AI English Assessment for
Healthcare Professionals

Fast, accurate 15-minute
Speaking Test to hire, train, and upskill patient-ready healthcare teams

AI-powered platform for accurate, detailed assessment of English communication skills.
Make data-driven decisions when hiring new healthcare staff, promoting top performers, and training your medical and patient-care teams.

Go beyond standard English tests – measure real communication skills

Choose to test English speaking skills or writing skills, or both, or design a custom branded test. Send test invitations directly from SmallTalk2Me or through your ATS.

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Invite candidates or employees

Simple steps to set up SmallTalk2Me’s AI English Assessment

How does it work?

Healthcare professionals can take the English assessment anytime, anywhere – using their computer or mobile device to record responses.

15-minute online speaking test

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As soon as the test is complete, you receive a CEFR level and a detailed language proficiency profile. Identify the best candidates for patient-facing roles or uncover training needs within your healthcare teams to ensure clear, accurate, and compassionate communication across all clinical interactions.

Get the results

Our web-cloud platform makes it easy for you to request tests and view results. Alternatively, you can integrate SmallTalk2Me with your own system using our API.

Automate your workflow

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Why SmallTalk2Me is the right English assessment for your team

CEFR Scoring
Detailed Report
Cloud Platform
Expires in 7 Days
CEFR Scoring
Detailed Report
Cloud Platform
Support
Expires in 1 Month
CEFR Scoring
Detailed Report
Cloud Platform
API Integration
Support
Tests Customization
Results Export
Performance Tracking
Tests Valid for Contract Term

Assess English for Healthcare & Medical Roles

Enterprise
Pay-as-you-go
Special Price
$10 per test
$0
Scalable solution for teams & high volume
No commitment, pay only when you need
Try it out risk-free
Trial

Quickly measure applicants’ speaking, listening, pronunciation, and fluency skills with an AI-powered English test designed for patient-facing healthcare teams

Who is SmallTalk2Me English assessment for?

Recruiters & HRs
Training & L&D Managers
Operations & Quality Leaders
Stop spending time interviewing candidates who lack essential communication skills.
With our AI-powered English test for healthcare professionals, recruiters can quickly identify doctors, nurses, and support staff with the right speaking, listening, and fluency skills for patient-facing roles.
Place your healthcare staff in the right training programs from the start.
SmallTalk2Me helps hospitals, clinics, and medical training institutions evaluate English proficiency and design targeted learning paths that strengthen communication, teamwork, and bedside interaction skills.
Ensure your teams deliver clear, compassionate communication every day.
Leverage SmallTalk2Me to maintain high standards of patient care and professional collaboration. CEFR-aligned reports provide actionable insights to monitor performance, track improvement, and make informed promotion or retention decisions.
Managing Director &
Stanford University Lecturer

"SmallTalk2Me is an innovative company that uses cutting-edge AI to deliver high-quality English assessment solutions for the healthcare industry. The platform helps hospitals, clinics, and medical training organizations quickly identify patient-ready professionals among non-native English speakers."

Ravi Belani

Ready to streamline English assessment for your doctors, nurses, and patient-care staff?

FAQ
Our AI-powered English assessment evaluates candidates’ CEFR level with 95% accuracy – significantly higher than traditional human raters (80–85%).
The system provides results in half-level increments (A2, A2+, B1, B1+, B2, B2+, C1, C1+), ensuring precise measurement of English speaking, listening, and fluency skills for healthcare professionals, medical staff, and patient-facing teams across hospitals, clinics, and global healthcare organizations.

Request a demo and see SmallTalk2Me in action

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