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 …

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 …

Drug allergies documented in electronic health records of a large healthcare system

L Zhou, N Dhopeshwarkar, KG Blumenthal, F Goss… - Allergy, 2016 - Wiley Online Library
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 …

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 …

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 …

Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records

GT Berge, OC Granmo, TO Tveit, AL Ruthjersen… - BMC Medical Informatics …, 2023 - Springer
Background Data mining of electronic health records (EHRs) has a huge potential for
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

GT Berge, OC Granmo, TO Tveit, BE Munkvold… - BMC Medical Informatics …, 2023 - Springer
Background Natural language processing (NLP) based clinical decision support systems
(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

C Gaudet-Blavignac, V Foufi, M Bjelogrlic… - Journal of medical …, 2021 - jmir.org
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 …

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 …

Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit

A Wong, MG Amato, DL Seger, C Rehr… - BMJ quality & …, 2018 - qualitysafety.bmj.com
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 …