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Margaret V. McDonald
Person information
- affiliation: Visiting Nurse Service of New York, Center for Home Care Policy and Research, USA
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2020 – today
- 2024
- [j10]Anahita Davoudi
, Sena Chae
Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. Int. J. Medical Informatics 191: 105534 (2024) - [j9]Maryam Zolnoori, Sridevi Sridharan, Ali Zolnour, Sasha Vergez, Margaret V. McDonald, Zoran Kostic, Kathryn H. Bowles, Maxim Topaz:
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. J. Am. Medical Informatics Assoc. 31(2): 435-444 (2024) - [j8]Zidu Xu, Lauren Evans, Jiyoun Song, Sena Chae, Anahita Davoudi, Kathryn H. Bowles, Margaret V. McDonald, Maxim Topaz:
Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning. J. Am. Medical Informatics Assoc. 31(11): 2641-2650 (2024) - 2023
- [j7]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) - [j6]Jiyoun Song
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. J. Am. Medical Informatics Assoc. 30(11): 1801-1810 (2023) - 2022
- [j5]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) - [j4]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) - [c9]Sena Chae, Jiyoun Song, Yolanda Barrón, Kathryn H. 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 - [c8]Mollie Hobensack, Jiyoun Song, Sena Chae, Erin E. Kennedy, Maryam Zolnoori, Kathryn H. Bowles, Margaret V. McDonald, Lauren Evans, Maxim Topaz:
Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare. AMIA 2022 - [c7]Jingjing Shang, Carlin Brickner, Jiyoun Song, David Russell, Margaret V. McDonald, Dawn Dowding:
A Full and Approximated Model for Predicting Infection-Related Adverse Events in a Home Health Care Population. AMIA 2022 - [c6]Jiyoun Song, Maryam Zolnoori, Danielle Scharp, Sasha Vergez, Margaret V. McDonald, Sridevi Sridharan, Zoran Kostic, Maxim Topaz:
Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study. AMIA 2022 - 2021
- [j3]Dawn Dowding
"A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings. J. Am. Medical Informatics Assoc. 28(2): 334-341 (2021) - [c5]Mollie Hobensack, Jiyoun Song, Maryam Zolnoori, Marietta Ojo, Kathryn H. Bowles, Sena Chae, Erin E. Kennedy, Margaret V. McDonald, Maxim Topaz:
Identifying Narrative Documentation of Clinician Concern about Patient Deterioration in Home Healthcare: A Text Mining Study. AMIA 2021 - [c4]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 - [c3]Mollie Hobensack, Marietta Ojo, Kathryn H. Bowles, Margaret V. McDonald, Jiyoun Song, Maxim Topaz:
Home Healthcare Clinicians' Perspectives on Electronic Health Records: A Qualitative Study. Nursing Informatics 2021: 426-430
2010 – 2019
- 2019
- [j2]Maxim Topaz, Ludmila Murga, Katherine M. Gaddis, Margaret V. McDonald
Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches. J. Biomed. Informatics 90 (2019) - [c2]Yancy Lo, Selah F. Lynch, Ryan J. Urbanowicz
Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. MedInfo 2019: 684-688 - 2015
- [c1]Jonathan R. Nebeker, Walter P. Nichol, Shane McNamee, Jessica Murphy, James L. Hellewell, Reese Omizo, Kristian Johnson, Margaret V. McDonald, Kensaku Kawamoto, Guilherme Del Fiol, Emory Fry, Elaine Hunolt, Theresa Cullen, Scott D. Wood, Jennifer Herout, Charlene R. Weir:
Electronic Health Management Platform (eHMP): The Next Phase of VA's EHR. AMIA 2015 - 2013
- [j1]Margaret V. McDonald
Automating the medication regimen complexity index. J. Am. Medical Informatics Assoc. 20(3): 499-505 (2013)
Coauthor Index
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