Vendors test their software. They test it against their own specifications, in their own environment, with their own assumptions about how a clinic works. User acceptance testing is the clinic testing the configured system against the clinic's own workflows, with its own people, before real patients depend on it. Skipping it is the single most common reason a go-live that looked fine on paper turns into weeks of workarounds. This guide explains how to write a test plan a small or mid-sized practice can run in a few weeks.
Why acceptance testing is different from vendor testing
A vendor's quality assurance verifies that a feature does what the vendor designed it to do. Acceptance testing verifies that the feature, configured for your practice, does what your staff need it to do in the order they need to do it. The gap between the two is where the surprises live: a referral template that works but lacks the field your specialists require, an eligibility check that returns data but not the copay, a fee schedule loaded with last year's rates.
Acceptance testing also serves a second purpose. It is the first time end users touch the system in a structured way, which makes it a training rehearsal and a source of early feedback on configuration decisions that are cheap to change before go-live and expensive after.
Writing scenario-based test scripts
The most useful acceptance tests are scenarios, not feature checklists. A feature checklist asks whether the scheduling module can create an appointment. A scenario asks a front-desk user to schedule a new patient for a specific visit type with a specific insurance, verify eligibility, collect a copay, check the patient in, and confirm the encounter appears on the provider's schedule with the correct status. Scenarios catch the handoffs between modules, which is where most defects hide.
Build scenarios from the practice's real work. A practical starting set covers the following.
- New patient registration through check-in, including insurance capture and consent forms.
- Established patient visit from scheduling through charting, orders, and checkout.
- Claim creation, scrubbing, submission, and posting a remittance, using both a clean claim and one designed to fail an edit.
- Patient statement generation and a payment applied to a patient balance.
- Referral outbound and inbound, including document attachment.
- Lab order and result receipt, including an abnormal result routed to the provider.
- Prescription sent electronically, including a controlled substance if the practice prescribes them.
- Portal message from a patient and the staff response.
- A user with a restricted role attempting an action outside that role, to confirm access controls hold.
- Reports the practice relies on monthly, run against the test data and checked for expected totals.
Each script should state the role that performs it, the preconditions, the numbered steps, and the expected result at each step where a result can be observed. Keep the language plain enough that a tester who has never seen the script can run it without asking the author.
Test data and environments
Test in a non-production environment that mirrors the configuration going live, and use fabricated patients. Real patient data in a test environment creates both a privacy exposure and a data cleanup problem. Ask the vendor whether the test environment shares interfaces with production, because an e-prescribing or claims interface wired to live endpoints will send real transactions from test.
Create a small roster of test patients that covers the practice's realities: several payer types, a minor with a guarantor, a patient with a secondary insurance, a self-pay patient, and a patient with a name similar to another to test duplicate handling. If data is being migrated from a legacy system, include migrated records in the test set so the scripts exercise converted data, not just fresh entries.
Pass criteria and severity levels
A test step passes when the observed result matches the expected result. Anything else is a defect, and defects need a severity scale agreed before testing starts so that triage is not an argument.
| Severity | Definition | Go-live impact |
|---|---|---|
| Critical | Blocks a core workflow with no workaround, or risks patient safety or data integrity | Must be fixed before go-live |
| High | Blocks a core workflow but a documented workaround exists | Fix before go-live or accept with a dated plan |
| Medium | Degrades a workflow without blocking it | May defer with owner and target date |
| Low | Cosmetic or preference | Backlog |
Decide in advance what counts as a passing test cycle. A common standard is zero open critical defects, zero high defects without an accepted workaround, and every core scenario executed at least once by someone who will use that workflow in production.
Running the test cycle
Assign a coordinator who owns the schedule and the defect log. Schedule testers in short blocks, two hours at most, so they stay attentive and their regular work is covered. Have testers record the actual result for every step, not just failures, and capture screenshots for anything unexpected. Log defects the same day in a single shared tracker with the script, step, observed result, and severity.
Plan for at least two cycles. The first surfaces the configuration and interface issues; the second confirms the fixes and catches regressions. Retest a fixed defect with the same script and the same tester when possible, and re-run adjacent scenarios, because a fix to a fee schedule can change a claim script's expected result.
Making the go/no-go decision
Acceptance sign-off should be a documented decision by the practice, not the vendor. The go-live readiness review looks at the defect log against the pass criteria, the training completion status, the state of the data migration validation, and the downtime and support plan. If the criteria are not met, the right answer is to slip the date. Delaying a go-live by two weeks is cheap. Going live with a broken claims workflow is not.
Keep the test plan, the scripts, and the executed results after go-live. They become the regression suite for every future upgrade, and they are the clearest record you will have of what the system was supposed to do on the day you accepted it.
Common questions
How much time should a small practice budget for user acceptance testing?
For a single-site practice replacing a practice management or EMR system, two to four weeks of part-time testing across two cycles is typical. The larger cost is staff hours, so schedule testers in short blocks and cover their regular duties.
Can the vendor write our acceptance test scripts?
The vendor can supply a template and sample scripts, but the scenarios should be written or at least edited by the practice, because the point is to test your workflows and configuration, not the vendor's generic ones.
Is it acceptable to use real patient records in the test environment?
Avoid it. Fabricated test patients eliminate the privacy exposure and the cleanup risk. If migrated data must be tested, confirm the test environment is covered by the vendor's business associate agreement and is not connected to live interfaces.
What if the vendor says a defect is working as designed?
Record it as a configuration or requirements gap rather than a bug, decide whether a workaround is acceptable, and treat it with the same severity scale. Whether the vendor calls it a defect does not change its effect on your workflow.