Source Data Extraction and Profiling
Getting data out of the legacy system and understanding what it actually contains, since documented schemas and real content diverge in every migration.
Custom Software
Hire EHR Migration Engineers
EHR migration engineers move clinical records from one system to another with evidence that nothing was lost. They handle extraction, mapping, transformation, loading, and reconciliation, and they plan the cutover so clinicians can practice safely during a transition that cannot be paused once it begins.
Migration is the highest-risk project a healthcare organization undertakes. The data is irreplaceable, the timeline is fixed by contract, and clinicians must continue seeing patients throughout. Failures are discovered months later when a record is needed and cannot be found. Taction Software treats verification as the deliverable, and our hire dedicated developers hub covers adjacent roles.
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What Migration Engineers Deliver
The work is extraction, mapping, and reconciliation, with cutover planning determining whether clinical operations survive the transition. The work below reflects that, drawing on the platform experience behind our healthcare software solutions.
Field-Level Mapping and Transformation
Mapping source to target with documented decisions about fields that do not correspond, since those decisions determine what the new system can represent.
Historical Record Migration
Moving documentation, results, and images with their timestamps and amendment history intact, since a record stripped of its history loses clinical and legal value.
Reconciliation and Verification Evidence
Producing counts, sampling, and field-level comparison proving the target holds what the source held, which is the actual deliverable of a migration.
Cutover Planning and Rehearsal
Planning the transition with dry runs, rollback conditions, and the dual-running period clinicians need, since cutover cannot be improvised.
Legacy Archive and Access Strategy
Determining what remains accessible in the legacy system and for how long, since not everything migrates and retention obligations continue regardless.
Migration Context This Role Requires
Migrations fail on data quality and cutover rather than on technical difficulty. Legacy systems contain decades of inconsistency, and clinicians must work through a transition with no pause available. The context below spans the healthcare work you assign.
01
Legacy Data Is Worse Than Documented
Free text in structured fields, inconsistent coding, and orphaned records appear in every migration. Profiling before mapping is mandatory rather than prudent.
02
Not Everything Maps Cleanly
Source fields without target equivalents force decisions about what is lost or transformed. Those decisions need clinical input rather than engineering judgment.
03
Cutover Cannot Be Paused
Once transition begins, clinicians must keep working. Plans need rollback conditions defined in advance rather than decided under pressure.
04
Missing Data Surfaces Late
Incomplete migration is discovered when a record is needed, potentially years later. Verification at cutover is the only opportunity to catch it.
05
Retention Obligations Continue
Records not migrated remain subject to retention requirements. Archive strategy is part of the migration rather than an afterthought.
06
Clinicians Need Both Systems Briefly
A dual-running period lets clinicians verify what they need is present. Compressing it to save cost transfers risk directly onto patient care.
Technical Skills This Work Requires
The differentiating skills are data profiling and reconciliation rigor rather than transformation coding. The competencies below reflect that, following the verification discipline in our quality assurance approach.
Source System Extraction
Getting data out of legacy platforms through supported paths or direct access, including systems whose vendors provide limited cooperation during a departure.
Data Profiling and Quality Assessment
Examining what source data actually contains before mapping, since assumptions about content produce mappings that fail on real records.
Clinical Data Mapping With Provenance
Mapping fields with recorded decisions and rationale, so a question about how a value arrived in the new system can be answered later.
Interface Cutover Coordination
Transitioning live feeds to the new system, using approaches covered in our healthcare integration services.
Reconciliation Methodology
Designing counts, sampling, and comparison that would detect loss, since a reconciliation that cannot fail provides no assurance.
Cutover Execution and Rollback Planning
Sequencing transition with rehearsals and defined rollback triggers, so a failing cutover produces reversion rather than improvisation.
How We Evaluate Migration Engineers
The distinguishing question is what their reconciliation caught. Engineers whose verification found nothing either ran a perfect migration or designed reconciliation that could not detect problems. Our assessment centers on profiling and verification rigor. Our delivery process includes review points where you can reassess fit.
Reconciliation Findings
We ask what verification caught before cutover. Engineers whose reconciliation found nothing likely designed comparison incapable of detecting loss.
Data Profiling Discoveries
We ask what the source data contained that documentation did not describe. Engineers who skipped profiling built mappings against an imagined schema.
Unmappable Field Handling
We ask about data with no target equivalent and who decided. Engineers making those calls alone made clinical decisions outside their remit.
Cutover Experience
We ask about a transition that went badly. Engineers who have lived through one plan rollback conditions rather than assuming success.
Archive Strategy
We ask what happened to unmigrated data. Engineers who did not address it left retention obligations attached to a system nobody maintains.
Verified Migration Experience
We describe which migrations each engineer executed and at what scale. We do not claim vendor certifications for engineers who do not hold them.
Engagement Options for Migration Work
Migrations are fixed-duration projects with immovable deadlines, which shapes engagement structure. Our engagement models accommodate the concentrated staffing migrations require.
Data Profiling and Feasibility First
Examining source content and assessing what can migrate before committing to a plan. This regularly reveals data problems that change the timeline.
Migration Team for a Defined Cutover
Concentrated staffing for extraction, mapping, reconciliation, and cutover against a fixed date, which is how migrations are realistically resourced.
Engineer With Clinical Mapping Input
Mapping decisions need clinical judgment. Engagements including clinical staff produce mappings reflecting what the data means rather than where it fits.
