Research Studies | Infermedica

Peer-reviewed publications

Peer-reviewed research is essential for improving the quality, accuracy, and safety of healthcare technology. Here we present research papers that showcase the value and impact of Infermedica’s AI-powered solutions for healthcare professionals and decision-makers.

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Research Studies

Increased utilization of telemedical emergency and non-urgent care following deployment of virtual triage and care referral in Australia

Gellert et al. (2025)

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Right care, right place, first time: How AI is improving national virtual front doors

Bettina McMahon, M.B.A. and Daniel McInerney, M.Tax. (2025)

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Impact of virtual triage and care referral on patient care seeking intent and clinical acuity alignment in an Australian health plan: A cross-sectional study

Gellert et al. (2025)

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Using AI-based virtual triage to improve acuity-level alignment of patient care seeking in an ambulatory care setting

Infermedica, Reliant Medical Group, OptumHealth (2024)

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Impact of integrated virtual and live nurse triage on patient care seeking and health care delivery effectiveness and efficiency

Infermedica, Médis (Grupo Ageas Portugal), (2024)

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Impact of AI-supported triage systems on emergency department management: A comparison of Infermedica, Emergency Severity Index, and Manchester Triage System

Boğa, Erkan (2026)

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The potential of virtual triage AI to improve early detection, care acuity alignment, and emergent care referral of life-threatening conditions

Gellert et al. (2024)

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A multinational survey of patient utilization of and value conveyed through virtual symptom triage and healthcare referral

Gellert et al. (2023)

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Proven across borders: How AI triage transformed patient behavior in a diverse Middle Eastern health plan

Gellert et al. (2025)

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A comparative performance analysis of live clinical triage using rules-based triage protocols versus artificial intelligence-based automated virtual triage

Gellert et al. (2023)

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Preserving clinical judgment in the age of generative AI

Irving Kent Loh, Piotr Orzechowski (2026)

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Virtual triage reporting of mental health symptoms in Europe prior to and following the 2022 Russian invasion of Ukraine

Gellert et al. (2025)

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AI-based virtual triage and telemedical health care for Ukrainian war refugees and displaced persons

Gellert et al. (2025)

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How virtual triage can improve patient experience and satisfaction: a narrative review and look forward

Gellert et al. (2023)

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The role of virtual triage in improving clinician experience and satisfaction: a narrative review

Gellert et al. (2023)

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An analysis of virtual triage utilization by pregnant women prior to and during the COVID-19 pandemic

Jaszczak et al. (2024)

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The quality of diagnosis and triage advice provided by free online symptom checkers and apps in Australia

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Assessing the safety of a new clinical decision support system (CDSS) for a national helpline

Nirvana LUCKRAJ, Renee STRAZZARI, Enrico COIERA and Farah MAGRABI (2025)

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Mental health symptom reporting to a virtual triage engine prior to and during the COVID-19 pandemic

Gellert et al. (2024)

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Diagnostic accuracy of web-based COVID-19 symptom checkers: comparison study

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Virtual care to increase military medical centre capacity in the primary health care setting: a prospective self-controlled pilot study of symptoms collection and telemedicine

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