AIMC Topic: Electronic Health Records

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Supporting the Capture of Social Needs Through Natural Language Processing.

Journal of the American Board of Family Medicine : JABFM
Social factors impact morbidity and mortality among patients. Documenting social needs in the clinical notes is currently widely done by family physicians. The unstructured format of information on social factors in electronic health records limits t...

Impact of Professional Background on Inter-Annotator Variability and Accuracy During Annotation of Clinical Notes.

Studies in health technology and informatics
BACKGROUND: The aging population's need for treatment of chronic diseases is exhibiting a marked increase in urgency, with heart failure being one of the most severe diseases in this regard. To improve outpatient care of these patients and reduce hos...

Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.

Hospital pediatrics
BACKGROUND: Identifying children at high risk with complex health needs (CCHN) who have intersecting medical and social needs is challenging. This study's objectives were to (1) develop and evaluate an electronic health record (EHR)-based clinical pr...

Analysis of 'One in a Million' primary care consultation conversations using natural language processing.

BMJ health & care informatics
BACKGROUND: Modern patient electronic health records form a core part of primary care; they contain both clinical codes and free text entered by the clinician. Natural language processing (NLP) could be employed to generate these records through 'lis...

Predicting future falls in older people using natural language processing of general practitioners' clinical notes.

Age and ageing
BACKGROUND: Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall...

Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data.

Mathematical biosciences and engineering : MBE
The knowledge graph is a critical resource for medical intelligence. The general medical knowledge graph tries to include all diseases and contains much medical knowledge. However, it is challenging to review all the triples manually. Therefore the q...

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.

American journal of epidemiology
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using data on 516 pa...

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Health informatics journal
PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studie...

Malnutrition and its contributing factors for older people living in residential aged care facilities: Insights from natural language processing of aged care records.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Malnutrition is a serious health risk facing older people living in residential aged care facilities. Aged care staff record observations and concerns about older people in electronic health records (EHR), including free-text progress not...

Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.

Health informatics journal
BACKGROUND: Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming and error-prone process. Methods of natural language processing (NLP) can help define an ext...