Open Enrollment Readiness for Health Plans: Why Performance Testing Is Just as Critical as Functional Accuracy

• Part two of a three-part blog series exploring key quality and performance considerations for health plans preparing for open enrollment.

For health plans, open enrollment can push systems far beyond their normal operating patterns. Member portals, enrollment processing, call center systems, APIs, eligibility platforms, and nightly batch processes may all face elevated volume at the same time, often within a narrow and unforgiving window. 

A system can produce the right result under normal conditions and still fail when demand rises. That distinction is what makes performance testing such an important part of open enrollment readiness. 

Functional testing confirms that systems and processes behave as intended. Performance testing goes a step further by asking whether they can continue to behave as intended when transaction volumes, concurrent users, and processing demands increase. 

The scale of health plan operations underscores the importance of performance readiness. Medical plans represented in the 2024 CAQH Index covered 216 million lives and accounted for 17 billion administrative transactions and three billion claims annually. * 

Why performance risk rises during open enrollment  

Open enrollment creates a combination of volume, timing, and interdependency that can expose weaknesses not visible during routine operations. Even systems that perform reliably throughout most of the year may behave differently when traffic spikes, batch sizes grow, and multiple downstream processes are competing for capacity. 

That matters because delays in one part of the environment can quickly affect others. An enrollment file that takes too long to process can delay eligibility updates, while an overloaded portal or API may prevent members, brokers, or employer groups from completing time-sensitive actions. 

Performance issues are especially difficult because they may not appear until the system is under real pressure. By the time the problem becomes visible in production, health plans may have little room to respond before member experience or operational workflows are affected. 

Where performance risk concentrates  

The exact risk profile will vary by health plan, platform, and line of business, but several areas deserve particular attention as open enrollment approaches. 

• Member portals. Traffic can rise sharply as members compare options, make elections, or check enrollment status, particularly near important enrollment dates and deadlines. 

• Enrollment file processing. Incoming enrollment files may be significantly larger or more frequent than normal daily volume, increasing the risk of delays that cascade into eligibility, billing, or claims processes. 

• API integrations. Connections with broker platforms, exchanges, employer group systems, and other partners may experience bursts of activity that steady-state monitoring does not reveal. 

• Batch processing windows. Nightly eligibility, enrollment, and other critical jobs may take longer as volumes rise, potentially affecting whether updates are complete before the next business day begins. 

• Core administration and eligibility systems. These platforms need to sustain increased transaction activity throughout the enrollment period, not simply survive one isolated peak. 

These areas do not operate independently. A delay or capacity issue at one point can affect the timing and accuracy of downstream processes, making end-to-end performance an important consideration. 

A system that works still has to work at scale 

It is easy to equate successful testing with a system producing the correct result. During open enrollment, however, correctness is only part of the readiness equation. 

A benefit calculation may be accurate, but that offers little reassurance if a member cannot load the portal needed to enroll. Likewise, an enrollment transaction may be configured correctly but still create a problem if the file times out or takes too long to reach the eligibility system. 

Performance testing helps health plans identify these issues before real users and real deadlines are involved. Transaction volumes swell during open enrollment, so confirming that a system works reliably under normal conditions is not adequate. The goal is to confirm that a system continues to work reliably under the conditions it is likely to face. 

The testing types that matter most  

Performance testing is not a single exercise. Different approaches answer different questions, and each can reveal a different kind of risk. 

• Load testing evaluates how systems behave at expected peak volume. It can help determine whether applications, infrastructure, and integrations can support the level of demand the health plan anticipates during open enrollment. 

• Stress testing goes beyond expected demand to identify where systems begin to degrade or fail. Understanding those limits can help teams recognize bottlenecks and determine whether there is enough capacity to absorb unexpected spikes. 

• Endurance testing evaluates performance over a sustained period rather than during a short burst. This can be especially important when systems need to operate under elevated demand for hours or days at a time. 

• Batch processing validation focuses on whether high-volume jobs can complete within required processing windows. For health plans, this may include nightly enrollment or eligibility updates that need to finish before downstream operations begin the next day. 

Taken together, these testing approaches provide a more complete picture of readiness. Skipping one can leave a blind spot that may not become apparent until production volume exposes it. 

Why performance testing can get deprioritized 

One of the biggest challenges with performance testing is that the risk can feel less immediate than a visible defect. A configuration or processing error produces an obvious incorrect result, while a performance issue may remain invisible until traffic reaches a certain threshold. 

That can make performance testing easier to defer when implementation timelines become compressed. If teams are facing late changes or limited testing windows, performance work may be treated as something to complete only if time allows. 

The challenge is that open enrollment is exactly when those risks become hardest to absorb. A capacity issue that might be manageable during a routine period can become much more disruptive when systems are processing large volumes of time-sensitive enrollment activity. 

Performance testing may also require environments, data volumes, tooling, and coordination that are not always readily available. Planning for those needs early can help prevent performance validation from becoming an afterthought at the end of the implementation cycle. 

Test realistic conditions, not average ones 

Performance readiness depends on how closely testing reflects the conditions systems will actually encounter. Average daily traffic may tell health plans very little about how a platform will behave during an enrollment deadline or a large overnight processing cycle. 

Testing scenarios should account for expected peaks, concurrent users, larger-than-normal files, burst activity across integrations, and sustained processing demands. Health plans should also consider what happens when several of those conditions occur at the same time. 

That broader perspective can help uncover issues that individual application tests may miss. The objective is to understand how the overall environment, not just one component, supports the workflows that depend on it. 

Measure readiness by continuity 

For members and operations teams, performance is often noticed only when it fails. A slow portal, delayed eligibility update, stalled batch process, or unavailable service can quickly become a member experience issue or an operational backlog. 

A better measure of readiness is whether critical processes continue to function reliably when demand rises. Can members access what they need? Can enrollment and eligibility transactions move through the system on time? Can integrations keep pace, and can batch processing finish within the required window? 

Performance testing gives health plans a way to answer those questions before open enrollment begins. It provides evidence that systems are configured correctly and prepared to support real-world demand. 

Make performance part of open enrollment readiness 

Smooth day-to-day performance reflects normal conditions, not the volume and deadline pressure open enrollment brings. Open enrollment tests whether health plan systems can continue working accurately and reliably at scale.

Performance testing should therefore be treated as its own area of risk, distinct from other testing activities. Load, stress, endurance, and batch testing each provide a different view of how systems are likely to behave when demand is highest. 

Health plans that make performance testing part of their readiness strategy are better positioned to identify capacity and processing issues before they reach members or operations. The objective is straightforward: know how systems will perform under pressure before open enrollment puts them to the test. 

How Tegria can help

Tegria supports health plans with performance testing focused on the systems, integrations, and workflows that need to remain reliable under real-world demand. Our teams help health plans identify potential bottlenecks and performance risks before they affect members and operations. 

Prepare for open enrollment with greater confidence. Contact Us. 

Read the next blog in our Open Enrollment Readiness for Health Plans series: Why Under-Testing Carries Hidden Costs.