Next-Gen Automation for Digital Health Transformation
Deliver secure, compliant, and patient-centric applications with scalable automation strategies.
Healthcare Demands Precision and Compliance — Every Time
Strict regulatory requirements (HIPAA, HL7, FDA, GDPR)
Solution: We developed a compliance-centric automation framework that verifies healthcare standards like HIPAA and HL7 during every deployment. It includes automated checks for data privacy, audit logging, and consent workflows—reducing regulatory defects by over 65%.
Integration with EHR/EMR and third-party systems
Solution: Our team implemented API contract testing and end-to-end integration validation for EHR platforms like Epic and Cerner. We identified 40+ recurring data sync issues early in QA, enabling seamless interoperability across clinical and administrative systems.
High risk of patient safety from software failures
Solution: We established critical-path automation for clinical decision modules, ensuring patient-related calculations and lab result displays were rigorously validated. This reduced severity 1 bugs by 80% in production.
Complex data validation across systems
Solution: We created an automated data reconciliation engine that compares records between EHR, billing, and reporting systems in real time. This solution caught 95% of transactional mismatches during testing, ensuring clinical and financial accuracy.
Rapid release cycles for mobile and telehealth apps
Solution: By integrating mobile test automation with our CI/CD pipeline, we enabled nightly testing across Android, iOS, and web portals. Test coverage improved by 60% and feedback loops shortened from 3 days to under 6 hours.
Device and platform fragmentation results
Solution: We leveraged cross-device automation using Appium and BrowserStack to validate functionality on over 30 real device configurations. UI defects dropped by 70% across top-used Android and iOS versions.
Robust Testing Solutions Across the Healthcare Ecosystem
- EHR/EMR Systems
- Patient Portals and Mobile Apps
- Telemedicine Platforms
- Hospital Management Systems
- Lab Information Systems (LIS)
- Medical Billing & Claims Processing
- IoT & Medical Device Integrations
Tailored Test Automation for Critical Healthcare Workflows
1.
Regulatory Compliance
& Audits
Focus Areas: Testing to meet strict standards such as HIPAA, HL7, GDPR, and FDA 21 CFR Part 11.
Impact: Ensures data security, patient privacy, and audit readiness across digital health platforms.
2.
Interoperability Between
Systems
Systems Involved: EHRs/EMRs (Epic, Cerner), Lab Information Systems, and external APIs.
Focus Areas: HL7/FHIR message validation, API testing, and end-to-end integration across platforms.
3.
Patient Data Sensitivity
& Security
Focus Areas:Test data masking, encryption verification, and penetration testing.
Goal: Prevent breaches, maintain confidentiality, and comply with data privacy laws.
4.
High Availability &
Performance
Focus Areas: Load testing of patient portals, telehealth platforms, and mobile apps.
Tools Used: JMeter, BlazeMeter, LoadRunner.
Outcome: Ensure system uptime and responsiveness during peak usage.
5.
Frequent
Updates
Use Case:Agile development in health tech startups and SaaS products.
Focus Areas: Regression test automation, CI/CD pipeline integration, and risk-based testing.
6.
Test Data
Management
Focus Areas:Automated synthetic data generation, anonymization, and validation.
Goal: Simulate real-world healthcare workflows without exposing PHI.
Modern Tools for Modern Financial Systems
Drive Quality Care Through Test Automation
Specialized Solutions
Frequently Asked Qestions
Healthcare software testing is the process of verifying and validating healthcare applications to ensure they meet functional, performance, and regulatory requirements. It includes manual and automated testing methods to ensure the software is secure, reliable, and compliant with standards like HIPAA, HL7, and FDA.
Because healthcare software deals with sensitive patient data and life-critical decisions, testing is essential to prevent system failures, ensure data integrity, and comply with legal and regulatory standards. It helps deliver safe, accurate, and high-performing digital health solutions.
Functional Testing: Ensures core features work as expected
Non-Functional Testing: Covers performance, usability, and security
Compliance Testing: Verifies adherence to regulations (HIPAA, GDPR, etc.)
End-to-End Testing: Validates entire workflows from patient registration to discharge
Automation Testing: Speeds up regression testing and improves test coverage
Healthcare software must meet standards such as:
HIPAA (Health Insurance Portability and Accountability Act)
HL7 / FHIR (Healthcare data exchange protocols)
FDA 21 CFR Part 11 (Electronic records and signatures)
GDPR (For apps handling EU citizen data)
Yes. Automation is widely used for regression testing, performance testing, and API testing. It speeds up delivery cycles while maintaining high-quality standards, especially in Agile and DevOps environments.
Test data is anonymized, encrypted, or synthetically generated to avoid exposure of real patient data. Testing teams also follow secure test data management practices to remain compliant with data privacy laws.
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Unlock the power of intelligent automation with Qeagle. Whether you’re looking to optimize regression cycles, integrate seamlessly with CI/CD pipelines, or reduce manual effort
Case Studies
Enhancing Telehealth Platform Stability
A telehealth platform faced frequent regressions during updates. We built…
Regulatory Compliance for HIPAA
To ensure HIPAA compliance during a major EHR (Electronic Health…
Streamlining Patient Portal Functionality
A leading healthcare provider collaborated with us to automate testing…