Infermedica

Infermedica is a clinical AI triage tool, built by clinicians, designed to guide patients to the right healthcare service via chat, voice, or call center. The platform has been deployed in more than 30 countries since 2012 and is described as clinical AI triage trusted by patients.

Purpose and Positioning Infermedica is mainly aimed at organizations that need to guide patients to the appropriate level of care, providing medical-device-grade safety and auditability. Its triage engine can guide patients from symptom description to care recommendations, reportedly in less than three minutes.

Key Capabilities and Use Cases

1. Call center and nurse triage: Provides AI-powered decision support for nurses and call center agents, reducing call handling time, improving triage consistency, and supporting voice or screen operations.
2. Digital front door triage: Triages patients through natural conversation rather than forms and routes them to the appropriate level of care.
3. Pre-visit information collection: Collects structured patient data before consultation, enabling clinicians to start working from the third minute rather than the zeroth minute.
4. Conversational triage: Provides a natural conversation experience with medical-device-grade safety and auditability.
5. Call center voice agent: Handles initial patient interactions, collects symptoms, assesses urgency, and prepares structured handoffs, allowing nurses to focus on clinical judgment rather than data collection.

Target Users

• Public health/government: Provides certified, auditable AI triage for national digital front doors, used by ministries of health and national health systems in more than 30 countries, from Australia to the NHS.
• Health plans/insurers: Reduces unnecessary care escalations, lowers the cost per triage, provides members with 24/7 clinically governed guidance, and offers full auditability and regulatory compliance.
• Healthcare providers: Streamlines information collection, supports nurse triage decisions, and shortens time to care, suitable for call centers, emergency departments, or digital front doors.
• Telemedicine companies: Adds certified pre-visit triage and information collection to platforms, allowing providers to spend less time collecting symptoms and more time treating patients.
• Pharmaceutical companies: Reaches patients at the moment symptoms awareness emerges through targeted educational activities within certified triage workflows.

Compliance, Safety, and Data Governance

• Medical device certification: MGP has received Class IIb medical device certification under EU MDR and is registered with the UK MHRA.
• Quality management and information security: Certified under ISO 13485:2016 (medical devices) and ISO 27001:2022 (information security).
• Data protection: GlobalCompliant with GDPR, HIPAA and SOC 2 Type 2®, built around secure data practices.
• Ready for regulated healthcare: designed to meet strict regulatory and data residency requirements. LEI code: 984500NIA7B8AFF75805.

Impact and evidence The materials mention that its virtual triage deployment can achieve a cost-saving ratio of up to 1:10. A national evaluation covering 15.5 million encounters found that Infermedica improved care urgency matching, reduced emergency department visits and drove adoption of alternative care pathways. In peer-reviewed evaluations, Infermedica performed as safely as the Schmitt-Thompson telephone triage protocols while collecting richer initial patient data. In millions of triage interviews, about 2 in every 1000 led to potentially life-saving care escalation. In addition, Infermedica's tools increased self-assessment adoption and completion rates among Australia's 26 million citizens and had a positive impact on overall health system efficiency.

Limitations and missing information The materials do not provide specific pricing, free trials, deployment timelines, technical integration details, the specific number of languages covered, the list of supported platforms, or the specific resources required for implementation. Some statistics (such as the number of health checks, medical review hours, years of AI experience, number of global customers, number of countries, and number of languages) only have headings and no specific values are given.