Appropriateness of ICNP in Korean home care nursing. - Min-Jeoung Kang; Soon-Lae Kim; Jong-Eun Lee; Chai Young Jung; Sukil Kim (Int. J. Medical Informatics, 2015)

Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care. - Sarah A. Collins; Brittany Couture; Min-Jeoung Kang; Patricia C. Dykes; Kumiko O. Schnock; Christopher Knaplund; Frank Y. Chang; Kenrick Cato (AMIA, 2018)

Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site Study. - Brittany Couture; Jeffrey G. Klann; Kenrick Cato; Christopher Knaplund; Min-Jeoung Kang; Patricia C. Dykes; Sarah A. Collins (AMIA, 2018)

Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology. - Min-Jeoung Kang; Patricia C. Dykes; Zfania Tom Korach; Li Zhou 007; Jennifer Thate; Kimberly Whalen; Kumiko O. Schnock; Christopher Knaplund; Brittany Couture; Kenrick Cato; Sarah A. Collins (AMIA, 2018)

Patients as Partners in the Hospital Setting: Engagement Methods in Research, Quality Improvement and Beyond. - Susan Hull; Gillian Strudwick; Sarah A. Collins; Patricia C. Dykes; Kumiko O. Schnock; Min-Jeoung Kang (Nursing Informatics, 2018)

Factorial Design Survey Methodology on REDCap and Qualtrics: A Comparative Analysis. - Jose P. Garcia; Sarah Collins Rossetti; Kenrick Cato; Suzanne R. Bakken; Haomiao Jia; Min-Jeoung Kang; Christopher Knaplund; Patricia C. Dykes (AMIA, 2019)

Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case. - Sarah Collins Rossetti; Christopher Knaplund; David J. 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; et al. (AMIA, 2019)

Data Reconstruction Based on Temporal Expressions in Clinical Notes. - Zhikun Zhang; Chunlei Tang; Joseph M. Plasek; Yun Xiong; Min-Jeoung Kang; Patricia C. Dykes; David W. Bates; Li Zhou 007 (BIBM, 2019)

CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform. - Jose 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)

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event. - Zfania 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; et al. (Appl. Clin. Inform., 2019)

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes. - Chunlei Tang; Joseph M. Plasek; Haohan Zhang; Min-Jeoung Kang; Haokai Sheng; Yun Xiong; David W. Bates; Li Zhou 007 (BMC Medical Informatics Decis. Mak., 2019)

Mixed-Methods Approaches to Understanding, Measuring, and Reducing Clinical Documentation Burden. - Sarah Collins Rossetti; Amanda J. Moy; Min-Jeoung Kang; Jessica M. Schwartz; Kenrick Cato (AMIA, 2020)

Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods. - Wenyu Song; Min-Jeoung Kang; Linying Zhang; Jose P. Garcia; David W. Bates; Patricia C. Dykes (AMIA, 2020)

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology. - Min-Jeoung Kang; Patricia C. Dykes; Zfania Tom Korach; Li Zhou 007; Kumiko O. Schnock; Jennifer Thate; Kimberly Whalen; Haomiao Jia; Jessica M. Schwartz; Jose P. Garcia; Christopher Knaplund; Kenrick D. Cato; et al. (Int. J. Medical Informatics, 2020)

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration. - Zfania Tom Korach; Jie Yang 039; Sarah Collins Rossetti; Kenrick D. Cato; Min-Jeoung Kang; Christopher Knaplund; Kumiko O. Schnock; Jose P. Garcia; Haomiao Jia; Jessica M. Schwartz; Li Zhou 007 (Int. J. Medical Informatics, 2020)

Developing hierarchical standardized home care nursing statements using nursing standard terminologies. - Jinhwa Lee; Min-Jeoung Kang; Jose P. Garcia; Patricia C. Dykes (Int. J. Medical Informatics, 2020)

Development and validation of early warning score system: A systematic literature review. - Li-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 J. Albers; Sarah Collins Rossetti (J. Biomed. Informatics, 2020)

Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients. - Amanda J. Moy; Kenrick Cato; Christopher Knaplund; Patricia C. Dykes; Min-Jeoung Kang; Graham Lowenthal; Sarah Collins Rossetti (AMIA, 2021)

Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units. - Sarah Collins Rossetti; Graham Lowenthal; Christopher Knaplund; Min-Jeoung Kang; Patricia C. Dykes; Sandy Cho; Po-Yin Yen; Kenrick Cato (AMIA, 2021)

Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. - Wenyu Song; Linying Zhang; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (AMIA, 2021)

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. - Kumiko 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 007; Jeffrey G. Klann; Kenrick Cato; et al. (Int. J. Medical Informatics, 2021)

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. - Li-heng Fu; Chris Knaplund; Kenrick Cato; Adler J. Perotte; Min-Jeoung Kang; Patricia C. Dykes; David J. Albers; Sarah Collins Rossetti (J. Am. Medical Informatics Assoc., 2021)

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. - Sarah Collins Rossetti; Chris Knaplund; David J. Albers; Patricia C. Dykes; Min-Jeoung Kang; Zfania Tom Korach; Li Zhou 007; Kumiko Schnock; Jose P. Garcia; Jessica M. Schwartz; Li-heng Fu; Jeffrey G. Klann; et al. (J. Am. Medical Informatics Assoc., 2021)

Predicting pressure injury using nursing assessment phenotypes and machine learning methods. - Wenyu Song; Min-Jeoung Kang; Linying Zhang; Wonkyung Jung; Jiyoun Song; David W. Bates; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2021)

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. - Chunlei 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 007 (IEEE J. Biomed. Health Informatics, 2021)

Using EHR Data and Machine Learning Methods to Predict Fall Injury. - Wenyu Song; Luwei Liu; Hannah Rice; Michael Sainlaire; Lillian Min; Linying Zhang; Tien Thai; Min-Jeoung Kang; Mica Curtin-Bowen; Stuart R. Lipsitz; Lipika Samal; Nancy Latham; et al. (AMIA, 2022)

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. - Wenyu Song; Linying Zhang; Luwei Liu; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Stuart R. Lipsitz; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2022)

The potential for drug incompatibility and its drivers - A hospital wide retrospective descriptive study. - Nahyun Keum; Junsang Yoo; Sujeong Hur; Soo-Yong Shin; Patricia C. Dykes; Min-Jeoung Kang; Yong Seok Lee; Won Chul Cha (Int. J. Medical Informatics, 2024)