Healthcare Software Testing Services, Compliant, Secure & Release-Ready for Digital Health Teams
ThinkSys helps healthcare SaaS and enterprise teams ship faster with compliance-aware QA, reducing audit risk, integration failures, and release delays without slowing down your sprints. From HIPAA validation to HL7/FHIR interoperability testing, we cover every layer of your digital health platform.
Free assessment includes: compliance gap review · testing scope analysis · integration risk audit · ROI estimate, delivered within 48 hours, no commitment required.
What Is Healthcare Software Testing?
Healthcare software testing ensures that medical applications are built to the highest standards of safety, security, and compliance.
- Clinically accurate
- Secure for patient data (PHI)
- Compliant with regulations like HIPAA and HITECH
- Fully interoperable with systems like EHRs, HL7, and FHIR
It focuses not just on bugs, but on patient safety, compliance risk, and system reliability.
Who Needs Healthcare Software Testing Services?
- Healthcare SaaS companies preparing for scale
- Telehealth and remote care platforms
- EHR/EMR vendors and integrators
- Healthtech startups seeking HIPAA readiness
- Enterprises undergoing compliance audits
What Are Healthcare Software Testing Services?
Healthcare software testing is a specialized quality assurance process that validates medical and digital health applications for clinical accuracy, data security, regulatory compliance, and interoperability with healthcare systems such as EHRs, medical devices, and health information exchanges.
Unlike standard software QA, healthcare software testing focuses on:
A comprehensive healthcare software testing engagement covers the full lifecycle of a health platform: from validating core clinical workflows and user access controls, to verifying that your system exchanges data correctly with third-party integrations, performs under peak load, and leaves a complete audit trail that satisfies compliance reviewers.
The goal is not just to find bugs; it is to give your engineering, compliance, and product teams the confidence that the software is safe to release, safe to use, and ready for scrutiny.
Healthcare QA typically includes:
Patient workflow validation
Ensuring clinical processes such as scheduling, charting, prescribing, billing, and care coordination work correctly end-to-end, including edge cases and error states.
HIPAA and data protection validation
Verifying that PHI is handled, stored, transmitted, and accessed only in ways that comply with HIPAA's Privacy and Security Rules, including encryption, de-identification, and access controls.
Integration testing for HL7, FHIR, and EHR systems
Confirming that your platform correctly sends and receives clinical data across protocols, including HL7 v2, HL7 v3, FHIR R4, and SMART on FHIR, and that integrations with systems like Epic, Cerner, and Meditech behave as expected.
Automation, regression, and compliance traceability support
Running automated regression suites to catch regressions across releases, maintaining traceability matrices that link test cases to compliance controls, and generating documentation suitable for internal audits and regulatory reviews.
Why Healthcare Software Testing Requires Domain Expertise
Healthcare software doesn't fail the way other software fails. A broken checkout flow costs a retailer revenue. A broken medication dosing calculator, a failed EHR integration, or a misconfigured access control in a patient portal can cost something far greater. Testing digital health platforms requires teams who understand not just how software behaves, but what the consequences are when it doesn't, and what regulators, auditors, and clinical staff expect from a system that handles patient data and supports clinical decisions.
Generic QA teams bring strong engineering skills. What they don't bring is the clinical context, compliance fluency, and integration knowledge that healthcare software demands. The following four challenges explain why that gap matters.
Patient and Operational Risk
Testing in healthcare requires deliberate validation of failure states, edge cases, and stress scenarios: what happens when a data feed from a connected device drops mid-session? What does the system do when two patients share the same date of birth and a similar name? What occurs when a provider attempts to access a record outside their authorized scope? These are the scenarios that put patients at risk and that generic test plans simply don't cover. Experienced healthcare QA engineers design test cases around clinical reality, not just functional requirements.
Compliance and Regulatory Pressure
Audit readiness is not a one-time event; it is an ongoing posture. Every release can introduce a change that creates a new compliance gap: a new data field that wasn't assessed for PHI sensitivity, a new API endpoint that lacks proper authentication, or a log that was supposed to capture access events but was silently failing. Healthcare QA teams build compliance traceability into the testing process from day one, mapping test cases to specific HIPAA controls, generating documentation that satisfies auditors, and flagging changes that carry regulatory risk before they reach production. Without this discipline baked into QA, compliance becomes a fire drill before each audit rather than a continuous property of the system.
