@Article{crph198,
AUTHOR = {Lath, Gunjan and Rhee, Raju and Bharathan, Ranjith and Nikam, Kaveri},
TITLE = {A Comparative Study for Recommended Triage Accuracy of AI Based Triage System MayaMD with Indian HCPs},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2021},
NUMBER = {1},
PAGES = {48-55},
URL = {/10.31586/jaibd-1-1-510.31586/jaibd/1/1/5},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2021.198},
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.},
}

%0 Journal Article
%A Lath, Gunjan
%A Rhee, Raju
%A Bharathan, Ranjith
%A Nikam, Kaveri
%D 2021
%J Current Research in Public Health

%@ 2831-5162
%V 1
%N 1
%P 48-55

%T A Comparative Study for Recommended Triage Accuracy of AI Based Triage System MayaMD with Indian HCPs
%M doi:10.31586/jaibd.2021.198
%U /10.31586/jaibd-1-1-510.31586/jaibd/1/1/5

TY  - JOUR
AU  - Lath, Gunjan
AU  - Rhee, Raju
AU  - Bharathan, Ranjith
AU  - Nikam, Kaveri
TI  - A Comparative Study for Recommended Triage Accuracy of AI Based Triage System MayaMD with Indian HCPs
T2  - Current Research in Public Health
PY  - 2021
VL  - 1
IS  - 1
SN  - 2831-5162
SP  - 48
EP  - 55
UR  - /10.31586/jaibd-1-1-510.31586/jaibd/1/1/5
AB  - 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.
DO  - A Comparative Study for Recommended Triage Accuracy of AI Based Triage System MayaMD with Indian HCPs
TI  - 10.31586/jaibd.2021.198
ER  -