Clinics & Healthcare

Artificial Intelligence for Clinics & Health

Streamline appointment scheduling, reduce patient no-shows, and automate administrative tasks without ever compromising medical rigor and clinical empathy.

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Before

  • ✕Overwhelmed reception with calls
  • ✕High rate of no-show appointments
  • ✕Repetitive manual data entry
  • ✕Difficulty in initial screening

With Mobizze

  • ✓24/7 intelligent scheduling
  • ✓Interactive WhatsApp reminders
  • ✓Automation of administrative data
  • ✓Risk-based routing and screening

Frequent Problems Solved

No-Show Management

Patients who don't show up cause schedule gaps and enormous financial losses.

Administrative Overload

Doctors and nurses waste hours writing clinical notes and filling out insurance forms.

Phone Wait Lines

Frustrated patients unable to reach reception for simple tasks like rescheduling.

How It Works in Practice: Workflow Example: Automated Schedule Management

1

Patient Request

A patient calls or texts asking for an ophthalmology appointment at 8 PM on a Sunday.

2

Conversational Agent

The AI checks availability in the clinic's software in real time and offers three alternatives.

3

Booking & Registration

The patient chooses. The AI logs it in the medical schedule and sends exam prep instructions.

4

Smart Reminder

48 hours prior, the AI confirms attendance. If canceled, the system immediately notifies waitlisted patients.

Software & Integrations

Clinical SoftwareMicrosoft BookingsZendeskWhatsApp Business APITwilio

Required Data

  • Medical schedule and shifts
  • Price list and specialties
  • Accepted insurances and agreements
  • FAQs (exam preparation)

Solution Limitations

The solution is configured with mechanisms designed to prevent autonomous medical diagnoses, prescriptions, or recommendations. It functions purely for administrative assistance and routing.

When the solution involves health data, the framework is defined with the clinic according to the purpose, applicable legal basis, data minimization, retention periods, and the responsibilities of the involved entities. Whenever necessary, the project is subject to a Data Protection Impact Assessment prior to implementation.

Human Validation

When previously defined expressions are detected by the clinic, the system attempts to route the interaction to the responsible team and presents the configured emergency instructions. The system does not perform clinical triage nor determine the severity of the situation. It only identifies expressions previously defined by the clinic and routes the interaction according to established protocols.

Implementation Estimate

3 to 4 weeks for assistant configuration and clinical software API integration.

Security & Compliance

Solutions designed to support GDPR and HIPAA compliance, depending on the architecture, providers, and data processing defined in each project.
Access auditing and encryption in transit and at rest, with mechanisms defined by the architecture of each project.
Blocking mechanisms to mitigate the risk of unauthorized autonomous medical diagnoses and recommendations.
Configurable infrastructure (including European-based options) depending on each project's requirements.
Case Study

Attendance Optimization and Confirmations

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By implementing AI-powered WhatsApp confirmation systems, patients can reschedule appointments by chatting naturally with the assistant. This helps fill last-minute slots and contributes to a sustained reduction in absences (no-shows).

Sector FAQs

What if the person says it's a medical emergency? +
When previously defined expressions are detected by the clinic, the system attempts to route the interaction to the responsible team and presents the configured emergency instructions, alerting the patient to seek official emergency services.
Can the AI understand elderly people on the phone? +
Our Voice Agents handle interruptions, background noise, and speak in a slow, empathetic manner, making them ideal for less digitized audiences.
Does the AI have access to clinical history? +
It can be configured solely for scheduling tasks (no health data access) or, if integrated, with full encryption and access strictly limited to what's necessary.

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