Healthcare ATS Migration: A Step-by-Step Implementation Guide
- Aditya Mangal
- 4 days ago
- 5 min read
Most agencies don't switch ATS platforms because the old one stopped working. They switch because the old one never quite worked for healthcare, and three years of workarounds finally cost more than a migration would. If you're at that point, the actual switch is usually less painful than the anticipation of it, as long as the data migration is handled deliberately instead of rushed.
This guide walks through what a real healthcare ATS migration involves, in the order agencies actually need to think about it.
When should a staffing agency actually switch ATS platforms?
Before migration planning, it's worth confirming the switch is justified. The clearest signals: credentialing lives in a separate system from the ATS and someone manually reconciles the two, recruiters keep a personal spreadsheet because the ATS can't track what they need, or compliance reporting for an audit takes days instead of minutes because the data isn't structured for it.
Common operational mistake: agencies wait until a compliance audit goes badly before deciding to migrate. Migration under audit pressure means less time for data validation, which is exactly the step that can't be rushed.
If none of those signals apply and the current system is just imperfect, a migration may cost more in disruption than it saves. Map the actual gaps before assuming a switch is the fix.
What data actually needs to move during an ATS migration?
Four categories, and they don't carry equal risk.
Candidate and application records are usually the easiest to migrate. Most platforms export these cleanly, and even imperfect field mapping is recoverable.
Credential and compliance data is the highest-risk category. License numbers, expiration dates, and document attachments need to map correctly, or a candidate can show as compliant when they aren't. This is where most migration problems actually happen, not in the ATS pipeline data.
Client and facility records, including facility-specific compliance requirements, need to carry over intact. Losing the link between "this facility requires X" and the candidates being submitted there creates compliance risk immediately.
Historical placement and billing history matters less for day-to-day operations but matters a lot for audits and year-over-year reporting. Some agencies choose to archive this rather than fully migrate it, which is a reasonable trade-off if the new platform supports read-only access to the old system for a defined period.
Key takeaway for operations leaders: budget disproportionate validation time for credential data specifically. It's the category where an invisible error creates real compliance exposure, not just an inconvenience.
How do you avoid downtime during an ATS cutover?
The riskiest approach is a hard cutover: shut down the old system, migrate everything over a weekend, go live Monday. It works, but it leaves no room to catch mapping errors before they affect live operations.
A parallel-run approach is slower but safer: both systems stay live for a defined window (typically one to two pay cycles), with new records entered into the new platform while the old one stays accessible for reference and validation. This catches migration errors while they're still cheap to fix.
Pro tip for staffing agencies: run the parallel period long enough to complete one full credentialing renewal cycle for a sample of your active roster. That's the fastest way to confirm expiration tracking migrated correctly, since a bad migration on this specific field often doesn't show up until a real renewal date passes.
How do you get recruiters to actually adopt a new ATS?
Recruiter resistance is usually about workflow disruption, not the new tool being worse. Recruiters have built muscle memory around the old system's quirks, and that muscle memory becomes friction the moment it doesn't apply anymore.
The agencies that get through this cleanly do two things: they identify two or three recruiters as early testers before full rollout, and they set an explicit "old system read-only" date rather than letting both systems run indefinitely. An open-ended parallel period, without a hard end date, tends to become permanent, and half the team quietly keeps using the old workflow.
What usually breaks at scale: agencies with 15+ recruiters that skip the early-tester phase and go straight to full rollout. The volume of "how do I do X in the new system" questions overwhelms whoever is fielding them, and adoption stalls in week one.
How is a healthcare ATS migration different from a general ATS migration?
The core difference is the credentialing data risk described above. A general ATS migration mainly needs candidate and pipeline data to move cleanly. A healthcare ATS migration needs that plus license numbers, certification types, expiration dates, and facility-specific requirement mappings to all migrate correctly, because a mapping error here isn't a workflow inconvenience. It's a compliance gap that might not surface until a credential quietly expires unnoticed.
This is also why healthcare agencies should be skeptical of any migration timeline that treats credentialing data the same as standard candidate fields. It deserves its own validation pass.
How does Vars Health handle onboarding during a migration?
Vars Health's onboarding process treats credential data migration as its own step, separate from general candidate data import, specifically because of the compliance risk described above. Agencies moving from a general ATS or a patchwork of spreadsheets get a structured data validation pass on credentialing fields before go-live, rather than a single bulk import covering everything at once.
Where this fits best: agencies with an active roster where credentialing accuracy matters immediately, meaning most healthcare staffing agencies. Where it fits less cleanly: agencies with very large historical datasets they want fully migrated rather than archived, since deep historical migration adds timeline regardless of platform.
Frequently asked questions
1. How long does a healthcare ATS migration typically take?
For an agency with reasonably clean existing data, four to eight weeks is typical, including a parallel-run period. Agencies migrating from spreadsheets or heavily manual systems should expect the data cleanup step, not the software setup, to be the longest part.
2. What's the biggest risk during an ATS migration?
Credential and compliance data mapping errors. Pipeline and candidate data errors are usually visible and easy to catch. Credentialing errors can stay invisible until an expiration date is missed.
3. Should we migrate historical placement data or archive it?
Depends on audit and reporting needs. If historical data is needed for compliance audits going back multiple years, migrate it. If it's mainly for internal reference, read-only archival access to the old system is often sufficient and faster.
4. Can recruiters use both systems during the transition?
Yes, and a defined parallel-run window is generally safer than a hard cutover. The key is setting an explicit end date for the old system rather than letting it run indefinitely.
5. Do we need to pause recruiting during migration?
No, but active job orders and in-progress candidates should be identified and prioritized for early, careful migration so nothing falls through mid-pipeline during the switch.
The practical next step
Before choosing a new platform, pull a sample of your active roster's credentialing data and check how clean it actually is: complete fields, correct expiration dates, no duplicate records. That sample tells you more about your real migration timeline than any vendor's stated implementation estimate.
Vars Health's onboarding team handles credential data migration as a dedicated step. Book a demo at varshealth.com/demo to walk through what that process looks like for your specific data.
