HealthTest is PinnacleQM's HL7 testing tool and hybrid intelligent automation platform for healthcare. It validates HL7 messages and patient records, obfuscates sensitive data and runs millions of checks each day.
30+years of international
IT experience
Health platforms exchange huge volumes of HL7 messages between clinical and administrative systems. Testing them manually is slow and incomplete, and using real patient records in test environments breaches privacy, so coverage stays low and risk stays high.
HealthTest unpacks and sorts HL7 messages, obfuscates patient data with referential integrity, generates scripts and expected results, and verifies multiple environments in parallel at production volume, while clinical teams simply review outcomes and evidence in one place.
HealthTest handles what general tools cannot: HL7 structures, patient privacy and hospital-scale volumes. It is designed around health data and clinical pressures.
More than five million tests a day.
HL7 messages are unpacked and sorted by type automatically, so each message class is validated systematically.
Smart obfuscation protects patient data while keeping records linked, so privacy compliance can be demonstrated.
Test scripts and expected results are generated from real conditions, so set-up effort falls sharply.
Results are compared across environments at once, and differences between old and new platforms are flagged.
Millions of patient record checks run every day, so defects that appear only at hospital scale are found.
Clinicians review outcomes instead of testing manually, so their time and attention stay with patients.
Capabilities for healthcare data, messaging and integration testing.
HealthTest unpacks HL7 messages and sorts them by type, so each message class is validated systematically at volume and message defects are found before they ever reach clinical systems or patient care.
Sensitive patient data is obfuscated with referential integrity maintained, so records stay linked across systems, tests behave realistically, and clinical and privacy teams can approve its use with confidence across the organisation.
HealthTest creates test scripts and expected results automatically, and generates full test condition variations from obfuscated data, so coverage is far broader than manual design and preparation time falls sharply.
Comparison testing and parallel multi-environment verification show exactly where a new platform behaves differently from the one it replaces, with evidence retained so cut-over risk falls and differences are resolved before go-live.
HealthTest tests healthcare APIs, integrations, middleware and data flows, proving the connections between clinical systems end to end, so failures between systems are found early rather than by clinicians in production.
Automation creates and runs millions of patient record checks daily, validating platforms at the volumes hospitals really generate, so defects that appear only at scale are found and fixed before go-live.
HealthTest adoption starts with your integration landscape and its highest clinical risks, then grows step by step to full production-scale validation of every interface.
Every message.Map systems, interfaces and HL7 message types, prioritising them by clinical risk.
Obfuscate patient data, check integrity afterwards and record compliance evidence for privacy and clinical teams.
Create scripts, expected results and condition variations that cover real clinical conditions at production volume.
Run production-volume checks across environments in parallel and report differences for resolution.
Reuse assets for every future integration change, so each change costs less to validate.
A state health integration re-platforming was delivered by 7 testers in 12 months against competitor estimates of 40 to 46 testers over 36 months.
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HealthTest obfuscated production records, created full test condition variations and tested more than 5 million transactions per day, without exposing any patient information along the way.
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A resources company runs SAP and SuccessFactors regression every month with no testers at the keyboard and $0 additional cost.
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How to give teams realistic test data while meeting privacy obligations, including obfuscation, synthetic data and residency.
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Why business acceptance evidence, not test execution counts, should decide go-live, and how to gather it without draining business teams.
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The evidence, residual risks and conditions a credible go-live recommendation must include for decision-makers to rely on it.
Tell us about your health platforms, HL7 interfaces and programme timeline. We will show how HealthTest could validate them safely at scale, with patient data protected throughout.
Mention your health systems, HL7 interfaces and key dates.
