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ORCIDMollie Hobensack
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2020 – today
- 2024
[c11]Keely K. Wise, M. Brooke Schrimpf, Mollie Hobensack
, Yihong Zhao, Lusine Poghosyan, Gregory L. Alexander:
A Research Protocol: Mixed-Mode Designs to Optimize Engagement in Clinical Informatics Research. Nursing Informatics 2024: 709-710- [c10]Mollie Hobensack, Danielle Scharp, Jiyoun Song, Maxim Topaz:
Social Determinants Documented Across Individuals from Different Racial and Ethnic Groups in Home Healthcare. Nursing Informatics 2024: 733-734 - 2023
- [j7]Mollie Hobensack, Jiyoun Song, Danielle Scharp, Kathryn H. Bowles, Maxim Topaz:
Machine learning applied to electronic health record data in home healthcare: A scoping review. Int. J. Medical Informatics 170: 104978 (2023) - [j6]Kylie K. Dougherty, Mollie Hobensack, Suzanne Bakken:
Scoping review of health information technology usability methods leveraged in Africa. J. Am. Medical Informatics Assoc. 30(4): 726-737 (2023) - [j5]Amanda J. Moy, Mollie Hobensack, Kyle A. Marshall, David K. Vawdrey, Eugene Y. Kim, Kenrick D. Cato, Sarah Collins Rossetti:
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) - [j4]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:
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) - [j3]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:
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) - [c9]Mollie Hobensack, Jennifer Withall, Kenrick Cato, Patricia C. Dykes, Graham Lowenthal, Sandy Cho, Catherine Ivory, Po-Yin Yen, Sarah Collins Rossetti:
Understanding the Technical Implementation of a Clinical Decision Support SmartApp: A Qualitative Analysis. MedInfo 2023: 1382-1383 - 2022
- [j2]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:
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) - [j1]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:
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) - [c8]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 - [c7]Kylie K. Dougherty, Mollie Hobensack, Suzanne Bakken:
Health Information Technology Usability Methods Leveraged in Africa: A Scoping Review. AMIA 2022 - [c6]Mollie Hobensack, Jiyoun Song, Sena Chae, Erin E. Kennedy, Maryam Zolnoori, Kathy Bowles, Margaret V. McDonald, Lauren Evans, Maxim Topaz:
Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare. AMIA 2022 - [c5]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 - [c4]Meghan Reading Turchioe, Winston Guo, Alexander Volodarskiy, Brittany Taylor, Mollie Hobensack, David Slotwiner, Jyotishman Pathak:
Developing a disease-specific symptom vocabulary for natural language processing. AMIA 2022 - 2021
- [c3]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 - [c2]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 - [c1]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
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