Interoperability Complexity
Interoperability testing in healthcare is a deep specialty. HL7 v2 ADT messages need to be validated for correct segment structure, field population, and event trigger behavior. FHIR R4 resource schemas must be tested against the profiles defined by implementation guides, US Core, Da Vinci, and USCDI. SMART on FHIR launch sequences need to be validated for OAuth2 scope correctness and launch context fidelity. APIs connecting to Epic or Cerner need to be tested against those vendors' specific implementation requirements, not just the base FHIR spec. Getting interoperability testing right requires engineers who work with these standards regularly, not teams reading the HL7 documentation for the first time.
Release Speed vs. Risk
Traditional QA approaches, manual testing by generalist engineers at the end of a sprint, fail in this environment for two reasons. First, they're too slow: by the time a regression is found, the code has moved on, and the fix is expensive. Second, they're not calibrated to healthcare risk: manual testers without compliance knowledge don't know which failures are ordinary bugs and which are reportable events. Healthcare QA must be integrated into the development process from the start, with automation handling regression at speed and compliance-aware engineers reviewing anything that touches PHI, access controls, or clinical logic. Speed and safety are not opposites when the process is designed correctly.
Key Benefits of Healthcare Software Testing
Why Choose ThinkSys for Healthcare Software Testing
ThinkSys brings together 15+ years of QA experience, 300+ certified testing professionals, and a delivery model built specifically for the compliance, integration, and speed demands of healthcare software. We don't adapt a generic QA process to healthcare; we've built our healthcare QA practice from the ground up around the realities of HIPAA, HL7, FHIR, and clinical workflow validation.
Compliance-Aware QA, Built In From Day One
Your test coverage maps directly to HIPAA safeguards, HITECH requirements, role-based access controls, and audit documentation standards, so you're never caught unprepared when a compliance review arrives. We maintain traceability matrices that link every test case to a specific regulatory control, giving your compliance team the documentation they need without a scramble.
Interoperability-First Testing Across the Healthcare Ecosystem
We test HL7 v2 and v3 message flows, FHIR R4 resource schemas, SMART on FHIR launch sequences, and direct integrations with Epic, Cerner, Meditech, and Athenahealth. Our engineers have worked with these integrations across dozens of engagements; they don't learn from your project.
The Right Balance of Automation and Manual Testing
We automate what should be automated: regression suites, API contract testing, billing workflow validation, CI/CD pipeline integration, and we apply skilled manual testing where automation falls short: exploratory testing of clinical workflows, usability validation for patient and provider interfaces, and assessment of unstable or rapidly changing features.
Scalable Engagement Models That Fit Your Team
Whether you need a dedicated QA team embedded in your sprint process, project-based testing for a specific release, or QA augmentation to fill specific skill gaps, we structure our engagement around your delivery model, not ours. We scale up and down with your release calendar.
Executive-Level Reporting That Drives Decisions
Every engagement produces reporting that speaks to both engineering and leadership: defect density by risk tier, compliance coverage metrics, release readiness indicators, and trend data across releases. Your CTO and compliance officer see what they need to make confident go/no-go decisions.
Healthcare Software Testing Services We Provide
ThinkSys delivers end-to-end healthcare QA coverage across every layer of your digital health platform, from core clinical functionality to compliance documentation. Each service below is delivered by QA engineers with healthcare-specific domain knowledge, not adapted from a generic testing practice.
We validate real-world clinical and operational workflows to ensure accuracy, reliability, and usability. This includes:
- Patient registration and identity verification
- Clinical charting and documentation workflows
- Appointment scheduling and care coordination
- Prescription and medication management
- Patient portal and provider interactions
We design test cases around how clinical users actually work, including the edge cases, workarounds, and failure states that matter most in a clinical environment.
Examples
Verifying that a new patient registration correctly de-duplicates against existing records; validating that a clinical decision support alert fires under the correct conditions and can be properly acknowledged; confirming that a care plan update propagates correctly across all affected modules.
We ensure seamless data exchange across healthcare systems and standards.
- HL7 v2/v3 message validation (ADT, ORM, ORU, MDM)
- FHIR R4 resource and profile validation (US Core, Da Vinci)
- SMART on FHIR authentication and launch workflows
- EHR integrations (Epic, Cerner, Meditech, Athenahealth)
- Data mapping and transformation validation
Examples
Validating that an ADT A01 message triggers the correct patient registration event in your platform; testing that a FHIR MedicationRequest resource correctly maps to your internal data model; verifying OAuth2 launch sequences work correctly across different EHR launch contexts.
