AIMC Topic: Electronic Health Records
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Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data.
Annals of family medicine
Jan 1, 2023
Background: Historically, primary care databases have been limited to subsets of the full electronic medical record (EMR) data to maintain privacy. With the progression of artificial intelligence (AI) techniques (i.e., machine learning, natural langu...
A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.
International journal of medical informatics
Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework.
Mathematical biosciences and engineering : MBE
Dec 27, 2022
Extracting entity relations from unstructured Chinese electronic medical records is an important task in medical information extraction. However, Chinese electronic medical records mostly have document-level volumes, and existing models are either un...
Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.
Clinical and translational science
Dec 26, 2022
An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from electronic health records (EHRs). Currently, no standardized reporting guidelines for NLP-a...
Developing Artificial Intelligence Models for Extracting Oncologic Outcomes from Japanese Electronic Health Records.
Advances in therapy
Dec 22, 2022
INTRODUCTION: A framework that extracts oncological outcomes from large-scale databases using artificial intelligence (AI) is not well established. Thus, we aimed to develop AI models to extract outcomes in patients with lung cancer using unstructure...
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
International journal of medical informatics
Dec 21, 2022
BACKGROUND: Cognitive tests and biomarkers are the key information to assess the severity and track the progression of Alzheimer's' disease (AD) and AD-related dementias (AD/ADRD), yet, both are often only documented in clinical narratives of patient...
Transforming epilepsy research: A systematic review on natural language processing applications.
Epilepsia
Dec 19, 2022
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical jour...
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.
BMC bioinformatics
Dec 19, 2022
BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spot in smart healthcare. For developing computational medication recommendation methods based on EMR, an important challenge is the lack of a large numb...
Electronic Health Record Optimization for Artificial Intelligence.
Clinics in laboratory medicine
Dec 14, 2022
Laboratory clinical decision support (CDS) typically relies on data from the electronic health record (EHR). The implementation of a sustainable, effective laboratory CDS program requires a commitment to standardization and harmonization of key EHR d...
Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach.
Viruses
Dec 11, 2022
The clinical application of detecting COVID-19 factors is a challenging task. The existing named entity recognition models are usually trained on a limited set of named entities. Besides clinical, the non-clinical factors, such as social determinant ...
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