| Development and validation of early warning score system: A systematic literature review LH Fu, J Schwartz, A Moy, C Knaplund, MJ Kang, KO Schnock, JP Garcia, ... Journal of biomedical informatics 105, 103410, 2020 | 98 | 2020 |
| Quantifying and visualizing nursing flowsheet documentation burden in acute and critical care S Collins, B Couture, MJ Kang, P Dykes, K Schnock, C Knaplund, ... AMIA Annual Symposium Proceedings 2018, 348, 2018 | 83 | 2018 |
| Predicting pressure injury using nursing assessment phenotypes and machine learning methods W Song, MJ Kang, L Zhang, W Jung, J Song, DW Bates, PC Dykes Journal of the American Medical Informatics Association 28 (4), 759-765, 2021 | 50 | 2021 |
| Mining clinical phrases from nursing notes to discover risk factors of patient deterioration ZT Korach, J Yang, SC Rossetti, KD Cato, MJ Kang, C Knaplund, ... International journal of medical informatics 135, 104053, 2020 | 37 | 2020 |
| Healthcare process modeling to phenotype clinician behaviors for exploiting the signal gain of clinical expertise (HPM-ExpertSignals): development and evaluation of a … SC Rossetti, C Knaplund, D Albers, PC Dykes, MJ Kang, TZ Korach, ... Journal of the American Medical Informatics Association 28 (6), 1242-1251, 2021 | 29 | 2021 |
| Unsupervised machine learning of topics documented by nurses about hospitalized patients prior to a rapid-response event ZT Korach, KD Cato, SA Collins, MJ Kang, C Knaplund, PC Dykes, ... Applied Clinical Informatics 10 (05), 952-963, 2019 | 25 | 2019 |
| Detecting language associated with home healthcare patient’s risk for hospitalization and emergency department visit J Song, M Ojo, KH Bowles, MV McDonald, K Cato, SC Rossetti, V Adams, ... Nursing research 71 (4), 285-294, 2022 | 24 | 2022 |
| Identifying nurses’ concern concepts about patient deterioration using a standard nursing terminology MJ Kang, PC Dykes, TZ Korach, L Zhou, KO Schnock, J Thate, K Whalen, ... International journal of medical informatics 133, 104016, 2020 | 18 | 2020 |
| Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings KO Schnock, MJ Kang, SC Rossetti, J Garcia, G Lowenthal, C Knaplund, ... International journal of medical informatics 153, 104525, 2021 | 16 | 2021 |
| Leveraging clinical expertise as a feature-not an outcome-of predictive models: evaluation of an early warning system use case SC Rossetti, C Knaplund, D Albers, A Tariq, K Tang, D Vawdrey, NH Yip, ... AMIA Annual Symposium Proceedings 2019, 323, 2020 | 16 | 2020 |
| Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods W Song, L Zhang, L Liu, M Sainlaire, M Karvar, MJ Kang, A Pullman, ... Journal of the American Medical Informatics Association 29 (10), 1661-1667, 2022 | 14 | 2022 |
| The communicating narrative concerns entered by registered nurses (CONCERN) clinical decision support early warning system: protocol for a cluster randomized pragmatic clinical … SC Rossetti, PC Dykes, C Knaplund, MJ Kang, K Schnock, JP Garcia Jr, ... JMIR Research Protocols 10 (12), e30238, 2021 | 14 | 2021 |
| Nursing documentation variation across different medical facilities within an integrated healthcare system MJ Kang, SC Rossetti, C Knaplund, FY Chang, KO Schnock, K Whalen, ... CIN: Computers, Informatics, Nursing 39 (12), 845-850, 2021 | 13 | 2021 |
| Developing hierarchical standardized home care nursing statements using nursing standard terminologies J Lee, MJ Kang, JP Garcia, PC Dykes International Journal of Medical Informatics 141, 104227, 2020 | 13 | 2020 |
| Appropriateness of ICNP in Korean home care nursing MJ Kang, SL Kim, JE Lee, CY Jung, S Kim International journal of medical informatics 84 (9), 667-674, 2015 | 13 | 2015 |
| Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study S Park, J Yoo, Y Lee, PB DeGuzman, MJ Kang, PC Dykes, SY Shin, ... International Emergency Nursing 74, 101424, 2024 | 8 | 2024 |
| Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events LH Fu, C Knaplund, K Cato, A Perotte, MJ Kang, PC Dykes, D Albers, ... Journal of the American Medical Informatics Association 28 (9), 1955-1963, 2021 | 8 | 2021 |
| A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes C Tang, JM Plasek, H Zhang, MJ Kang, H Sheng, Y Xiong, DW Bates, ... BMC medical informatics and decision making 19, 1-9, 2019 | 8 | 2019 |
| Automated medication error risk assessment system (auto-MERAS) MJ Kang, Y Jin, T Jin, SM Lee Journal of Nursing Care Quality 33 (1), 86-93, 2018 | 7 | 2018 |
| Stakeholder analysis for adopting a personal health record standard in Korea MJ Kang, CY Jung, S Kim, Y Boo, Y Lee, S Kim, Y Choi, EK Lee, S Kim Health Information Management Journal 44 (2), 33-42, 2015 | 7 | 2015 |