We identify vulnerabilities that could expose PHI or violate compliance requirements.
- Role-based access control (RBAC) validation
- Authentication and session management testing
- PHI exposure detection in APIs, logs, and UI
- Encryption validation (data at rest and in transit)
- Penetration testing for healthcare systems
Examples
Confirming that a provider cannot access records outside their assigned patient panel; verifying that PHI does not appear in application logs, error messages, or API error responses; testing that session tokens expire correctly and cannot be reused after logout.
We ensure your platform performs reliably under real-world and peak conditions.
- Load testing for concurrent users and workflows
- Stress testing for system limits and failure handling
- Scalability validation for growth scenarios
- API and integration performance testing
- System recovery and failover validation
Examples
Simulating 500 concurrent telehealth sessions to validate video infrastructure scaling; load testing a billing pipeline processing 50,000 claims submissions in a four-hour window; stress testing an EHR integration layer to identify the point at which HL7 message processing begins to queue.
We validate all APIs to ensure secure, reliable, and compliant integrations.
- API schema and contract validation
- Authentication and authorization testing
- Negative and boundary testing
- Error handling and response validation
- Regression testing integrated with CI/CD pipelines
Examples
Validating that a FHIR Patient resource returned by your API conforms to the US Core Patient profile; testing that an API returns a 401 rather than exposing data when called without a valid token; verifying that rate limiting is correctly enforced on public-facing patient data endpoints.
We build healthcare-safe automation frameworks that accelerate releases without compromising compliance.
- Automated regression for critical workflows
- API and integration automation testing
- CI/CD pipeline integration (Jenkins, GitHub Actions, Azure DevOps)
- Secure test data handling (synthetic or de-identified PHI)
- Scalable frameworks using Playwright, Selenium, Cypress, Appium
We ensure new releases do not break existing functionality or compliance coverage.
- Risk-based regression test suites
- Automation + manual hybrid validation
- Cross-module dependency testing
- Continuous validation across releases
We improve usability for both patients and healthcare professionals.
- Patient portal usability testing
- Provider dashboard workflow validation
- Accessibility testing (WCAG 2.1)
- Real-world user scenario testing
Examples
Evaluating a provider dashboard for cognitive load during a simulated high-volume clinical day; testing a patient portal onboarding flow with users representing a range of digital literacy levels; assessing a mobile app's accessibility compliance against WCAG 2.1 AA standards.
We validate mobile healthcare apps across devices and environments.
- Functional testing across devices and OS versions
- Offline and low-connectivity testing
- Push notification and alert validation
- Biometric authentication testing
- Secure on-device data handling validation
We ensure your platform meets regulatory and audit requirements.
- HIPAA compliance validation (Privacy & Security Rules)
- Audit trail and logging verification
- Traceability matrix creation
- Compliance-ready documentation for audits
- Secure test data handling under BAA
Healthcare Platforms and Systems We Test
ThinkSys has direct testing experience across the full spectrum of healthcare software, from core clinical systems to consumer-facing digital health applications. We understand the specific workflows, integration patterns, and compliance requirements of each platform category.
EHR and EMR Systems
Ambulatory and inpatient electronic health record and electronic medical record platforms, including custom implementations and integrations with Epic, Cerner, Meditech, Athenahealth, and eClinicalWorks.
Telehealth and Virtual Care Platforms
Video visit infrastructure, virtual waiting rooms, remote intake and consent workflows, provider scheduling, and post-visit documentation flows.
Remote Patient Monitoring Systems
Device integration and data ingestion pipelines, vital sign alert logic, patient-reported outcome workflows, and care team notification systems.
Medical Billing and Revenue Cycle Management Systems
Claims generation and submission workflows, remittance processing, denial management, eligibility verification, and clearinghouse integration testing.
Patient Portals and Engagement Platforms
Appointment scheduling, secure messaging, care plan access, results delivery, and patient-reported data collection.
Provider Dashboards and Clinical Decision Support Tools
Alerting logic, care gap identification, population health views, and clinical data visualization.
Healthcare Mobile Applications
Patient-facing iOS and Android apps for appointment management, symptom tracking, medication adherence, chronic disease management, and provider communication.
Connected Medical Devices and IoT Health Platforms
Device registration, data transmission validation, alert threshold testing, and integration with clinical data repositories.
