AI Agent

Agente AI de Atención al Paciente

Answer patient questions 24/7 without overwhelming your staff

200+ calls daily for simple questions. Zero with AI that answers FAQs, schedules follow-ups, and escalates appropriately.

Benefits

Support Patients Without Adding Staff

Patient calls overwhelm front desk staff with simple questions about hours, insurance, and prescriptions. After-hours calls go to voicemail. Wait times frustrate patients and drive negative reviews. This agent answers everything.

70%

Inquiries auto-resolved

24/7

Patient support

90%

Faster response time

Agentic Flows

Complete Patient Support Automation

Automated workflow: inquiry intake via phone, chat, SMS, or email, intent classification and response generation, EHR access for patient-specific answers, appointment booking and prescription requests, clinical escalation routing.

How it works

Intelligent Patient Communication

The agent answers common questions using natural language understanding, accesses patient records for personalized responses, schedules appointments and handles prescription refills, escalates medical questions to clinical staff with context.

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

Connects to Healthcare Systems

Direct integration with Epic, Cerner, athenahealth, and eClinicalWorks EHRs for patient data. Phone system integration via Twilio. Multi-channel support through SMS, chat, email, and patient portals.

Implementation

Supporting Patients in 5 Days

Connect your EHR and phone systems. Configure FAQs and escalation rules. Most practices handle automated patient inquiries within one week of deployment.

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 Communication Tools

Natural Language Support

Understands patient questions in plain language. Handles medical terminology and insurance questions.

EHR-Aware Responses

Accesses patient charts for personalized answers. Knows appointment history and prescriptions.

Clinical Escalation

Routes medical questions to nurses or providers with full conversation context. Safe triage always.

Demo

See Patient Support in Action

Watch the agent handle 50 patient calls: answer office hours, schedule appointments, request prescription refills, explain billing, and escalate 3 medical questions to nurses.