Healthcare Data Lifecycle Management Solutions

Data Lifecycle
Management

Archiving protects your data. Lifecycle
management decides what happens
next.

Retiring an application eliminates the cost and complexity of keeping it running. But the data still needs to be retained, secured and accessible for audits, records requests or subpoenas — sometimes for decades.
Without a way to act on retention policies, archives can simply keep growing, leaving you with more data to store, secure and manage.

MediQuant applies our customers’ data retention policies directly to archived data, so information is managed across its full lifecycle and defensibly disposed of when the time comes. That means less data to store, less risk to manage, and ultimately lower long-term costs.

Talk to Our Team

6,000+

migrations completed

9 years

average team tenure at MediQuant

700+

legacy systems we've worked with

Why Archives Keep Growing Long
After Applications Retire

Archiving solves an important problem: it lets you retire aging applications without losing access to the records your clinicians, HIM, and revenue cycle teams still need. For many organizations, though, that’s where the strategy stops.

Retention requirements have end dates. Most archives do not. Different records age out on different schedules, and requirements may vary across states and data types. When nothing happens at the end of the retention period, data continues to consume storage, require protection and potentially remain discoverable long after you're required to keep it.

Over time, that creates more cost, risk and complexity — and eventually, another cleanup project.

Your retention policies already exist. Your HIM, legal and compliance teams know what needs to be kept and for how long. What's often missing is a practical way to apply those policies to the data consistently and at scale. That's the gap MediQuant closes.

Partnering with MediQuant for data lifecycle management allows your organization to:

See legacy applications and archived datasets in one place, with visibility into data age, storage footprint, usage and cost — giving IT, finance and compliance a shared view.

Keep frequently used data readily accessible while creating opportunities to reduce the cost of storing older, less frequently accessed data.

Give finance and leadership meaningful data on cost takeout and storage trends, so decisions are based on actual usage and cost.

Apply retention policies consistently, with legal holds that stop disposal when required

Dispose of records when they reach the end of your organization's retention requirements, with reviewer authorization and a defensible audit trail.

Turn the legacy data you're required to keep into a governed, classified asset that can support analytics and AI initiatives

Starting with your application portfolio? See how ApplicationArk supports rationalization→

How Data Lifecycle Management Works

Lifecycle management works best when it starts the day data enters the archive. Here's an overview of the process.

1. Visibility. Every application, live or retired, comes into view in ApplicationArk, with what it costs and how it's used.

2. Retention Policy. During implementation, we work with your HIM, compliance, and legal teams to turn your retention policies into clear rules, including exceptions like legal holds.

3. Classification. As data enters DataArk, it's validated and sorted, so the records your teams rely on stay quickly accessible, and the files that are rarely opened can cost less.

4. Storage Aligned to Use. As data ages and use declines, storage costs come down with it, and the data stays retrievable.

5. Governed Disposition. When records meet retention criteria and no hold applies, they're retired withy our approval, and an audit record remains as proof of compliance.

Data Lifecycle
Management, Explained

What happens to your data after it's
archived?

See how MediQuant and DataArk keep the data you need accessible, manage it according to policy, and defensibly dispose of it when its retention period ends. It's how MediQuant helps healthcare organizations manage legacy data across its full lifecycle -- and go beyond the archive.

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