UI Automation

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.

SaaS
Healthcare
June 2024 - February 2025

Tools & Technologies

Testing Tools

Selenium WebDriverPostmanJIRATestNGJenkinsTwilio APIAppium

Technologies

PythonNode.jsAgileREST APIsMySQLRedisSendGridTwilio SMS

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

Phone-Based Scheduling

Receptionists manually handling appointment calls, checking paper schedules, and writing down patient information.

Online Booking System

Patients self-schedule appointments online with real-time availability, automatic conflict prevention, and instant confirmation.

Key Improvements

Booking Time

80%
Phone-Based Scheduling
8-12 minutes
Online Booking System
<2 minutes

Availability

200%
Phone-Based Scheduling
Office hours
Online Booking System
24/7

Double Bookings

100%
Phone-Based Scheduling
5-8/week
Online Booking System
0

Staff Hours/Day

87%
Phone-Based Scheduling
4 hours
Online Booking System
30 minutes

Appointment No-Show Reduction

No Reminders

Patients often forget appointments with no systematic reminder system, leading to high no-show rates and lost revenue.

Automated Reminders

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%
No Reminders
25-30%
Automated Reminders
8%

Reminder Method

400%
No Reminders
Manual calls
Automated Reminders
Auto SMS/Email

Revenue Lost/Month

72%
No Reminders
$8,500
Automated Reminders
$2,400

Same-Day Cancellations

73%
No Reminders
15%
Automated Reminders
4%

Doctor Schedule Management

Paper Calendars

Doctors managing schedules on paper or basic calendars with no real-time sync across staff or locations.

Digital Calendar System

Centralized digital calendar with real-time availability, multi-location support, and instant schedule modifications.

Key Improvements

Schedule Updates

400%
Paper Calendars
Manual sync
Digital Calendar System
Real-time

Multi-Location View

Paper Calendars
None
Digital Calendar System
Unified

Time Block Changes

98%
Paper Calendars
30 min process
Digital Calendar System
Instant

Overbooking Risk

100%
Paper Calendars
High
Digital Calendar System
Zero

Patient Communication Efficiency

Manual Outreach

Staff manually calling patients for confirmations, reminders, and follow-ups, consuming significant time.

Automated Messaging

Automated SMS/email for confirmations, reminders, and follow-ups with two-way response capability.

Key Improvements

Confirmation Calls/Day

90%
Manual Outreach
40-60
Automated Messaging
5 (exceptions)

Time per Call

100%
Manual Outreach
3-5 minutes
Automated Messaging
0 (auto)

Reach Rate

118%
Manual Outreach
45%
Automated Messaging
98%

Staff Cost/Month

95%
Manual Outreach
$2,800
Automated Messaging
$150

Clinic Operational Efficiency

Traditional Operations

Manual scheduling, paper records, and reactive patient management leading to inefficiencies.

Optimized Operations

Streamlined digital scheduling maximizing appointment slots and minimizing administrative overhead.

Key Improvements

Patients/Day

45%
Traditional Operations
25-30
Optimized Operations
38-42

Schedule Utilization

42%
Traditional Operations
65%
Optimized Operations
92%

Admin Time/Patient

75%
Traditional Operations
12 minutes
Optimized Operations
3 minutes

Monthly Revenue Loss

79%
Traditional Operations
$12,000
Optimized Operations
$2,500

Manual vs Online Appointment Booking - Key Improvements

+ 200%
Availability
87%
Staff Hours/Day
+ 80%
Booking Time
Booking time reduced by 80%, from 8-12 minutes to under 2 minutes.
24/7 online booking vs office hours only.
Zero double bookings with automatic conflict detection.
87% reduction in staff time spent on scheduling.
Bottom Line: Achieved up to 200% improvement across key metrics

Appointment No-Show Reduction - Key Improvements

+ 400%
Reminder Method
73%
Same-Day Cancellations
72%
Revenue Lost/Month
No-show rate reduced by 71%, from 27.5% to 8%.
Fully automated reminders replace manual phone calls.
72% reduction in monthly revenue loss from missed appointments.
Same-day cancellations reduced by 73% with advance reminders.
Bottom Line: Achieved up to 400% improvement across key metrics

Doctor Schedule Management - Key Improvements

+ 400%
Schedule Updates
+ 98%
Time Block Changes
Real-time schedule sync across all staff and locations.
Unified view for doctors working at multiple clinics.
Instant time block modifications vs 30-minute manual process.
Zero overbooking risk with automatic conflict prevention.
Bottom Line: Achieved up to 400% improvement across key metrics

Patient Communication Efficiency - Key Improvements

+ 118%
Reach Rate
95%
Staff Cost/Month
90%
Confirmation Calls/Day
90% reduction in confirmation calls with automation.
Zero time spent on routine reminders.
Patient reach rate improved from 45% to 98%.
95% reduction in communication-related staff costs.
Bottom Line: Achieved up to 118% improvement across key metrics

Clinic Operational Efficiency - Key Improvements

79%
Monthly Revenue Loss
+ 75%
Admin Time/Patient
+ 45%
Patients/Day
45% increase in daily patient capacity.
Schedule utilization improved from 65% to 92%.
75% reduction in administrative time per patient.
79% reduction in monthly revenue loss from inefficiencies.
Bottom Line: Achieved up to 79% improvement across key metrics

Code Examples

Appointment Booking Flow Test

Automated test for validating end-to-end appointment booking workflow.

java
@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.

java
@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.

python
@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.

Interested in Similar Solutions?

Let's discuss how I can help implement test automation for your project.

Get in Touch