Healthcare Data and Analytics Platforms
Data pipeline validation, de-identification verification, reporting accuracy, and FHIR bulk data export testing.
Health Information Exchanges and Interoperability Platforms
Direct messaging, query/retrieve workflows, consent management, and cross-organizational data sharing validation.
Our Healthcare Software Testing Approach
Every ThinkSys healthcare engagement follows a structured five-phase approach designed to deliver compliance coverage, integration confidence, and release readiness, not just a test results report.
Requirement and Risk Analysis
We begin every engagement by understanding your platform, your release goals, and your risk landscape. This means reviewing functional requirements, reviewing any existing compliance documentation, and working with your product and engineering teams to identify the areas of highest clinical, regulatory, and integration risk. The output of this phase is a risk-tiered test coverage plan that tells your team exactly what will be tested, at what depth, and why, with compliance controls mapped to specific test areas from day one.
Deliverable
Risk-mapped test coverage matrix with HIPAA control tagging and prioritized test scope.
Healthcare Compliance, Security, and Traceability Testing
Compliance in healthcare software is not a feature; it is a continuous property of the system that must be validated with every release. ThinkSys builds compliance validation into the testing process rather than treating it as a separate audit activity, ensuring that your team has both the coverage and the documentation to demonstrate compliance at any point in the development lifecycle.
Our compliance and security testing for healthcare software covers:
HIPAA-sensitive workflow validation
Identifying every workflow that touches PHI and verifying that it handles, stores, and transmits that data in accordance with HIPAA's Privacy and Security Rules, including minimum necessary access, data retention limits, and PHI disposal procedures.
Role-based access control validation
Testing every permission boundary in your system to confirm that users can access exactly the data and functions they're authorized to access, and nothing more. This includes testing privilege escalation scenarios, cross-patient data access attempts, and administrative function access by non-privileged users.
Audit trail verification
Confirming that your system logs every PHI access, modification, disclosure, and transmission event with the required fields, user identity, timestamp, action type, and affected record, and that those logs cannot be tampered with or deleted by application-level users.
Secure test data handling
All testing in environments that handle PHI is conducted under BAA-covered processes, using synthetic data sets or properly de-identified records that eliminate real patient data from the test environment.
QA documentation for compliance audits
Generating and maintaining the test execution records, traceability matrices, defect histories, and risk assessments that compliance reviewers and auditors expect to see, in formats they can actually use.
HL7 and FHIR validation against compliance profiles
Confirming that your data exchange implementations conform not just to the base HL7 and FHIR specifications, but to the implementation guide profiles, US Core, Da Vinci, Argonaut, that carry compliance and interoperability certification implications.
Healthcare Test Automation Without Compromising Compliance
Test automation in healthcare requires a different philosophy than automation in other software domains. The goal is not to automate everything; it is to automate the right things, at the right layer of the stack, in a way that accelerates releases without creating blind spots in clinical and compliance coverage.
The trap that many healthcare teams fall into is building large automated UI test suites that run slowly, break constantly, and provide false confidence, because they validate that buttons work, not that the underlying clinical logic is correct. ThinkSys builds automation strategies grounded in the QA automation pyramid: maximum coverage at the API and unit layer, targeted automation at the UI layer for stable, high-value regression paths, and deliberate preservation of manual testing for everything that requires clinical or compliance judgment.
What we automate in healthcare QA
- Regression suites for stable clinical workflows: Login, patient search, appointment scheduling, standard charting flows, and other workflows that change infrequently and carry high regression risk.
- API and integration regression: Every API endpoint and every HL7/FHIR message exchange runs against a contract test suite that detects breaking changes before they reach production.
- Healthcare integration regression: Automated validation of message routing, field mapping, and data transformation across integration interfaces, the layer most likely to break silently with each release.
- Billing and claims workflow automation: Claims generation, submission, status retrieval, and remittance processing, high-volume, rules-driven workflows that are well-suited to automation.
- CI/CD pipeline integration: Automated test execution triggered on every pull request and deployment, with results fed directly into your development workflow and go/no-go gates for each environment promotion.
What we deliberately do not over-automate
- Exploratory testing of clinical workflows: New features, complex edge cases, and clinical decision logic require domain-aware human testers who can recognize when behavior is technically correct but clinically wrong.
- Usability and patient experience testing: No automation framework can replicate the judgment of a real user trying to navigate a patient portal under stress or a provider working a clinical dashboard at the end of a 12-hour shift.
