AI Agent

Programador de admisión de pacientes Agente AI

Fill appointment slots without phone tag and manual paperwork

3 calls to schedule 1 appointment. Or: instant booking with automated intake and insurance verification. Your choice.

Benefits

Fill Your Schedule Without the Phone Calls

Phone scheduling wastes staff time with endless voicemail tag. Manual intake paperwork delays appointments and frustrates patients. No-shows cost $200+ per slot. This agent automates the entire patient journey.

60%

No-show reduction

24/7

Booking availability

80%

Staff time saved

Agentic Flows

Complete Patient Journey Automation

Automated workflow: appointment booking with provider matching, digital intake form collection, insurance verification with real-time eligibility, appointment reminders via SMS and email, check-in and waitlist management.

How it works

Intelligent Scheduling and Intake Automation

The agent books appointments via chat, SMS, or web 24/7 with real-time availability, collects intake forms and medical history digitally, verifies insurance eligibility with payers automatically, sends reminders to reduce no-shows.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Integrations

Works with Healthcare Systems

Direct integration with Epic, Cerner, athenahealth, Kareo, and DrChrono EHR scheduling. Real-time eligibility checks via Availity, Change Healthcare. Two-way SMS via Twilio. Online forms via HIPAA-compliant portals.

Implementation

Booking Patients in 1 Week

Integrate with your EHR scheduling system and configure provider availability. Setup intake forms and insurance verification. Most practices book automated appointments within 7 days.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Patient Access Automation

24/7 Self-Scheduling

Patients book appointments anytime via chat, SMS, or web. Real-time availability prevents conflicts.

Digital Intake

Collects medical history, insurance, and consent forms before visits. Reduces waiting room time.

Auto Insurance Verification

Verifies eligibility with payers in real time. Collects copays and prevents claim denials early.

Demo

See Patient Scheduling in Action

Watch a new patient book an appointment via SMS, complete intake forms digitally, get insurance verified, receive appointment reminders, and check in—all without staff intervention.