Min-Jeoung Kang - researchr alias

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Viewing Publication 1 - 27 from 27

2022

2021

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration eventsLi-heng Fu, Chris Knaplund, Kenrick Cato, Adler J. Perotte, Min-Jeoung Kang, Patricia C. Dykes, David J. Albers, Sarah Collins Rossetti. jamia, 28(9):1955-1963, 2021. [doi]

Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky PatientsAmanda J. Moy, Kenrick Cato, Christopher Knaplund, Patricia C. Dykes, Min-Jeoung Kang, Graham Lowenthal, Sarah Collins Rossetti. amia 2021: [doi]

Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care UnitsSarah Collins Rossetti, Graham Lowenthal, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sandy Cho, Po-Yin Yen, Kenrick Cato. amia 2021: [doi]

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual frameworkSarah Collins Rossetti, Chris Knaplund, David J. Albers, Patricia C. Dykes, Min-Jeoung Kang, Zfania Tom Korach, Li Zhou, Kumiko Schnock, Jose P. Garcia, Jessica M. Schwartz, Li-heng Fu, Jeffrey G. Klann, Graham Lowenthal, Kenrick Cato. jamia, 28(6):1242-1251, 2021. [doi]

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settingsKumiko O. Schnock, Min-Jeoung Kang, Sarah Collins Rossetti, Jose P. Garcia, Graham Lowenthal, Chris Knaplund, Frank Y. Chang, David J. Albers, Zfania Tom Korach, Li Zhou, Jeffrey G. Klann, Kenrick Cato, David W. Bates, Patricia C. Dykes. ijmi, 153:104525, 2021. [doi]

Predicting pressure injury using nursing assessment phenotypes and machine learning methodsWenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes. jamia, 28(4):759-765, 2021. [doi]

Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning MethodsWenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes. amia 2021: [doi]

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With ToleranceChunlei Tang, Joseph M. Plasek, Xiao Shi, Meihan Wan, Haohan Zhang, Min-Jeoung Kang, Liqin Wang, Sevan M. Dulgarian, Yun Xiong, Jing Ma, David W. Bates, Li Zhou. titb, 25(1):175-180, 2021. [doi]

2020

Development and validation of early warning score system: A systematic literature reviewLi-heng Fu, Jessica M. Schwartz, Amanda J. Moy, Christopher Knaplund, Min-Jeoung Kang, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Patricia C. Dykes, Kenrick Cato, David Albers, Sarah Collins Rossetti. jbi, 105:103410, 2020. [doi]

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminologyMin-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Kumiko O. Schnock, Jennifer Thate, Kimberly Whalen, Haomiao Jia, Jessica Schwartz, Jose P. Garcia, Christopher Knaplund, Kenrick D. Cato, Sarah Collins Rossetti. ijmi, 133, 2020. [doi]

Mining clinical phrases from nursing notes to discover risk factors of patient deteriorationZfania Tom Korach, Jie Yang, Sarah Collins Rossetti, Kenrick D. Cato, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Jessica M. Schwartz, Li Zhou. ijmi, 135:104053, 2020. [doi]

Developing hierarchical standardized home care nursing statements using nursing standard terminologiesJinhwa Lee, Min-Jeoung Kang, Jose P. Garcia, Patricia C. Dykes. ijmi, 141:104227, 2020. [doi]

Mixed-Methods Approaches to Understanding, Measuring, and Reducing Clinical Documentation BurdenSarah Collins Rossetti, Amanda J. Moy, Min-Jeoung Kang, Jessica M. Schwartz, Kenrick Cato. amia 2020: [doi]

Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning MethodsWenyu Song, Min-Jeoung Kang, Linying Zhang, Jose P. Garcia, David W. Bates, Patricia C. Dykes. amia 2020: [doi]

2019

Factorial Design Survey Methodology on REDCap and Qualtrics: A Comparative AnalysisJose P. Garcia, Sarah Collins Rossetti, Kenrick Cato, Suzanne R. Bakken, Haomiao Jia, Min-Jeoung Kang, Christopher Knaplund, Patricia C. Dykes. amia 2019: [doi]

CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey PlatformJose P. Garci Jr., Sarah A. Collins, Kenrick D. Cato, Suzanne Bakken, Haomiao Jia, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Patricia C. Dykes. medinfo 2019: 1462-1463 [doi]

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response EventZfania Tom Korach, Kenrick D. Cato, Sarah A. Collins, Min-Jeoung Kang, Christopher Knaplund, Patricia C. Dykes, Liqin Wang, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Frank Y. Chang, Jessica M. Schwartz, Li Zhou. aci, 10(05):952-963, 2019. [doi]

Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use CaseSarah Collins Rossetti, Christopher Knaplund, David Albers, Abdul A. Tariq, Kui Tang, David K. Vawdrey, Natalie Yip, Patricia C. Dykes, Jeffrey G. Klann, Min-Jeoung Kang, Jose P. Garcia, Li-heng Fu, Kumiko O. Schnock, Kenrick Cato. amia 2019: [doi]

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notesChunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates, Li Zhou. midm, 19-S(8):258, 2019. [doi]

Data Reconstruction Based on Temporal Expressions in Clinical NotesZhikun Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Min-Jeoung Kang, Patricia C. Dykes, David W. Bates, Li Zhou. bibm 2019: 1004-1008 [doi]

2018

Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical CareSarah A. Collins, Brittany Couture, Min-Jeoung Kang, Patricia C. Dykes, Kumiko O. Schnock, Christopher Knaplund, Frank Y. Chang, Kenrick Cato. amia 2018: [doi]

Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site StudyBrittany Couture, Jeffrey G. Klann, Kenrick Cato, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sarah A. Collins. amia 2018: [doi]

Patients as Partners in the Hospital Setting: Engagement Methods in Research, Quality Improvement and BeyondSusan Hull, Gillian Strudwick, Sarah A. Collins, Patricia C. Dykes, Kumiko O. Schnock, Min-Jeoung Kang. ni 2018: 26-27 [doi]

Identifying Concepts of Nurses' Concerns Using a Standard Nursing TerminologyMin-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Jennifer Thate, Kimberly Whalen, Kumiko O. Schnock, Christopher Knaplund, Brittany Couture, Kenrick Cato, Sarah A. Collins. amia 2018: [doi]

2015

Appropriateness of ICNP in Korean home care nursingMin-Jeoung Kang, Soon-Lae Kim, Jong-eun Lee, Chai Young Jung, Sukil Kim. ijmi, 84(9):667-674, 2015. [doi]

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