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)

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)

Health Information Technology Usability Methods Leveraged in Africa: A Scoping Review. - Kylie K. Dougherty; Mollie Hobensack; Suzanne Bakken (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)

Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs. - Amanda J. Moy; Jennifer Withall; Mollie Hobensack; Rachel Y. Lee; Deborah Levy; S. Trent Rosenbloom; Sarah Collins Rossetti; Kevin B. Johnson; Kenrick Cato (AMIA, 2022)

Developing a disease-specific symptom vocabulary for natural language processing. - Meghan Reading Turchioe; Winston Guo; Alexander Volodarskiy; Brittany Taylor; Mollie Hobensack; David Slotwiner; Jyotishman Pathak (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)

Understanding the Technical Implementation of a Clinical Decision Support SmartApp: A Qualitative Analysis. - Mollie Hobensack; Jennifer Withall; Kenrick Cato; Patricia C. Dykes; Graham Lowenthal; Sandy Cho; Catherine Ivory; Po-Yin Yen; Sarah Collins Rossetti (MedInfo, 2023)

Machine learning applied to electronic health record data in home healthcare: A scoping review. - Mollie Hobensack; Jiyoun Song; Danielle Scharp; Kathryn H. Bowles; Maxim Topaz (Int. J. Medical Informatics, 2023)

Scoping review of health information technology usability methods leveraged in Africa. - Kylie K. Dougherty; Mollie Hobensack; Suzanne Bakken (J. Am. Medical Informatics Assoc., 2023)

Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. - Amanda J. Moy; Mollie Hobensack; Kyle A. Marshall; David K. Vawdrey; Eugene Y. Kim; Kenrick D. Cato; Sarah Collins Rossetti (J. Am. Medical Informatics Assoc., 2023)

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)

Social Determinants Documented Across Individuals from Different Racial and Ethnic Groups in Home Healthcare. - Mollie Hobensack; Danielle Scharp; Jiyoun Song; Maxim Topaz (Nursing Informatics, 2024)

A Research Protocol: Mixed-Mode Designs to Optimize Engagement in Clinical Informatics Research. - Keely K. Wise; M. Brooke Schrimpf; Mollie Hobensack; Yihong Zhao 004; Lusine Poghosyan; Gregory L. Alexander (Nursing Informatics, 2024)

Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review. - Zidu Xu; Danielle Scharp; Mollie Hobensack; Jiancheng Ye; Jungang Zou; Sirui Ding; Jingjing Shang; Maxim Topaz (J. Am. Medical Informatics Assoc., 2025)