TY - JOUR
T1 - Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation
AU - Wen, Andrew
AU - Fu, Sunyang
AU - Moon, Sungrim
AU - El Wazir, Mohamed
AU - Rosenbaum, Andrew
AU - Kaggal, Vinod C.
AU - Liu, Sijia
AU - Sohn, Sunghwan
AU - Liu, Hongfang
AU - Fan, Jungwei
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language processing (NLP) plays an essential role in extracting valuable information that can benefit decision making, administration reporting, and research. Here, we share several desiderata pertaining to development and usage of NLP systems, derived from two decades of experience implementing clinical NLP at the Mayo Clinic, to inform the healthcare AI community. Using a framework, we developed as an example implementation, the desiderata emphasize the importance of a user-friendly platform, efficient collection of domain expert inputs, seamless integration with clinical data, and a highly scalable computing infrastructure.
AB - Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language processing (NLP) plays an essential role in extracting valuable information that can benefit decision making, administration reporting, and research. Here, we share several desiderata pertaining to development and usage of NLP systems, derived from two decades of experience implementing clinical NLP at the Mayo Clinic, to inform the healthcare AI community. Using a framework, we developed as an example implementation, the desiderata emphasize the importance of a user-friendly platform, efficient collection of domain expert inputs, seamless integration with clinical data, and a highly scalable computing infrastructure.
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U2 - 10.1038/s41746-019-0208-8
DO - 10.1038/s41746-019-0208-8
M3 - Article
AN - SCOPUS:85135599554
SN - 2398-6352
VL - 2
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 130
ER -