Search Results - "Korach, Zfania"

Speech recognition for clinical documentation from 1990 to 2018: a systematic review by Blackley, Suzanne V, Huynh, Jessica, Wang, Liqin, Korach, Zfania, Zhou, Li

“…Abstract Objective The study sought to review recent literature regarding use of speech recognition (SR) technology for clinical documentation and to…”
Get full text

Artificial intelligence in oncology: Path to implementation by Chua, Isaac S., Gaziel‐Yablowitz, Michal, Korach, Zfania T., Kehl, Kenneth L., Levitan, Nathan A., Arriaga, Yull E., Jackson, Gretchen P., Bates, David W., Hassett, Michael

“…In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of…”
Get full text

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration by Korach, Zfania Tom, Yang, Jie, Rossetti, Sarah Collins, Cato, Kenrick D., Kang, Min-Jeoung, Knaplund, Christopher, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Schwartz, Jessica M., Zhou, Li

“…[Display omitted] •Nursing notes convey important signals about patient conditions and clinical outcomes.•Unsupervised machine learning can identify phrases…”
Get full text

Medical Malpractice Trends: Errors in Automated Speech Recognition by Topaz, Maxim, Schaffer, Adam, Lai, Kenneth H., Korach, Zfania Tom, Einbinder, Jonathan, Zhou, Li

Get full text

Keratoconus and Allergic Diseases Among Israeli Adolescents Between 2005 and 2013 by Merdler, Ilan, Hassidim, Ayal, Sorkin, Nir, Shapira, Shachar, Gronovich, Yoav, Korach, Zfania

“…PURPOSE:The aim of this study was to evaluate the association between keratoconus (KC) and common allergic conditions, such as asthma, atopic dermatitis, and…”
Get full text

Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department by Korach, Zfania Tom, Gradwohl, Stephen, Messinger, Amanda, Bookman, Kelly, Cohen, Kevin, Zhou, Li, Goss, Foster

“…•Decision making in the Emergency Department requires fast identification of clinical information relevant to the patient’s complaint.•Existing information…”
Get full text

Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes by Wang, Liqin, Lakin, Joshua, Riley, Clay, Korach, Zfania, Frain, Laura N, Zhou, Li

“…Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in the U.S., little is known about the course of these…”
Get full text

A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record by Wang, Liqin, Blackley, Suzanne V, Blumenthal, Kimberly G, Yerneni, Sharmitha, Goss, Foster R, Lo, Ying-Chih, Shah, Sonam N, Ortega, Carlos A, Korach, Zfania Tom, Seger, Diane L, Zhou, Li

“…Abstract Objective Incomplete and static reaction picklists in the allergy module led to free-text and missing entries that inhibit the clinical decision…”
Get full text

Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning by Korach, Zfania Tom, Yerneni, Sharmitha, Einbinder, Jonathan, Kallenberg, Carl, Zhou, Li

“…Information extraction (IE), the distillation of specific information from unstructured data, is a core task in natural language processing. For rare entities…”
Get full text

Malpractice Cases Involving Allergy Information in Electronic Health Records: Implications for Safer Systems by Topaz, Maxim, Schaffer, Adam, Lai, Kenneth, Korach, Zfania Tom, Einbinder, Jonathan, Zhou, Li

“…Almost every EHR system has a few clinical decision support functions that have been shown to improve the overall quality and safety of care.1 For example,…”
Get full text

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event by Korach, Zfania Tom, Cato, Kenrick D., Collins, Sarah A., Kang, Min Jeoung, Knaplund, Christopher, Dykes, Patricia C., Wang, Liqin, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Chang, Frank, Schwartz, Jessica M., Zhou, Li

“…Abstract Background  In the hospital setting, it is crucial to identify patients at risk for deterioration before it fully develops, so providers can respond…”
Get full text