MediQuant
Legacy EHR migration and active data archiving

MediQuant archives and migrates legacy healthcare data in DataArk so health systems can retire old applications while keeping clinical and financial records.
Best for
- Health systems retiring legacy EHRs or acquired practice applications
- Organizations needing clinical and financial records accessible after a conversion
Not ideal for
- Teams seeking only low-cost file storage
- Projects without staff to validate migrated records and retention requirements

Bottom line
MediQuant is a strong option for health systems that need to retire applications while preserving usable clinical and financial history. Its value is clearest when the archive and migration plan addresses how staff will retrieve and use records after the old systems close.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
MediQuant serves hospital IT, health information management, and revenue-cycle teams that need to close old applications without losing useful records. Harmony Healthcare IT is a genuine alternative for legacy-data archiving and migration. ELLKAY also operates in this market, while a general cloud-storage service offers a narrower set of capabilities.
This is a services-supported enterprise data project. The financial case depends on the maintenance and security burden removed when applications are retired, alongside archive fees and conversion work. A health system with several expensive legacy systems has a different business case from an organization keeping one small read-only database.
- Outcomes and workflow value (8.0): Named health-system references show useful application retirement and continuing record access.
- Product and service depth (8.3): Migration, conversion, active archiving, and clinical and financial access cover substantial legacy-data work.
- Ease of implementation (6.8): Extraction, mapping, validation, and user training remain significant project responsibilities.
- Pricing clarity (6.2): Commercial terms are negotiated; public customer comments show that value varies with scope and contract.
How DataArk Supports Application Retirement
MediQuant extracts, converts, organizes, and retains records from legacy systems, with DataArk providing an active archive for continued use. Clinical users can reach historical information, while financial teams can continue work involving legacy accounts. That ongoing access is more useful than simply preserving an unreadable database backup.
The homepage includes health-system accounts describing EHR-linked historical records and continued financial collections. These are specific examples of why the archive remains operational after a conversion. The destination record model, source provenance, and access requirements still need to be agreed for each application.
Migration Quality and Retention Responsibilities
A successful archive depends on knowing which data to migrate into the new clinical system, which records to retain separately, and how users will retrieve them. Staff need to validate representative records and difficult cases before the original applications are switched off. Retention policies and access controls should be part of the design.
MediQuant’s expanded platform announcement emphasizes making archived data useful and managing the application portfolio. This is a continuing data-lifecycle relationship, not an automatic claim that every old application can be removed immediately. Clinical, legal, and financial stakeholders may have different record requirements.
Customer Evidence and Service Tradeoffs
Company-published references describe savings and easier access, including Regional One Health’s reported $1.4 million saved four years into its project. The KLAS comment page offers a broader mix of positive support accounts and criticisms.
Public KLAS excerpts flag training depth, data-ingestion speed, and resource contention. Some customers find DataArk intuitive, while others want closer alignment with their EHR. A rollout should therefore budget for role-specific training and agree extraction schedules and support responsibilities alongside technical conversion.
Product and service details: mediquant.com, klasresearch.com.
Company scale
GetLatka reproduces a Growjo estimate of $30.4 million in MediQuant annual revenue dated September 2025. Scale source
What People Say
What people like
"The ease that DataArk has brought to the end user to find clinically or financially significant information is priceless."
"Every time I put in a ticket, MediQuant responds in a timely manner."
What people don't like
"MediQuant has training, but it really isn’t robust."
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| MediQuant | 7.6 | 6.8 |
| Harmony Healthcare IT | 7.2 | 7.5 |
| ELLKAY | 7.5 | 6.8 |
Pricing
| Item | Detail |
|---|---|
| Commercial model | Configured enterprise software and services agreement; no public DataArk dollar rate on the opened pages. |
| Project scope | Include source applications, extraction, conversion, validation, archive access, and support. |
| Ongoing cost | Compare archive operation with the full maintenance and security cost of retaining each legacy application. |
Leadership
Methodology
We reviewed product documentation, published service evidence, pricing, and customer accounts available on November 8, 2026. Scores are editorial assessments on a ten-point scale. The overall score weights outcomes and workflow value at 35%, product at 30%, implementation at 20%, and pricing clarity at 15%. Company-website testimonials are vendor-selected accounts.
Existing peer scores are carried from the linked HIR reviews.
Sources
- Healthcare Industry Reviews analysis of the product, service, and pricing sources below, conducted November 2026.
- mediquant.com ·
- klasresearch.com · comments/mediquant dataark all/194860
- getlatka.com · companies/mediquant.com
- mediquant.com · leadership team
- mediquant.com · mediquant expands enterprise archiving platform to help health systems optimize applications and activate legacy clinical data