- Unstable or rapidly changing features: Automating against a moving target creates more maintenance burden than value. In fast-moving sprint cycles, manual testing on in-development features is faster and more reliable.
- Compliance judgment calls: Determining whether a given system behavior constitutes a HIPAA violation or an audit trail gap requires human reasoning about regulatory intent, not a script that checks whether a log field is populated.
Healthcare QA Results: Case Studies
Reducing Pre-Launch Critical Defects by 67%
A Series B telehealth company was preparing for a national commercial launch after an 18-month build. Their internal QA team had covered functional testing thoroughly, but they had no HL7 integration testing capability, no HIPAA security testing in place, and had never run a performance test. A contracted enterprise health system customer had requested evidence of HIPAA compliance testing before go-live.
Flexible Healthcare QA Engagement Models
ThinkSys structures every healthcare QA engagement around your delivery model, your team's needs, and your release cadence. We don't offer a one-size-fits-all service; we offer four engagement structures that cover the full spectrum of how healthcare companies work with QA partners.
Dedicated Healthcare QA Team
A full-time team of healthcare QA engineers embedded in your development process, attending standups, participating in sprint planning, and operating as an extension of your internal engineering organization. This model is best suited for healthcare companies with an ongoing product roadmap, frequent release cycles, and a need for deep institutional knowledge of their platform over time. The dedicated team grows familiar with your architecture, your compliance posture, and your integration landscape, and their effectiveness compounds with each sprint.
Best For
Growing healthcare SaaS companies, EHR vendors, and digital health platforms with continuous development activity.
Project-Based Testing Engagement
A scoped, time-bound engagement tied to a specific release, integration, or compliance milestone. We scope the coverage, assemble the right team, execute the testing, and deliver the documentation, then close the engagement cleanly. This model works well for companies that have strong internal QA capacity but need specialized healthcare expertise for a specific challenge: an Epic integration go-live, a HIPAA Security Rule assessment ahead of an enterprise customer audit, or a performance testing engagement ahead of a significant user base expansion.
Best For
Established healthcare companies with internal QA teams, or companies with specific, bounded testing needs.
Managed Testing Services
ThinkSys owns the entire QA function, strategy, execution, tooling, reporting, and continuous improvement, while your engineering team focuses on building. We maintain the test suite, manage the automation framework, track compliance coverage metrics, and deliver release readiness assessments on your cadence. This model provides the highest level of QA maturity without requiring your organization to build and manage a QA practice internally.
Best For
Healthcare startups and scale-ups that want enterprise-grade QA without the overhead of building an in-house practice.
QA Augmentation
Individual engineers or small pods placed within your existing QA team to fill specific skill gaps, a FHIR integration testing specialist, a healthcare security testing engineer, and a test automation architect who knows your stack. Augmentation is the lowest-friction way to add specialized healthcare QA capability without restructuring your existing team.
Best For
Companies with strong QA teams that need domain-specific expertise they don't currently have internally.
Not sure which engagement model fits your team? We'll help you scope the right approach based on your release calendar and compliance needs.
Why Healthcare Companies Outsource Software Testing
Healthcare companies outsource QA because compliance, integrations, and clinical risk require specialized expertise that is difficult and expensive to build in-house. Here is why outsourced healthcare QA consistently outperforms in-house teams that don't specialize in the domain.
Faster Access to Specialized Expertise
Hiring healthcare QA talent with HIPAA, HL7/FHIR, and clinical workflow knowledge is slow and costly.
An outsourced partner brings ready-to-deploy experts from day one, eliminating ramp-up time and accelerating delivery.
Reduced Release Risk Across Every Deployment
Healthcare releases carry hidden compliance and patient-safety risks.
Outsourced QA teams identify issues like PHI exposure, access control gaps, and audit failures before they reach production.
Better Compliance Readiness Without Compliance Overhead
Maintaining HIPAA compliance internally requires dedicated resources and continuous monitoring.
Outsourced QA embeds compliance validation, traceability, and audit readiness directly into the testing process.
Scalable QA Teams That Match Your Release Cadence
Healthcare software release calendars are not uniform: there are high-intensity periods before major customer go-lives, regulatory deadline sprints, and post-acquisition integration projects that require QA capacity that far exceeds the baseline. An outsourced QA partner scales with those demands without the hiring, onboarding, and offboarding cycles that make internal scaling painful. You add QA capacity when you need it and reduce it when you don't.
