EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice

EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice

Non-used clinical information has negative implications on healthcare quality. Clinicians pay priority attention to clinical information relevant to their specialties during routine clinical practices but may be insensitive or less concerned about information showing disease risks beyond their speci...

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Bibliographic Details
Main Authors: Li, J. (Author), Liang, T. (Author), Lyu, K. (Author), Shang, Y. (Author), Tian, Y. (Author), Wang, Z. (Author), Xin, R. (Author), Zhou, M. (Author), Zhou, T. (Author), Zhu, S. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
adult
Application studies
Article
artificial intelligence
Artificial Intelligence
automated pattern recognition
cancer risk
Centralized informations
Chronic kidney disease
chronic kidney failure
Clinical information
clinical practice
Clinical practices
colorectal cancer
Diagnosis
Diagnosis criteria
electronic health record
Electronic health record (EHRs)
Electronic Health Records
estimated glomerular filtration rate
female
follow up
Follow-Up Studies
Graphical reasonings
health care delivery
health care quality
human
Humans
hyperkalemia
hyperlipidemia
information model
kidney function
knowledge
Knowledge graph
Knowledge representation
liver cirrhosis
major clinical study
male
non-used information
ontology
pancreas cancer
Pattern Recognition, Automated
prevalence
reasoning
risk factor
semantics
Semantics
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