Automating the medication regimen complexity index. - Margaret V. McDonald; Timothy R. Peng; Sridevi Sridharan; Janice B. Foust; Polina Kogan; Liliana E. Pezzin; Penny H. Feldman (J. Am. Medical Informatics Assoc., 2013)

Electronic Health Management Platform (eHMP): The Next Phase of VA's EHR. - 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; et al. (AMIA, 2015)

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. - Yancy Lo; Selah F. Lynch; Ryan J. Urbanowicz; Randal S. Olson; Ashley Z. Ritter; Christina R. Whitehouse; Melissa O'Connor; Susan K. Keim; Margaret V. McDonald; Jason H. Moore; Kathryn H. Bowles (MedInfo, 2019)

Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches. - Maxim Topaz; Ludmila Murga; Katherine M. Gaddis; Margaret V. McDonald; Ofrit Bar-Bachar; Yoav Goldberg; Kathryn H. Bowles (J. Biomed. Informatics, 2019)

Identifying Narrative Documentation of Clinician Concern about Patient Deterioration in Home Healthcare: A Text Mining Study. - Mollie Hobensack; Jiyoun Song; Maryam Zolnoori; Marietta Ojo; Kathryn H. Bowles; Sena Chae; Erin E. Kennedy; Margaret V. McDonald; Maxim Topaz (AMIA, 2021)

Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care. - 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 (AMIA, 2021)

Home Healthcare Clinicians' Perspectives on Electronic Health Records: A Qualitative Study. - Mollie Hobensack; Marietta Ojo; Kathryn H. Bowles; Margaret V. McDonald; Jiyoun Song; Maxim Topaz (Nursing Informatics, 2021)

"A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings. - Dawn Dowding; David Russell 003; Margaret V. McDonald; Marygrace Trifilio; Jiyoun Song; Carlin Brickner; Jingjing Shang (J. Am. Medical Informatics Assoc., 2021)

Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations. - Sena Chae; Jiyoun Song; Yolanda Barrón; Kathryn H. Bowles; Margaret V. McDonald; Sarah Collins Rossetti; Kenrick Cato; Mollie Hobensack; Lauren Evans; Maxim Topaz (AMIA, 2022)

Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare. - Mollie Hobensack; Jiyoun Song; Sena Chae; Erin E. Kennedy; Maryam Zolnoori; Kathryn H. Bowles; Margaret V. McDonald; Lauren Evans; Maxim Topaz (AMIA, 2022)

A Full and Approximated Model for Predicting Infection-Related Adverse Events in a Home Health Care Population. - Jingjing Shang; Carlin Brickner; Jiyoun Song; David Russell 003; Margaret V. McDonald; Dawn Dowding (AMIA, 2022)

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. - Jiyoun Song; Maryam Zolnoori; Danielle Scharp; Sasha Vergez; Margaret V. McDonald; Sridevi Sridharan; Zoran Kostic; Maxim Topaz (AMIA, 2022)

Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians. - Mollie Hobensack; Marietta Ojo; Yolanda Barrón; Kathryn H. Bowles; Kenrick Cato; Sena Chae; Erin E. Kennedy; Margaret V. McDonald; Sarah Collins Rossetti; Jiyoun Song; Sridevi Sridharan; Maxim Topaz (J. Am. Medical Informatics Assoc., 2022)

Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care. - Jiyoun Song; Mollie Hobensack; Kathryn H. Bowles; Margaret V. McDonald; Kenrick Cato; Sarah Collins Rossetti; Sena Chae; Erin E. Kennedy; Yolanda Barrón; Sridevi Sridharan; Maxim Topaz (J. Biomed. Informatics, 2022)

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. - Sena Chae; Anahita Davoudi; Jiyoun Song; Lauren Evans; Mollie Hobensack; Kathryn H. Bowles; Margaret V. McDonald; Yolanda Barrón; Sarah Collins Rossetti; Kenrick Cato; Sridevi Sridharan; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. - Jiyoun Song; Se Hee Min; Sena Chae; Kathryn H. Bowles; Margaret V. McDonald; Mollie Hobensack; Yolanda Barrón; Sridevi Sridharan; Anahita Davoudi; Sungho Oh; Lauren Evans; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. - Anahita Davoudi; Sena Chae; Lauren Evans; Sridevi Sridharan; Jiyoun Song; Kathryn H. Bowles; Margaret V. McDonald; Maxim Topaz (Int. J. Medical Informatics, 2024)

Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning. - Zidu Xu; Lauren Evans; Jiyoun Song; Sena Chae; Anahita Davoudi; Kathryn H. Bowles; Margaret V. McDonald; Maxim Topaz (J. Am. Medical Informatics Assoc., 2024)

Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. - Maryam Zolnoori; Sridevi Sridharan; Ali Zolnour; Sasha Vergez; Margaret V. McDonald; Zoran Kostic; Kathryn H. Bowles; Maxim Topaz (J. Am. Medical Informatics Assoc., 2024)

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. - Maryam Zolnoori; Ali Zolnour; Sasha Vergez; Sridevi Sridharan; Ian Spens; Maxim Topaz; James M. Noble; Suzanne Bakken; Julia Hirschberg; Kathryn H. Bowles; Nicole Onorato; Margaret V. McDonald (J. Am. Medical Informatics Assoc., 2025)