TY - JOUR
T1 - Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence
T2 - What This Means for Us and What We Can Do About It
AU - Langford, Bradley J.
AU - Branch-Ellima, Westyn
AU - Nori, Priya
AU - Marra, Alexandre R.
AU - Bearman, Gonzalo
N1 - Publisher Copyright:
© 2024 Oxford University Press. All rights reserved.
PY - 2024/3/1
Y1 - 2024/3/1
N2 - With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID) faces both innovation and disruption. AI and its subfields including machine learning, deep learning, and large language models can support ID clinicians' decision making and streamline their workflow. AI models may help ensure earlier detection of disease, more personalized empiric treatment recommendations, and allocation of human resources to support higher-yield antimicrobial stewardship and infection prevention strategies. AI is unlikely to replace the role of ID experts, but could instead augment it. However, its limitations will need to be carefully addressed and mitigated to ensure safe and effective implementation. ID experts can be engaged in AI implementation by participating in training and education, identifying use cases for AI to help improve patient care, designing, validating and evaluating algorithms, and continuing to advocate for their vital role in patient care.
AB - With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID) faces both innovation and disruption. AI and its subfields including machine learning, deep learning, and large language models can support ID clinicians' decision making and streamline their workflow. AI models may help ensure earlier detection of disease, more personalized empiric treatment recommendations, and allocation of human resources to support higher-yield antimicrobial stewardship and infection prevention strategies. AI is unlikely to replace the role of ID experts, but could instead augment it. However, its limitations will need to be carefully addressed and mitigated to ensure safe and effective implementation. ID experts can be engaged in AI implementation by participating in training and education, identifying use cases for AI to help improve patient care, designing, validating and evaluating algorithms, and continuing to advocate for their vital role in patient care.
KW - antimicrobial stewardship
KW - artificial intelligence
KW - infection control
KW - infectious diseases
KW - workforce
UR - http://www.scopus.com/inward/record.url?scp=85187127998&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85187127998&partnerID=8YFLogxK
U2 - 10.1093/ofid/ofae053
DO - 10.1093/ofid/ofae053
M3 - Article
AN - SCOPUS:85187127998
SN - 2328-8957
VL - 11
JO - Open Forum Infectious Diseases
JF - Open Forum Infectious Diseases
IS - 3
M1 - ofae053
ER -