Abstract
Artificial intelligence (AI) based triage and diagnostic systems are increasingly being used in healthcare. Although these online tools can improve patient care, their reliability and accuracy remain variable. We hypothesized that an artificial intelligence (AI) powered triage and diagnostic system (MayaMD) would compare favorably with human doctors with respect to triage and diagnostic accuracy. We performed a prospective validation study of the accuracy and safety of an AI powered triage and diagnostic system. Identical cases were evaluated by an AI system and individual Indian healthcare practitioners (HCPs) to draw comparison for accuracy and safety. The same cases were validated with the help of consensus received from an expert panel of 3 doctors. These cases in the form of clinical vignettes were provided by an expert medical team. Overall, the study showed that the MayaMD AI based platform for virtual triage was able to recommend the most appropriate triage ensuring patient safety. In fact, the accuracy of triage recommendation by MayaMD was significantly better than that provided by individual HCPs (74% vs. 91.67%, p=0.04) with consensus being used as standard.
Highlights
The application of Artificial intelligence (AI) in modern healthcare systems has emerged as an enabler to improve healthcare outcomes
This way healthcare system would become efficient in saving more lives with optimal use of healthcare resource. [1,2] previous studies using e-triage system have shown that Machine-Learning-based Electronic Triage more accurately differentiates patients with respect to clinical outcomes compared with the standard Emergency Severity Index and demonstrated slight improvements in discriminating patient resource utilization. [3,4,5]
MayaMD, performed significantly better than individual clinicians when determining a triage decision for a clinical vignette
Summary
The application of Artificial intelligence (AI) in modern healthcare systems has emerged as an enabler to improve healthcare outcomes. MayaMD is an AI based virtual triage system that recognizes the importance of stratification of patients based on their broad illness and directs patients to the appropriate healthcare setting before they arrive at emergency department or clinics, which would otherwise require resource and lead to unnecessary crowding in hospital and expose other patients as well as the attending staff to risk of communicable infectious diseases. It is essentially an online symptom checker that uses chatbot services to collect information regarding the patient’s symptoms or illness and thereby provides them with
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