Artificial intelligence approaches using natural language processing to advance EHR-based clinical research
Y Juhn, H Liu - Journal of Allergy and Clinical Immunology, 2020 - Elsevier
The wide adoption of electronic health record systems in health care generates big real-
world data that open new venues to conduct clinical research. As a large amount of valuable …
world data that open new venues to conduct clinical research. As a large amount of valuable …
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges
A Wong, JM Plasek, SP Montecalvo… - … : The Journal of Human …, 2018 - Wiley Online Library
The safety of medication use has been a priority in the United States since the late 1930s.
Recently, it has gained prominence due to the increasing amount of data suggesting that a …
Recently, it has gained prominence due to the increasing amount of data suggesting that a …
Drug allergies documented in electronic health records of a large healthcare system
Background The prevalence of drug allergies documented in electronic health records (EHR
s) of large patient populations is understudied. Objective We aimed to describe the …
s) of large patient populations is understudied. Objective We aimed to describe the …
Hospital readmission and social risk factors identified from physician notes
AS Navathe, F Zhong, VJ Lei, FY Chang… - Health services …, 2018 - Wiley Online Library
Objective To evaluate the prevalence of seven social factors using physician notes as
compared to claims and structured electronic health records (EHR s) data and the resulting …
compared to claims and structured electronic health records (EHR s) data and the resulting …
Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support
A Lederman, R Lederman… - Journal of the American …, 2022 - academic.oup.com
Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …
other clinical settings. There has been a corresponding proliferation of clinical natural …
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Background Data mining of electronic health records (EHRs) has a huge potential for
improving clinical decision support and to help healthcare deliver precision medicine …
improving clinical decision support and to help healthcare deliver precision medicine …
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
Background Natural language processing (NLP) based clinical decision support systems
(CDSSs) have demonstrated the ability to extract vital information from patient electronic …
(CDSSs) have demonstrated the ability to extract vital information from patient electronic …
[HTML][HTML] Use of the systematized nomenclature of medicine clinical terms (SNOMED CT) for processing free text in health care: systematic scoping review
Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing
S Chaichulee, C Promchai, T Kaewkomon… - PLoS …, 2022 - journals.plos.org
Allergic reactions to medication range from mild to severe or even life-threatening. Proper
documentation of patient allergy information is critical for safe prescription, avoiding drug …
documentation of patient allergy information is critical for safe prescription, avoiding drug …
Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit
Background Clinical decision support (CDS) displayed in electronic health records has been
found to reduce the incidence of medication errors and adverse drug events (ADE). Recent …
found to reduce the incidence of medication errors and adverse drug events (ADE). Recent …