Search Results - "Meystre, Stephane M"

An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study by Heider, Paul M, Meystre, Stéphane M

“…Clinical natural language processing (NLP) researchers need access to directly comparable evaluation results for applications such as text deidentification…”
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Automatic de-identification of textual documents in the electronic health record: a review of recent research by Meystre, Stephane M, Friedlin, F Jeffrey, South, Brett R, Shen, Shuying, Samore, Matthew H

“…In the United States, the Health Insurance Portability and Accountability Act (HIPAA) protects the confidentiality of patient data and requires the informed…”
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report by Obeid, Jihad S, Davis, Matthew, Turner, Matthew, Meystre, Stephane M, Heider, Paul M, O'Bryan, Edward C, Lenert, Leslie A

“…Abstract Objective In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used…”
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Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models by Meystre, Stéphane M, Heider, Paul M, Cates, Andrew, Bastian, Grace, Pittman, Tara, Gentilin, Stephanie, Kelechi, Teresa J

“…To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial…”
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Automatic trial eligibility surveillance based on unstructured clinical data by Meystre, Stéphane M., Heider, Paul M., Kim, Youngjun, Aruch, Daniel B., Britten, Carolyn D.

“…•Most eligibility criteria are only mentioned in unstructured clinical text.•Natural language processing (NLP) system allows extracting criteria from text.•NLP…”
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Text de-identification for privacy protection: A study of its impact on clinical text information content by Meystre, Stéphane M., Ferrández, Óscar, Friedlin, F. Jeffrey, South, Brett R., Shen, Shuying, Samore, Matthew H.

“…[Display omitted] •Text de-identification minimally reduces the informativeness of clinical notes.•About 1.2–3% of clinical concepts in text are altered by…”
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BoB, a best-of-breed automated text de-identification system for VHA clinical documents by Ferrández, Oscar, South, Brett R, Shen, Shuying, Friedlin, F Jeffrey, Samore, Matthew H, Meystre, Stéphane M

“…De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a…”
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Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture by Heider, Paul M, Meystre, Stéphane M

“…Automated extraction of patient trial eligibility for clinical research studies can increase enrollment at a decreased time and money cost. We have developed a…”
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Extraction of left ventricular ejection fraction information from various types of clinical reports by Kim, Youngjun, Garvin, Jennifer H., Goldstein, Mary K., Hwang, Tammy S., Redd, Andrew, Bolton, Dan, Heidenreich, Paul A., Meystre, Stéphane M.

“…[Display omitted] •Concepts related to Heart failure in clinical notes are automatically identified.•Using predictions from existing applications improves…”
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Evaluating current automatic de-identification methods with Veteran's health administration clinical documents by Ferrández, Oscar, South, Brett R, Shen, Shuying, Friedlin, F Jeffrey, Samore, Matthew H, Meystre, Stéphane M

“…The increased use and adoption of Electronic Health Records (EHR) causes a tremendous growth in digital information useful for clinicians, researchers and many…”
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Evaluating the informatics for integrating biology and the bedside system for clinical research by Deshmukh, Vikrant G, Meystre, Stéphane M, Mitchell, Joyce A

“…Selecting patient cohorts is a critical, iterative, and often time-consuming aspect of studies involving human subjects; informatics tools for helping…”
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A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System by Kim, Youngjun, Heider, Paul M, Lally, Isabel Rh, Meystre, Stéphane M

“…Family history information is important to assess the risk of inherited medical conditions. Natural language processing has the potential to extract this…”
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Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents by Meystre, Stéphane M, Thibault, Julien, Shen, Shuying, Hurdle, John F, South, Brett R

“…OBJECTIVE To describe a new medication information extraction system-Textractor-developed for the 'i2b2 medication extraction challenge'. The development,…”
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Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments by Kim, Youngjun, Garvin, Jennifer, Goldstein, Mary K, Meystre, Stéphane M

“…Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection…”
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Improving heart failure information extraction by domain adaptation by Kim, Youngjun, Garvin, Jennifer, Heavirland, Julia, Meystre, Stéphane M

“…Adapting an information extraction application to a new domain (e.g., new categories of narrative text) typically requires re-training the application with the…”
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Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents by Meystre, Stéphane M, Kim, Youngjun, Heavirland, Julia, Williams, Jenifer, Bray, Bruce E, Garvin, Jennifer

“…Angiotensin Converting Enzyme Inhibitors (ACEI) and Angiotensin II Receptor Blockers (ARB) are two common medication classes used for heart failure treatment…”
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Stakeholder Engagement for a Planned Automated Quality Measurement System by Kalsy, Megha, Kelly, Natalie, Meystre, Stephane M., Kim, Youngjun, Bray, Bruce E., Bolton, Dan, Goldstein, Mary K., Garvin, Jennifer H.

“…We sought to evaluate the context of potential implementation of an automated quality measurement system for inpatients with heart failure in the U.S…”
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Ensemble method–based extraction of medication and related information from clinical texts by Kim, Youngjun, Meystre, Stéphane M

“…Abstract Objective Accurate and complete information about medications and related information is crucial for effective clinical decision support and precise…”
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Common data model for natural language processing based on two existing standard information models: CDA+GrAF by Meystre, Stéphane M., Lee, Sanghoon, Jung, Chai Young, Chevrier, Raphaël D.

“…[Display omitted] ► We combined two existing standards in a new data model: HL7 CDA and ISO GrAF. ► This new hybrid data model was successfully applied to two…”
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Automatically detecting medications and the reason for their prescription in clinical narrative text documents by Meystre, Stéphane M, Thibault, Julien, Shen, Shuying, Hurdle, John F, South, Brett R

“…An important proportion of the information about the medications a patient is taking is mentioned only in narrative text in the electronic health record…”
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