryption and Access Controls
In-house storage is not automatically more secure than the cloud. Neglected legacy applications often miss security patches, and each unpatched system widens your attack surface.
The stakes are quantifiable. According to IBM’s 2025 Cost of a Data Breach Report, healthcare had the costliest breaches of any industry for the 14th year running. The average healthcare breach reached $7.42 million.
A modern archive helps you contain that exposure. Cloud-based archiving enables role-based access control plus encryption in transit and at rest. Pairing archiving with strong healthcare data security safeguards shrinks the number of systems attackers can reach.
Fewer live systems also means fewer chances for human error. Every dormant application a user can log into is another door left open. Retiring those systems while preserving their data closes doors without losing records.
When did you last audit encryption on the legacy systems you no longer actively use?
3. Choose a Flexible Data Storage Plan
EHR storage needs change constantly as you acquire entities and retire systems. A flexible plan lets you pay for the capacity you actually use.
You avoid paying to maintain redundant in-house storage that sits idle. Match spend to need, then redirect the savings toward modernization.
Mergers and acquisitions make this urgent. Every deal brings more legacy EHR, EMR, and ERP systems onto your books. A flexible archive absorbs that data as it arrives, without launching a new hardware project each time.
Treat capacity as a variable, not a fixed asset. When you retire a system, its archived data should cost less to hold over time, not more. That predictability makes budgeting and modernization planning far easier.
4. Develop an EHR Data Archiving Plan
Archived data accumulates and slows access to what clinicians and billers need now. You cannot casually delete it, because retention laws apply. Two rules are frequently confused.
First, HIPAA’s six-year documentation rule (45 CFR 164.316) requires covered entities to retain compliance documentation for six years. That covers policies, risk analyses, and business associate agreements, not patient medical records.
Second, HIPAA sets no federal retention period for medical records. HHS notes that state laws govern how long records are kept. The American Health Information Management Association (AHIMA) recommends retaining adult records for 10 years, and state mandates generally range from 5 to 10 years, with minors’ records kept until the age of majority plus additional years.
Build those rules into an automated healthcare data archiving and purge policy. For example, move imaging studies to the archive after six months to speed access and cut clutter. Lean on partners who understand healthcare regulatory compliance.
Automation is what makes the plan hold up under audit. Manual retention tracking breaks down as data volumes climb and staff turns over. A rules-based archive applies each retention clock consistently, then purges records only when the law allows.
Map your policy to every state where you operate, not just your headquarters. Requirements vary widely, and minor patients often extend the clock for years. A defensible archive documents what you kept, why, and for how long.
How current is your retention policy?
5. Work With an EMR Migration Specialist
Internal IT teams are already stretched thin by upgrades, interfaces, and security work. Adding a complex, multi-system archive on top rarely goes well.
Partner with a specialist who can design and implement an archiving program that meets your goals and regulatory requirements. A proven partner also handles EMR data conversion and migration so historical records land cleanly in your go-forward system.
Vet that partner the way you vet any core-system vendor. Look for healthcare-specific experience, a track record with complex multi-system archives, and references from health systems your size. This is an investment you do not want to make twice.
Frequently Asked Questions
How Long Must Healthcare Data Be Retained?
HIPAA sets no federal retention period for patient medical records. State laws govern, and per AHIMA guidance and state statutes they generally range from 5 to 10 years for adults, with minors’ records kept until the age of majority plus additional years. Separately, HIPAA requires six years of retention for compliance documentation under 45 CFR 164.316.
What Is the Difference Between Archiving and Backing Up Healthcare Data?
A backup is a disaster-recovery copy of active data used to restore systems after a failure. Archiving moves inactive legacy data into a compliant, long-term repository for ongoing access, letting you retire the source system.
How Does Healthcare Data Archiving Support HIPAA Compliance?
Archiving centralizes legacy records in a secure repository with encryption and role-based access, reducing breach exposure across dormant systems. It also preserves the documentation and records you must retain to satisfy HIPAA and state retention rules.
What Data Can Be Archived From Legacy Systems?
You can archive inactive clinical, financial, and ERP data from retired EHR, EMR, HIS, and ERP applications. Medical imaging, which NetApp estimates at up to 90% of clinical data, is a primary target. Structured records, accounts receivable, and HR or payroll data can be archived as well.
Get Expert Help With Healthcare Data Archiving
You do not have to manage healthcare data archiving alone. MediQuant’s DataArk active archive platform has archived over 1.1 billion accounts and 500 million-plus patient records for more than 500 health systems.
DataArk uses machine-learning referential matching for a “one patient – one record” view of legacy data. It delivers EMR-integrated single sign-on, so clinicians reach archived records inside their normal workflows. Consolidating and retiring legacy systems this way can reduce costs by up to 80%.
The platform preserves data in its native format and supports varied clinical, financial, and ERP data sets. Billing teams keep working legacy accounts receivable.
HIM and compliance teams keep serving release-of-information and audit requests. You retire the systems, not the access.
That is the difference between storing legacy data and activating it. Your teams see the records they need, and your budget stops funding systems you no longer use.
Ready to move forward? Call MediQuant at 844.286.8683 for a free consultation, or visit our contact page to request a demo.
