Brian Hazlehurst
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View article: Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of <i>International Classification of Diseases, Tenth Revision,</i> <i> Clinical Modification</i> codes
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of <i>International Classification of Diseases, Tenth Revision,</i> <i> Clinical Modification</i> codes Open
View article: A general framework for developing computable clinical phenotype algorithms
A general framework for developing computable clinical phenotype algorithms Open
Objective To present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limite…
View article: Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning Open
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 dat…
View article: Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data Open
OBJECTIVE: Opioid surveillance in response to the opioid epidemic will benefit from scalable, automated algorithms for identifying patients with clinically documented signs of problem prescription opioid use. Existing algorithms lack accur…
View article: Using natural language processing of clinical text to enhance identification of opioid‐related overdoses in electronic health records data
Using natural language processing of clinical text to enhance identification of opioid‐related overdoses in electronic health records data Open
Purpose To enhance automated methods for accurately identifying opioid‐related overdoses and classifying types of overdose using electronic health record (EHR) databases. Methods We developed a natural language processing (NLP) software ap…
View article: Development of an algorithm to identify inpatient opioid‐related overdoses and oversedation using electronic data
Development of an algorithm to identify inpatient opioid‐related overdoses and oversedation using electronic data Open
Purpose To facilitate surveillance and evaluate interventions addressing opioid‐related overdoses, algorithms are needed for use in large health care databases to identify and differentiate community‐occurring opioid‐related overdoses from…
View article: Identifying and classifying opioid‐related overdoses: A validation study
Identifying and classifying opioid‐related overdoses: A validation study Open
Purpose The study aims to develop and validate algorithms to identify and classify opioid overdoses using claims and other coded data, and clinical text extracted from electronic health records using natural language processing (NLP). Meth…
View article: Long-Term Outcomes From Repeated Smoking Cessation Assistance in Routine Primary Care
Long-Term Outcomes From Repeated Smoking Cessation Assistance in Routine Primary Care Open
Purpose: To test the association between repeated clinical smoking cessation support and long-term cessation. Design: Retrospective, observational cohort study using structured and free-text data from electronic health records. Setting: Si…
View article: Smoking-Cessation Assistance: Before and After Stage 1 Meaningful Use Implementation
Smoking-Cessation Assistance: Before and After Stage 1 Meaningful Use Implementation Open
View article: When I say … distributed cognition
When I say … distributed cognition Open
View article: Assessing Trends in Tobacco Cessation in Diverse Patient Populations
Assessing Trends in Tobacco Cessation in Diverse Patient Populations Open
Among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. This study shows the practicality of using electronic medical records for monitoring patient smoking status over time. Simila…