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Kenrick Cato
Kenrick D. Cato
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2020 – today
- 2024
- [c50]Aviv Y. Landau, Ashley Blanchard, Paritosh Kulkarni, Shahad Althobaiti, Betina Idnay, Desmond Upton Patton, Kenrick Cato, Maxim Topaz
:
Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings. MIE 2024: 1652-1656 - [c49]Kenrick Cato
A Nursing Clinical Care Services Platform to Support Leadership Decision Making. Nursing Informatics 2024: 473-476 - 2023
- [j21]Ann M. Wieben, Rachel Lane Walden
Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Appl. Clin. Inform. 14(3): 585-593 (2023) - [j20]Amanda J. Moy
Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. J. Am. Medical Informatics Assoc. 30(5): 797-808 (2023) - [j19]Sena Chae
Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. J. Am. Medical Informatics Assoc. 30(10): 1622-1633 (2023) - [c48]David R. Kaufman
Navigating Infection Control Processes in a COVID-19 Only Safety-Net Hospital at the Height of the Pandemic. CSHI 2023: 67-71 - [c47]Mollie Hobensack, Jennifer Withall, Kenrick Cato
Understanding the Technical Implementation of a Clinical Decision Support SmartApp: A Qualitative Analysis. MedInfo 2023: 1382-1383 - [c46]Elizabeth M. Borycki
Modelling Information Needs and Sources in a COVID-19 Designated Hospital. MIE 2023: 881-885 - [c45]Yalini Senathirajah
Comparing Responses to COVID-19 Across Institutions: Conceptualization of an Emergency Response Maturity Model. MIE 2023: 907-908 - 2022
- [j18]Jennifer Withall, Jessica M. Schwartz, John Usseglio
A Scoping Review of Integrated Medical Devices and Clinical Decision Support in the Acute Care Setting. Appl. Clin. Inform. 13(5): 1223-1236 (2022) - [j17]Aviv Y. Landau
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study. J. Am. Medical Informatics Assoc. 29(3): 512-519 (2022) - [j16]Aviv Y. Landau
Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions. J. Am. Medical Informatics Assoc. 29(3): 576-580 (2022) - [j15]Mollie Hobensack
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians. J. Am. Medical Informatics Assoc. 29(5): 805-812 (2022) - [j14]Jiyoun Song
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care. J. Biomed. Informatics 128: 104039 (2022) - [c44]Hammaad Adam, Ming-Ying Yang, Kenrick Cato
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. AIES 2022: 7-21 - [c43]Sena Chae, Jiyoun Song, Yolanda Barrón, Kathy Bowles, Margaret V. McDonald, Sarah Collins Rossetti, Kenrick Cato, Mollie Hobensack, Lauren Evans, Maxim Topaz:
Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations. AMIA 2022 - [c42]Poli Debi, David R. Kaufman, Yalini Senathirajah, Elizabeth M. Borycki, André Kushniruk, Kenrick Cato, Pia Daniel, Patricia Roblin, Bonnie Arquilla:
Impact of COVID-19 on Infection Control in a Small Independent Hospital. AMIA 2022 - [c41]Courtney J. Diamond, Rachel Y. Lee, Jonathan Elias, Haomiao Jia, Erika L. Abramson, Jessica S. Ancker, Susan B. Bostwick, Kenrick Cato, Sarah Collins Rossetti:
Clinical Staff EHR Usability and Satisfaction: Preliminary Results of A Multi-Site, Pre-Post Implementation Evaluation. AMIA 2022 - [c40]Victor Castano Iraheta, Jennifer Withall, Jeremy Harper, Salvatore Crusco, Gregory Alexander, Fang Liu, Sarah Collins Rossetti, Kenrick Cato:
Evaluation of Vital Sign Concept Sets within N3C. AMIA 2022 - [c39]Rachel Y. Lee, Sarah Collins Rossetti, Kenrick Cato:
Differences in Frequencies of Nursing Flowsheet Documentation by Patients' Primary Language. AMIA 2022 - [c38]Amanda J. Moy, Kenrick Cato, Jennifer Withall, Nicholas P. Tatonetti, Eugene Y. Kim, Sarah Collins Rossetti:
Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files. AMIA 2022 - [c37]Amanda J. Moy, Jennifer Withall, Mollie Hobensack, Rachel Y. Lee, Deborah Levy, S. Trent Rosenbloom, Sarah Collins Rossetti, Kevin B. Johnson, Kenrick Cato:
Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs. AMIA 2022 - [c36]Jessica M. Schwartz, Maureen George, Sarah Collins Rossetti, Patricia C. Dykes, Simon Minshall, Eugene Lucas, Kenrick Cato:
Clinical Decision Support in the Era of Machine Learning: Gaining Trust. AMIA 2022 - [c35]Yalini Senathirajah, David R. Kaufman, Kenrick Cato, Elizabeth M. Borycki, André Kushniruk, Pia Daniel, Bonnie Arqulla, Patricia Roblin:
Assessing Pandemic Readiness to Promote Equity in Institutional Health IT. AMIA 2022 - [c34]Brittany N. Taylor, Sarah Collins Rossetti, Kenrick Cato:
Deterioration Events in Patients with Depression. AMIA 2022 - [c33]Elizabeth E. Umberfield, Kenrick Cato, Gillian Strudwick, Victoria Tiase, Marisa Wilson:
Leveraging Informatics as Support for the Well-being of the Nursing Workforce. AMIA 2022 - [i1]Hammaad Adam, Ming-Ying Yang, Kenrick Cato
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations. CoRR abs/2205.03931 (2022) - 2021
- [j13]Amanda J. Moy, Lucy Aaron, Kenrick D. Cato
Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden. Appl. Clin. Inform. 12(5): 1002-1013 (2021) - [j12]Amanda J. Moy, Jessica M. Schwartz, Jennifer Withall, Eugene Lucas, Kenrick D. Cato
Clinician and Health Care Leaders' Experiences with - and Perceptions of - COVID-19 Documentation Reduction Policies and Practices. Appl. Clin. Inform. 12(5): 1061-1073 (2021) - [j11]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, Jeffrey G. Klann, Kenrick Cato
Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. Int. J. Medical Informatics 153: 104525 (2021) - [j10]Jessica M. Schwartz
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. J. Am. Medical Informatics Assoc. 28(3): 653-663 (2021) - [j9]Amanda J. Moy
Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review. J. Am. Medical Informatics Assoc. 28(5): 998-1008 (2021) - [j8]Sarah Collins Rossetti
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. J. Am. Medical Informatics Assoc. 28(6): 1242-1251 (2021) - [j7]Li-heng Fu, Chris Knaplund, Kenrick Cato
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J. Am. Medical Informatics Assoc. 28(9): 1955-1963 (2021) - [j6]Jessica M. Schwartz
Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures. J. Am. Medical Informatics Assoc. 28(11): 2543-2544 (2021) - [j5]Jessica M. Schwartz
Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. J. Am. Medical Informatics Assoc. 28(11): 2545 (2021) - [c32]Rachel Y. Lee, Sarah Collins Rossetti, Jonathan Elias, Amanda J. Moy, Eugene Lucas, Jessica M. Schwartz, Erika L. Abramson, Jessica S. Ancker, Susan B. Bostwick, Kenrick Cato:
Assessing Clinical Staff Usability & Satisfaction Before and After an Electronic Health Records Implementation Using Health-ITUES. AMIA 2021 - [c31]Amanda J. Moy, Kenrick Cato, Christopher Knaplund, Patricia C. Dykes, Min-Jeoung Kang, Graham Lowenthal, Sarah Collins Rossetti:
Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients. AMIA 2021 - [c30]Sarah Collins Rossetti, Graham Lowenthal, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sandy Cho, Po-Yin Yen, Kenrick Cato:
Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units. AMIA 2021 - [c29]Jiyoun Song, Marietta Ojo, Margaret V. McDonald, Kenrick Cato, Sarah Collins Rossetti, Yolanda Barrón, Sridevi Sridharan, Sena Chae, Mollie Hobensack, Kathryn H. Bowles, Maxim Topaz:
Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care. AMIA 2021 - [c28]Brittany N. Taylor, Christopher Knaplund, Sarah Collins Rossetti, Kenrick Cato:
Supervised Machine Learning of Nursing Flowsheet Data to Identify a Signal of Racial Bias. AMIA 2021 - [c27]Jennifer Withall, Jessica M. Schwartz, John Usseglio, Kenrick Cato:
The Use of Integrated Medical Devices and Clinical Decision Support in the Acute Care Setting: A Scoping Review. AMIA 2021 - [c26]Yalini Senathirajah, Hwayoung Cho
Application of Natural Language Processing to Learn Insights on the Clinician's Lived Experience of Electronic Health Records. ICIMTH 2021: 81-84 - [c25]Shazia Mitha, Jessica M. Schwartz, Kenrick Cato
Natural Language Processing of Nursing Notes: A Systematic Review. Nursing Informatics 2021: 62-64 - 2020
- [j4]Min-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Kumiko O. Schnock, Jennifer Thate, Kimberly Whalen, Haomiao Jia, Jessica M. Schwartz, Jose P. Garcia, Christopher Knaplund, Kenrick D. Cato
Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology. Int. J. Medical Informatics 133 (2020) - [j3]Zfania Tom Korach, Jie Yang
Mining clinical phrases from nursing notes to discover risk factors of patient deterioration. Int. J. Medical Informatics 135: 104053 (2020) - [j2]Li-heng Fu
Development and validation of early warning score system: A systematic literature review. J. Biomed. Informatics 105: 103410 (2020) - [c24]Jonathan Elias, Amanda J. Moy, Eugene Lucas, Jessica M. Schwartz, Kenrick Cato, Erika L. Abramson, Jessica S. Ancker, Susan B. Bostwick, Sarah Collins Rossetti:
