Case Study
End-to-End Testing for a Healthcare Appointment System
Problem Statement
A healthcare provider launched a digital appointment booking system to improve patient experience and reduce administrative burden. However, the platform faced frequent booking errors, appointment overlaps, and inconsistent data across patient, doctor, and admin dashboards. Manual testing wasn’t sufficient to ensure seamless functionality across all modules, especially under varying real-world scenarios.
Challenge
Multiple User Roles: Patients, doctors, and admin users had different workflows that needed validation.
Third-Party Integrations: System used APIs for SMS/email confirmations, calendar syncing, and payment gateways.
Data Consistency: Ensuring appointment status remained synchronized across dashboards in real time.
Device Compatibility: The platform was accessed via desktop, tablet, and mobile—requiring responsive testing.
Solution Provided
Key features of the solution:
Full Workflow Coverage: Tests covered login, profile management, doctor availability, slot booking, payment, and confirmation.
Mocking & Integration Tests: Used mocks for third-party APIs during early-stage testing; followed by full integration validations.
Role-Based Testing: Developed test scenarios for each user type (Patient, Doctor, Admin).
Cross-Device Testing: Automated tests ran on different screen sizes to validate responsiveness.
Development Steps
Data Collection
Collected workflows and test cases from stakeholders including developers, QA, and support teams.
Preprocessing
Defined critical user flows, edge cases, and failure conditions.
Environment Setup
Configured staging environment with test accounts for all user roles.
API Testing
Validated appointment status and data consistency using Postman and API test scripts.
Validation
Conducted regression testing, stress scenarios, and simulated real-time edge cases (e.g., double bookings).
Deployment
Final test suites were added to the CI/CD pipeline via GitHub Actions.
Results
Error Reduction by 70%
Booking and synchronization issues dropped significantly post-deployment.
Test Coverage Increased to 95%
All critical workflows and third-party integrations were validated.
Faster Release Cycle
Automated E2E tests reduced QA time by 60%, enabling quicker feature rollouts.
Improved User Experience
Patients and doctors reported smoother appointment management with fewer conflicts.
Enhanced Stakeholder Confidence
Automation provided real-time visibility into system health before each release.