IVF Facts
June 15, 2026
10 min

Quality Management in Reproductive Medicine: Why Digital Workflows Are More Important Than Ever

Reproductive medicine faces a challenge: While scientificand technological possibilities are constantly expanding, the demands onquality, documentation, and traceability are rising at the same time.

Every new technology, every additional quality controlmeasure, and every regulatory requirement increases the workload in IVFlaboratories. This contributes to treatments becoming more complex and, in manymarkets, more expensive. At the same time, patients rightly expect the highestsafety standards and complete traceability of their treatment.

Quality is not an optional extra

In modern IVF laboratories, quality is not based onindividual checkpoints, but on the consistent control of the entire workflow.

From patient identification through gamete and embryoprocessing to cryopreservation and transfer, numerous processes must bedocumented, verified, and approved. Every additional manual step increases therisk of errors, data gaps, or incomplete documentation.

The challenge, therefore, lies not only in defining qualitystandards but in consistently implementing them in daily clinical practice.

When Documentation Becomes a Bottleneck

Many clinics today find that rising quality requirementslead to a significant increase in administrative workload.

Staff members document the same information in multiplesystems, maintain manual checklists, transfer data between laboratory equipmentand patient records, or create quality records retroactively.

While these activities ensure compliance, they tie up thevaluable time of highly qualified embryologists and lab staff.

Digital Workflows as Enablers for Modern QualityManagement

An IT-supported workflow like with MedITEX IVF takes a different approach: qualitymanagement is not viewed as an additional task, but is directly integrated intothe work process.

Digital checklists, electronic witnessing processes,automatic documentation of work steps, and the seamless integration oflaboratory equipment ensure that quality requirements automatically become partof daily operations.

This results in several advantages:

  • Greater process reliability through standardizedprocedures
  • Complete and traceable documentation in realtime
  • Reduction of manual transcription errors
  • Simplified preparation for audits andinspections
  • More time for patient-centered and scientificactivities

How this plays out in everyday lab life

Specifically, a digital workflow can take many differentforms:

  • Electronic witnessing instead of paperchecklists: Every critical processing step, such as assigning gametes andembryos to the correct patient, is verified digitally rather than beingmanually signed off on paper. The risk of mix-ups decreases, and documentationis generated automatically in the background.
  • Automatic batch and media tracking: Culturemedia, consumables, and their batch numbers are recorded directly within theworkflow. In the event of a deviation or recall, it is possible to seamlesslytrace which treatments are affected, without time-consuming searches throughpaper files.
  • CAPA management directly within the workflow:Corrective and preventive actions (CAPA) are recorded and tracked where thedeviation occurs, instead of retrospectively in a separate system. Each actionis assigned responsible parties, deadlines, and a status that can be tracked atany time.
  • Audit trails for ISO 15189, RTAC, ESHRE, andnational requirements: Every action is logged with a timestamp and user. Thedocumentation required for accreditations and inspections is thus available atthe touch of a button at any time, instead of having to be painstakinglycompiled before each audit.
  • KPI dashboards for QM and lab management: Keymetrics on process quality, utilization, and deviations are visible in realtime. This allows quality management and lab management to take action beforeindividual deviations turn into a structural problem.

Scaling quality without increasing complexity

With increasing demand for reproductive medicine services,many centers face the challenge of handling higher case volumes withoutcompromising on quality and safety.

An activity-based costing analysis of five U.S. IVFlaboratories with 600 to 2,200 egg retrievals per year, published in 2025 inthe Journal of Assisted Reproduction and Genetics, demonstrates the significantimpact of process efficiency and economies of scale. According to the analysis,smaller laboratories with around 500 retrievals per year had costs pertreatment that were approximately 40% higher than those of centers with around2,000 retrievals, largely due to lower utilization of staff and equipment.Labor efficiency was approximately 30% higher in the larger units.

A manufacturer-independent micro-cost analysis ofapproximately 4,190 treatment pathways in the Dutch healthcare system (EuropeanJournal of Health Economics, 2025) reaches a similar conclusion: Usingprocess-based cost accounting, it reveals the extent to which treatmentworkflows and hidden process inefficiencies determine actual costs and derivesconcrete savings potential from this.

It is revealing to see which activities the ABC analysisclassifies as largely fixed, volume-independent costs: setup, documentation,witnessing, and follow-up. This is precisely where digital workflows come intoplay. They enable clinics to standardize processes and reduce thedocumentation-related fixed-cost share without shifting an additional burdenonto employees. Transparent and standardized processes thus become a decisivesuccess factor for sustainable growth.

Not all technology is created equal

Criticism of the cost trends in IVF is justified, but itoften targets the wrong things. Much of what has made treatment more expensivein recent years consists of clinical “add-ons” with no solid evidence ofbenefit, not better outcomes. But anyone who derives a blanket distrust ofevery technology in the lab from this is making a category mistake.

After all, cost-driving add-on services that promise bettertreatment outcomes have nothing in common with the digitization of quality anddocumentation processes. Digital workflows do not promise higher pregnancy orlive birth rates, nor do they need to. Their value lies elsewhere: they reducedocumentation and administrative burdens, increase process reliability, andensure traceability. They take the burden off instead of adding to it. That isthe difference between a technology that merely inflates the bill and one thatimproves the lab.

The future of quality management is digital

The discussion about the rising costs of IVF should not beconducted solely from an economic perspective. Rather, the decisive question ishow quality, safety, and regulatory requirements can be ensured in the longterm, and which technologies actually serve this goal.

The standard should always be the same: a solution deservesa place in the lab only if it enhances safety and efficiency without driving upcosts or overpromising results. Digital workflow platforms meet this exactrequirement because they transform quality management from an administrativeobligation into an integral part of the clinical process.

After all, sustainable quality does not come from moreforms, but from intelligently designed processes.

 

Sources:

Murray, A. (2025). Activity-Based Costing in IVF: aframework for transparency and operational scaling of fertility services. Journal of Assisted Reproduction and Genetics 42 (12), pp. 4289–4299.DOI: 10.1007/s10815-025-03715-y

Leusder, M.; van Elten, H. J.; Ahaus, K.; Hilders, C. G. J.M.; van Santbrink, E. J. P. (2025). Patient-level cost analysis of subfertilitypathways in the Dutch healthcare system. The European Journal of HealthEconomics 26 (6), pp. 927–943. DOI: 10.1007/s10198-024-01744-5