Clinic Appointment Booking System
Manual and Automation QA Engineer
Comprehensive clinic management platform enabling patients to book appointments online, manage doctor schedules, and receive automated email/SMS confirmations and reminders.
Tools & Technologies
Testing Tools
Technologies
Problem Statement
Healthcare clinics struggled with manual appointment scheduling leading to double bookings, missed appointments, and staff spending hours on phone calls. Patients had no way to book online, and reminder systems were inconsistent, resulting in high no-show rates and lost revenue.
Approach
Designed and executed comprehensive test suites for appointment booking workflows, doctor schedule management, patient registration, and notification systems. Validated calendar conflict detection, time slot availability, multi-location scheduling, and automated reminder delivery via email and SMS.
Testing & Automation Strategy
Collaborated with developers to test booking logic, cancellation policies, and rescheduling workflows. Performed API testing for calendar integrations, SMS/email gateway connectivity, and patient data validation. Conducted load testing to ensure system stability during peak booking hours.
CI/CD Integration
Integrated automated tests with Jenkins for continuous validation of booking flows, notification delivery, and schedule management. Set up monitoring for appointment confirmation rates, SMS delivery success, and system response times during high-traffic periods.
Before vs After Comparisons
Manual vs Online Appointment Booking
Receptionists manually handling appointment calls, checking paper schedules, and writing down patient information.
Patients self-schedule appointments online with real-time availability, automatic conflict prevention, and instant confirmation.
Key Improvements
Booking Time
80%Availability
200%Double Bookings
100%Staff Hours/Day
87%Appointment No-Show Reduction
Patients often forget appointments with no systematic reminder system, leading to high no-show rates and lost revenue.
Multi-channel automated reminders via SMS and email at 48-hour, 24-hour, and 2-hour intervals with easy reschedule options.
Key Improvements
No-Show Rate
71%Reminder Method
400%Revenue Lost/Month
72%Same-Day Cancellations
73%Doctor Schedule Management
Doctors managing schedules on paper or basic calendars with no real-time sync across staff or locations.
Centralized digital calendar with real-time availability, multi-location support, and instant schedule modifications.
Key Improvements
Schedule Updates
400%Multi-Location View
Time Block Changes
98%Overbooking Risk
100%Patient Communication Efficiency
Staff manually calling patients for confirmations, reminders, and follow-ups, consuming significant time.
Automated SMS/email for confirmations, reminders, and follow-ups with two-way response capability.
Key Improvements
Confirmation Calls/Day
90%Time per Call
100%Reach Rate
118%Staff Cost/Month
95%Clinic Operational Efficiency
Manual scheduling, paper records, and reactive patient management leading to inefficiencies.
Streamlined digital scheduling maximizing appointment slots and minimizing administrative overhead.
Key Improvements
Patients/Day
45%Schedule Utilization
42%Admin Time/Patient
75%Monthly Revenue Loss
79%Manual vs Online Appointment Booking - Key Improvements
Appointment No-Show Reduction - Key Improvements
Doctor Schedule Management - Key Improvements
Patient Communication Efficiency - Key Improvements
Clinic Operational Efficiency - Key Improvements
Code Examples
Appointment Booking Flow Test
Automated test for validating end-to-end appointment booking workflow.
@Test
public void testAppointmentBookingFlow() {
// Login as patient
LoginPage loginPage = new LoginPage(driver);
loginPage.login("patient@email.com", "password");
// Navigate to booking page
BookingPage bookingPage = new BookingPage(driver);
bookingPage.selectDoctor("Dr. Smith");
bookingPage.selectDate(LocalDate.now().plusDays(3));
bookingPage.selectTimeSlot("10:00 AM");
// Fill patient details
bookingPage.enterReason("Annual checkup");
bookingPage.confirmBooking();
// Verify confirmation
Assert.assertTrue(bookingPage.isBookingConfirmed());
Assert.assertNotNull(bookingPage.getConfirmationNumber());
// Verify no double booking possible
bookingPage.selectDoctor("Dr. Smith");
bookingPage.selectDate(LocalDate.now().plusDays(3));
Assert.assertFalse(bookingPage.isTimeSlotAvailable("10:00 AM"));
} SMS Notification Delivery Test
API test for validating SMS confirmation and reminder delivery via Twilio.
@Test
public void testSmsReminderDelivery() {
String appointmentId = createTestAppointment();
String patientPhone = "+1234567890";
// Trigger reminder job
Response response = given()
.header("Authorization", "Bearer " + API_TOKEN)
.header("Content-Type", "application/json")
.when()
.post("/api/v1/appointments/" + appointmentId + "/send-reminder")
.then()
.statusCode(200)
.body("sms_sent", equalTo(true))
.body("message_sid", notNullValue())
.extract().response();
// Verify via Twilio API
String messageSid = response.jsonPath().getString("message_sid");
given()
.auth().basic(TWILIO_SID, TWILIO_TOKEN)
.when()
.get("https://api.twilio.com/2010-04-01/Accounts/" + TWILIO_SID + "/Messages/" + messageSid + ".json")
.then()
.statusCode(200)
.body("status", anyOf(equalTo("delivered"), equalTo("sent")))
.body("to", equalTo(patientPhone));
} Doctor Schedule Conflict Test
Test for validating schedule conflict detection and prevention.
@pytest.mark.asyncio
async def test_schedule_conflict_prevention():
"""Test that double bookings are prevented."""
doctor_id = "doc_123"
date = "2025-03-15"
time_slot = "10:00"
# First booking should succeed
response1 = await client.post(
"/api/v1/appointments",
json={
"doctor_id": doctor_id,
"patient_id": "patient_001",
"date": date,
"time": time_slot,
"reason": "Checkup"
},
headers={"Authorization": f"Bearer {API_TOKEN}"}
)
assert response1.status_code == 201
assert response1.json()["status"] == "confirmed"
# Second booking same slot should fail
response2 = await client.post(
"/api/v1/appointments",
json={
"doctor_id": doctor_id,
"patient_id": "patient_002",
"date": date,
"time": time_slot,
"reason": "Consultation"
},
headers={"Authorization": f"Bearer {API_TOKEN}"}
)
assert response2.status_code == 409
assert "slot not available" in response2.json()["error"].lower() Results & Impact
Achieved 99.5% booking accuracy with zero double-booking incidents. Validated SMS/email delivery rate at 98.7% for confirmations and reminders. Reduced no-show rate by 45% through automated reminder system. Successfully tested multi-clinic scheduling with real-time availability sync.
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