Augmenting Your Migration Team
Where you lead the migration, staff augmentation adds extraction and reconciliation capacity within your existing plan.
Full Team for Multi-Site Migration
A dedicated healthcare development team suits programs migrating several sites or systems with staged cutovers and coordinated interface transitions.
Fixed-Scope Migration Delivery
Where source, target, and scope are defined, a fixed-scope engagement delivers migration with reconciliation evidence and cutover support.
Tell Us Your Cutover Date
Share your source and target systems, your contractual timeline, and your data volumes. Fixed dates determine staffing and what verification is achievable.
Data Integrity, Retention, and Migration Boundaries
Migration moves irreplaceable clinical records. We build to HIPAA-aligned practices where HIPAA applies; software cannot be HIPAA certified. Decisions about what migrates and what is archived belong to your clinical and compliance leadership rather than to engineering convenience.
01
Reconciliation Evidence Before Cutover Sign-Off
Migration completes with documented comparison proving the target holds what the source held, since assurance without evidence cannot be relied upon later.
02
Clinical Input on Mapping Decisions
Where source data has no clean target equivalent, clinical staff decide what is preserved and how, since the choice affects what the record means.
03
History Preserved Through Migration
Amendment history and original timestamps transfer rather than collapsing into current-state values, since a record without history cannot be audited.
04
Retention Addressed for Unmigrated Data
Data remaining in the legacy system stays subject to retention obligations, with archive and access strategy documented rather than assumed.
05
Sensitive Record Handling During Transfer
Behavioral health and similar records require controlled handling in transit. We built CHIPSS, a behavioral health system, where such controls were foundational.
06
Migrations We Would Not Run
We would not cut over without reconciliation evidence, collapse amendment history to simplify mapping, or compress dual-running below what clinical safety requires.
Cost to Hire Migration Engineers and Execute
Cost tracks data volume, legacy data quality, and mapping complexity rather than target system choice. Poor source data quality is the most common cause of overrun. We publish no figures on migration duration, because that depends on your data and vendor cooperation.
- 01
MVP or Single Module
$40,000 to $80,000
Migration of a bounded data domain or single-practice dataset with profiling, mapping, reconciliation, and cutover support.
- 02
Full Platform Build
$80,000 to $200,000
Full record migration across clinical, scheduling, and billing domains with interface cutover, reconciliation evidence, and dual-running support.
- 03
Enterprise Deployment
Starting at $200,000
Multi-site migration with staged cutovers, several source systems, coordinated interface transitions, and archive strategy across facilities.
- 04
Discovery Phase Scoping
Discovery is paid and time-boxed. It produces source data profiling findings, mapping feasibility assessment, reconciliation design, and an itemized fixed-scope estimate.
- 05
Cost Drivers to Expect
Data volume and history depth, legacy data quality, source system extraction difficulty, mapping complexity, interface cutover scope, and dual-running duration.
- 06
Ongoing Support Costs
Post-migration issues surface for months. Budget for correction support, archive access maintenance, and reconciliation of items discovered after cutover.
Third-party licensing, cloud infrastructure, data subscriptions, and hardware are separate from engineering cost and itemised clearly.
Why Run Migration With Taction
Two questions matter. Whether reconciliation is designed to detect loss, and whether the vendor plans rollback before cutover. Taction Software has built healthcare software since 2013, more than twelve years, with over 200 healthcare projects delivered and ISO 27001 certification. Leadership brings more than twenty years of personal experience in the field, which is separate from company age.
We Built the Record Systems Data Moves Into
We built Voyant Health, an EHR platform, which means we understand target data models rather than treating the destination as a black box.
Sensitive Record Migration Experience
We built CHIPSS, a behavioral health system, where record handling required controls beyond ordinary clinical data transfer.
Experience Under Regulatory Registration
We built Revive Ease and PainKare, both FDA-registered applications. That work established the verification discipline reconciliation depends on.
ISO 27001 Certified Security Management
Taction Software holds ISO 27001 certification covering our information security management practices, described under our certifications and compliance information.
Reconciliation Designed to Fail
We build verification capable of detecting loss rather than confirming success, which occasionally delays a cutover and is the point of running it.
We Will Say the Timeline Is Not Safe
Where a contractual date does not allow adequate verification or dual running, we say so. That conversation is unwelcome and better than the alternative.
FAQs
Frequently Asked Questions
We profile your source data, assess extraction feasibility and mapping complexity, then present engineers with migration experience for your approval.
A bounded domain runs $40,000 to $80,000, full record migration $80,000 to $200,000, and multi-site migration starts at $200,000. Vendor extraction fees are itemized separately.
Our delivery history includes the Voyant Health EHR platform, the CHIPSS behavioral health system, and the FDA-registered applications Revive Ease and PainKare, within more than 200 healthcare projects delivered since 2013.
Through reconciliation evidence: counts, sampling, and field-level comparison documented before cutover sign-off, designed to detect loss rather than confirm success.
It remains subject to retention obligations, with archive and access strategy documented as part of the migration rather than left unaddressed.
Integration developers build ongoing interfaces between systems. Migration engineers execute a one-time transfer with verification, which is a different discipline with a fixed deadline.
Share your source and target systems, data volumes and history depth, your contractual cutover date, your clinical staffing for verification, and the engagement model you have in mind. We will profile source data first and say plainly if the timeline does not allow safe verification. We do not promise instant matching or guaranteed availability.