Lower Operational Cost With Higher Output Quality
In-house QA involves salaries, tools, training, and turnover.
Outsourced QA delivers lower cost per defect and higher quality output by focusing expertise on high-risk areas.
Healthcare Testing Use Cases
Telehealth Platform Testing
Telehealth platforms carry some of the highest clinical and technical risks in healthcare software, real-time video infrastructure, concurrent multi-party sessions, scheduling logic that affects patient access to care, and EHR integrations that need to work correctly under time pressure during a live clinical visit.
What we test:
- Video and audio session quality under variable network conditions, including degradation behavior and reconnection logic.
- Waiting room workflows, patient intake, consent collection, and queue management.
- Session security, confirming that a patient cannot access another patient's session and that session recordings are stored with appropriate access controls.
- Provider scheduling integration, validating that appointment data flows correctly between the telehealth platform and the underlying EHR or scheduling system.
- Post-visit documentation workflows, ensuring that visit notes, orders, and follow-up tasks are correctly written back to the EHR after a virtual encounter.
- Mobile app performance for patient and provider interfaces on iOS and Android under cellular and Wi-Fi connectivity.
Healthcare Software Testing vs. Generic QA: A Direct Comparison
When evaluating whether to use a specialized healthcare QA partner or extend your existing generic QA practice to cover healthcare software, the differences are not subtle.
| Factor | Healthcare-Specialized QA | Generic QA |
|---|---|---|
| Compliance knowledge | Built-in HIPAA, HITECH, HL7, FHIR, and FDA fluency; traceability documentation as standard output. | Compliance addressed reactively, if at all; documentation created separately from testing. |
| PHI data sensitivity | PHI-specific test data management, BAA-covered processes, and PHI exposure scanning in all outputs. | Standard test data practices; PHI risk not specifically addressed. |
| Integration complexity | Native HL7 v2/v3 and FHIR R4 testing capability; EHR-specific integration experience with Epic, Cerner, and others. | Integration testing capability, but no healthcare protocol expertise. |
| Risk classification | Defects classified by clinical and compliance impact, not just severity. | Defects classified by functional severity only. |
| Automation approach | Automation strategy calibrated to healthcare risk profile; deliberate preservation of manual testing for clinical and compliance areas. | Automation maximized regardless of domain-specific risk. |
| Audit documentation | Test execution records, traceability matrices, and risk registers are produced as standard deliverables. | Test reports produced; audit-ready documentation requires additional effort. |
| Security testing | PHI-specific security testing: role-based access, audit trail, encryption at rest and in transit. | General security testing: OWASP Top 10, authentication, and common vulnerabilities. |
| Domain expertise | Engineers with clinical workflow knowledge, healthcare IT background, and regulatory training. | Strong engineering skills; healthcare domain knowledge not guaranteed. |
| Release risk posture | Release readiness assessed against compliance coverage and clinical risk, not just defect count. | Release readiness is assessed against functional completeness and defect count. |
| Regulatory change tracking | Team monitors HIPAA enforcement trends, CMS rule updates, and ONC interoperability mandates. | Regulatory updates addressed by the client compliance team, not the QA partner. |
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Frequently Asked Questions
Healthcare software testing ensures medical applications are secure, compliant, and clinically accurate, while protecting PHI and validating integrations like HL7 and FHIR.
It involves higher risk (patient safety), strict compliance (HIPAA/FDA), complex integrations (EHR/HL7/FHIR), and audit-ready documentation, not just functional testing.
HIPAA, HITECH, HL7, FHIR, ONC rules, FDA 21 CFR Part 11, and WCAG along with implementation guides like US Core and Da Vinci.
Yes. We validate HL7 messages, FHIR APIs, SMART on FHIR flows, and integrations with EHRs like Epic and Cerner.
Yes. We test video sessions, scheduling, EHR integrations, security, and performance under concurrent load.
Yes. We automate regression, API, and integration testing, while keeping manual testing for clinical and compliance-critical scenarios.
2-3 weeks for focused assessments 4-8 weeks for full testing cycles Ongoing for dedicated QA teams
Yes. We provide embedded healthcare QA teams that integrate with your sprints and scale with your roadmap.
We use synthetic or de-identified data, follow BAA-compliant processes, and ensure zero real PHI exposure.
Yes. We perform gap assessments, compliance testing, and audit-ready documentation, helping you pass reviews faster.
BAA is required for PHI handling (HIPAA compliance). NDA covers confidentiality only.
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