Assessing Clinical Staff Usability & Satisfaction with Documentation & Information Retrieval Prior to an Electronic Health Record Implementation. AMIA 2020 - [c23]Li-heng Fu, Christopher Knaplund, Kenrick Cato, David J. Albers, Sarah Collins Rossetti:
Utilizing Timestamps of Longitudinal Data from Electronic Health Record to Predict Clinical Deterioration Events. AMIA 2020 - [c22]Amanda J. Moy, Jessica M. Schwartz, Jonathan Elias, Seemab Imran, Eugene Lucas, Kenrick Cato, Sarah Collins Rossetti:
Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden. AMIA 2020 - [c21]Sarah Collins Rossetti, Amanda J. Moy, Min-Jeoung Kang, Jessica M. Schwartz, Kenrick Cato:
Mixed-Methods Approaches to Understanding, Measuring, and Reducing Clinical Documentation Burden. AMIA 2020 - [c20]Jessica M. Schwartz, Sarah Collins Rossetti, Kenrick Cato:
Clinician Involvement in Research on Machine-Learning-Based Clinical Decision Support for the Hospital Setting: A Scoping Review. AMIA 2020 - [c19]Jessica M. Schwartz, Kenrick Cato
Machine Learning Based Clinical Decision Support and Clinician Trust. ICHI 2020: 1
2010 – 2019
- 2019
- [j1]Zfania Tom Korach, Kenrick D. Cato
Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event. Appl. Clin. Inform. 10(05): 952-963 (2019) - [c18]Jose P. Garcia, Sarah Collins Rossetti, Kenrick Cato, Suzanne R. Bakken, Haomiao Jia, Min-Jeoung Kang, Christopher Knaplund, Patricia C. Dykes:
Factorial Design Survey Methodology on REDCap and Qualtrics: A Comparative Analysis. AMIA 2019 - [c17]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, Kumiko O. Schnock, Kenrick Cato:
Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case. AMIA 2019 - [c16]Jessica M. Schwartz, Jonathan Elias, Cody Slater, Kenrick Cato, Sarah Collins Rossetti:
An Interprofessional Approach to Workflow Evaluation Focused on the Electronic Health Record Using Time Motion Study Methods. AMIA 2019 - [c15]Maxim Topaz, Ludmila Murga, Ofrit Bar-Bachar, Kenrick Cato
Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data. MedInfo 2019: 1056-1060 - [c14]Jose P. Garci Jr., Sarah A. Collins, Kenrick D. Cato
CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform. MedInfo 2019: 1462-1463 - [c13]Yalini Senathirajah, Elizabeth M. Borycki, André Kushniruk, Kenrick Cato
Use of Eye-Tracking in Studies of EHR Usability - The Current State: A Scoping Review. MedInfo 2019: 1976-1977 - 2018
- [c12]Sarah A. Collins, Brittany Couture, Min-Jeoung Kang, Patricia C. Dykes, Kumiko O. Schnock, Christopher Knaplund, Frank Y. Chang, Kenrick Cato:
Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care. AMIA 2018 - [c11]Brittany Couture, Jeffrey G. Klann, Kenrick Cato, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sarah A. Collins:
Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site Study. AMIA 2018 - [c10]Min-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:
Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology. AMIA 2018 - 2017
- [c9]Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti:
The Use of Informatics to Reduce Disparities in Transgender Health. AMIA 2017 - [c8]Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti:
Deep recurrent neural networks identify transgender patients. AMIA 2017 - 2016
- [c7]Kenrick Cato, Adriana Arcia, Ruth M. Masterson Creber, Yalini Senathirajah, Sunmoo Yoon:
Visualization of Patient-reported Outcomes. AMIA 2016 - 2014
- [c6]Kenrick Cato, Suzanne Bakken:
Hispanic Patients' Role Preferences in Primary Care Treatment Decision Making. AMIA 2014 - 2013
- [c5]Kenrick Cato, Suzanne Bakken:
Patients' Self-Reported Desire to Participate in Shared Decision Making. AMIA 2013 - 2012
- [c4]Kenrick Cato, Suzanne Bakken:
What Am I Giving Tonight? Information Needs of Nurses Related To Patient Medications Administration While Using a Clinical Information System. Nursing Informatics 2012 - [c3]Rebecca Schnall, Kenrick Cato, Victoria Tiase, Olivia Velez:
Using Mobile Health Technology to Support Informatics Innovations. Nursing Informatics 2012 - [c2]Rebecca Schnall, Dean Wantland, Olivia Velez, Po-Yin Yen, Kenrick Cato, Suzanne Bakken:
Development and Testing of a Web-based Symptom Self-Management Tool for PLWH. Nursing Informatics 2012
2000 – 2009
- 2009
- [c1]Leanne M. Currie, Barbara Sheehan, Phillip L. Graham III, Peter D. Stetson, Kenrick Cato
Sociotechnical Analyis of a Neonatal ICU. Nursing Informatics 2009: 258-262
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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