Research Studies
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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Peer Reviewed
Mental Health Symptom Reporting to a Virtual Triage Engine Prior to and During the COVID-19 Pandemic
Gellert et al. (2024)
Highlights
Virtual triage usage surged by 160% from the pre-pandemic to the post-vaccine period, reflecting growing reliance on and demand for digital health tools during disruption to global healthcare services
20% of users reported at least one mental health symptom
Virtual triage is effective in detecting and referring mental health issues, demonstrating scalability for early care
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Peer Reviewed
Impact of integrated virtual and live nurse triage on patient care seeking and health care delivery effectiveness and efficiency
Gellert et al. (2024)
Highlights
Infermedica’s virtual triage altered member care-seeking behavior in 83.9% of interactions
22.8% of members changed the level of care they intended to seek after using VT-informed nurse triage implemented by Infermedica and Médis
62.2% of those who changed intent de-escalated to lower-acuity care (telemedicine or self-care)
20% of interactions took place outside of regular operating hours, Infermedica’s virtual triage directed 48.4% of these cases to lower acuity care
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Peer Reviewed
An analysis of virtual triage utilization by pregnant women prior to and during the COVID-19 pandemic
Jaszczak et al. (2024)
Highlights
The COVID-19 pandemic significantly influenced the use of virtual triage by pregnant women
In the first six months of 2020, there was an increase in pregnant users of 213%
The percentage of pregnant users grew from 0.32% in the first half of 2019 to 0.85% in late 2021
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Peer Reviewed
Virtual triage early detection of inappropriate care-seeking intent among patients with life-threatening cardiac symptoms
Gellert et al. (2024)
Highlights
Before using Infermedica’s solutions, 76.4% of users with symptoms of a heart attack didn't know the right level of care or planned to seek inappropriate care
Virtual triage can guide patients to necessary emergency care, possibly significantly reducing the risk of severe health outcomes and/or death
Infermedica’s virtual triage can potentially contribute to cost savings related to late or no detection of heart attacks
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Peer Reviewed
Using AI-based virtual triage to improve acuity-level alignment of patient care seeking in an ambulatory care setting
Gellert et al. (2024)
Highlights
35% of patients changed their care-seeking behavior after guidance from Infermedica’s AI-driven solutions
Infermedica Triage drove a 12.5% decrease in video and in-person consultations
When Infermedica’s virtual triage recommended de-escalation of care, 53% of patients complied
19.1% increase in patient engagement through secure messaging and telephone calls
Peer Reviewed
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)
Highlights
Examining how virtual triage can help to detect life-threatening symptoms and align care-seeking intentions with risk factors
76% of users with symptoms of a heart attack didn't plan urgent care help
33.5% of users with symptoms of investigated acute conditions hadn’t planned medical consultation before completing virtual triage
Infermedica’s virtual triage could save lives in 2 in every 1000 cases
Peer Reviewed
A comparative performance analysis of live clinical triage using rules-based triage protocols versus artificial intelligence-based automated virtual triage
Gellert et al. (2023)
Highlights
Infermedica and Schmitt-Thompson produced zero critical mis-triage situations — cases where an “emergency” is identified as “self-care”
Infermedica provides triage advice as safe as Schmitt-Thompson
Infermedica collects 4x more patient initial symptoms than Schmitt-Thompson for more data-driven assistance
Infermedica provides reliable and accurate results and increases triage levels in case of risk factors (especially for children)
Peer Reviewed
How virtual triage can improve patient experience and satisfaction: a narrative review and look forward
Gellert et al. (2023)
Highlights
Delivery of earlier and faster care can help to improve the patient experience
Virtual triage can reduce a patient’s need to visit a medical facility for low-acuity conditions
Virtual triage can divert primary care patients away from emergency departments to clinically appropriate outpatient settings
Virtual triage enhances clinical effectiveness and care referral
Virtual triage is an opportunity for providers to make patient healthcare experiences more personalized
Peer Reviewed
The role of virtual triage in improving clinician experience and satisfaction: a narrative review
Gellert et al. (2023)
Highlights
Virtual triage improves the clinician experience by leveraging real-time data, streamlining communications, personalizing case delivery, optimizing care coordination, and better aligning digital services with clinical practice
Healthcare organizations benefit from virtual triage by increasing the clinical impact of telemedicine and virtual care
Virtual triage helps to minimize administrative burden for better organizational efficiency
Peer Reviewed
A multinational survey of patient utilization of and value conveyed through virtual symptom triage and healthcare referral
Gellert et al. (2023)
Highlights
80.1% of patients indicated substantial overall satisfaction with the experience and value delivered by Infermedica solutions
80% of users indicated they will use virtual triage in the future
Infermedica’s symptom assessment decreased uncertainty in regards to necessary care in 25% of cases
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Peer Reviewed
The quality of diagnosis and triage advice provided by free online symptom checkers and apps in Australia
Highlights
Symptomate has the highest accuracy results:
77% correct possible conditions listed in the top 3 results
61% correct possible conditions listed as first
81% correct possible conditions listed in the top 10 results
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Peer Reviewed
Diagnostic accuracy of web-based COVID-19 symptom checkers: comparison study
Highlights
A good balance between sensitivity and specificity achieved only by two symptom checkers – COVID-RA by Infermedica and Symptoma
Infermedica and Symptoma were ranked at the top in terms of the accuracy for COVID-19 evaluations
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Peer Reviewed
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
Highlights
85.8% of patients were satisfied with the virtual care experience
85.7% of patients agreed that the symptom checker was easy to use
Both patients and physicians felt that the symptom checker allowed for clearer and faster consultations
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Peer Reviewed
Heuristic evaluation of COVID-19 chatbots
Highlights
Infermedica ranked in the top 3 best scoring chatbots
Infermedica as one of the web chat bots with the most attractive graphical user interface
Peer Reviewed
Application of a web-based self-assessment triage tool during the COVID-19 pandemic: descriptive study
Highlights
The CRA tool screened a vast audience—248,862 people with potentially worrisome symptoms indicating COVID-19
Getting results and next-step recommendations provided reassurance and evidence-based information
The CRA tool served as a preclinical triage for individuals with worrisome symptoms
How we develop, maintain, and test our technologies
A carefully curated medical information database lies at the very heart of the Infermedica platform. Get a better understanding of the processes used to build, maintain, and test our technologies.
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Content Development Process
The creation, validation, and maintenance of the medical knowledge base follow rigorous and well-established procedures.
Acceptance Test Cases
Learn how we test the quality of our inference engine by carrying out assessments on thousands of well-documented clinical cases.
Certifications
Module marked as Class I Medical Device
Quality Management System certified with PN-EN ISO 13485:2016
Compliant with the General Data Protection Regulation
LEI Code: 984500NIA7B8AFF75 805
Compliant with standards for patient data protection
Processes and Development Procedures certified with ISO 27001:2017
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System and Organization Controls 2® Compliant
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