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ORCIDMichelle R. Hribar
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Journal Articles
- 2024
[j13]Wei-Chun Lin
, Aiyin Chen, Xubo Song, Nicole Gray Weiskopf, Michael F. Chiang, Michelle R. Hribar:
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. J. Am. Medical Informatics Assoc. 31(2): 456-464 (2024)- [j12]Adam Rule, Thomas George Kannampallil, Michelle R. Hribar, Adam C. Dziorny, Robert Thombley, Nate C. Apathy, Julia Adler-Milstein:
Guidance for reporting analyses of metadata on electronic health record use. J. Am. Medical Informatics Assoc. 31(3): 784-789 (2024) - 2021
- [j11]Sally L. Baxter, Nate C. Apathy, Dori A. Cross, Christine A. Sinsky, Michelle R. Hribar:
Measures of electronic health record use in outpatient settings across vendors. J. Am. Medical Informatics Assoc. 28(5): 955-959 (2021) - [j10]Adam Rule, Michelle R. Hribar:
Frequent but fragmented: use of note templates to document outpatient visits at an academic health center. J. Am. Medical Informatics Assoc. 29(1): 137-141 (2021) - 2020
- [j9]Sally L. Baxter, Helena E. Gali, Michael F. Chiang, Michelle R. Hribar, Lucila Ohno-Machado, Robert El-Kareh, Abigail E. Huang, Heather E. Chen, Andrew Camp, Don O. Kikkawa, Bobby S. Korn, Jeffrey E. Lee, Christopher A. Longhurst, Marlene Millen:
Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era. Appl. Clin. Inform. 11(01): 130-141 (2020) - [j8]Dana M. Womack, Michelle R. Hribar, Linsey M. Steege, Nancy H. Vuckovic, Deborah H. Eldredge, Paul N. Gorman:
Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace. Appl. Clin. Inform. 11(04): 598-605 (2020) - [j7]Adam Rule, Michael F. Chiang, Michelle R. Hribar:
Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods. J. Am. Medical Informatics Assoc. 27(3): 480-490 (2020) - [j6]Christine A. Sinsky, Adam Rule, Genna R. Cohen, Brian G. Arndt, Tait D. Shanafelt, Christopher D. Sharp, Sally L. Baxter, Ming Tai-Seale, Sherry H. F. Yan, You Chen, Julia Adler-Milstein, Michelle R. Hribar:
Metrics for assessing physician activity using electronic health record log data. J. Am. Medical Informatics Assoc. 27(4): 639-643 (2020) - 2018
- [j5]Michelle R. Hribar, Sarah Read-Brown, Isaac H. Goldstein, Leah G. Reznick, Lorinna Lombardi, Mansi Parikh, Winston Chamberlain, Michael F. Chiang:
Secondary use of electronic health record data for clinical workflow analysis. J. Am. Medical Informatics Assoc. 25(1): 40-46 (2018) - [j4]Michelle R. Hribar, Michael F. Chiang:
Response to Letter: Secondary use of electronic health record data for clinical workflow analysis. J. Am. Medical Informatics Assoc. 25(7): 920 (2018) - 2001
- [j3]Valerie E. Taylor, Eric J. Schwabe, Bruce K. Holmer, Michelle R. Hribar:
Balancing Load versus Decreasing Communication: Parameterizing the Tradeoff. J. Parallel Distributed Comput. 61(5): 567-580 (2001) - [j2]Michelle R. Hribar, Valerie E. Taylor, David E. Boyce:
Implementing parallel shortest path for parallel transportation applications. Parallel Comput. 27(12): 1537-1568 (2001) - 1998
- [j1]Michelle R. Hribar, Valerie E. Taylor, David E. Boyce:
Termination Detection for Parallel Shortest Path Algorithms. J. Parallel Distributed Comput. 55(2): 153-165 (1998)
Conference and Workshop Papers
- 2022
- [c29]Qingyu Chen, Tiarnan D. Keenan, Alexis Allot, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Arnold Oshinsky, Brittany E. Powell, Boonkit Purt, Soo Shin, Hillary Steifel, Alisa T. Thavikulwat, Keith Wroblewski, Sirisha Koirala, Tom Murickan, Michael F. Chiang, Michelle R. Hribar, Emily Y. Chew, Zhiyong Lu:
Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. AMIA 2022 - [c28]Julia Adler-Milstein, Michelle R. Hribar, Benjamin I. Rosner, Adam C. Dziorny, Mark V. Mai:
Using EHR Audit Logs to Generate Provider Digital Phenotypes and Understand User Behavior Across the Professional Spectrum. AMIA 2022 - 2021
- [c27]Wei-Chun Lin, Jimmy Chen, Joel V. Kaluzny, Aiyin Chen, Michael F. Chiang, Michelle R. Hribar:
Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients. AMIA 2021 - [c26]Adam Rule, Sarah T. Florig, Steven Bedrick, Vishnu Mohan, Jeffrey Allen Gold, Michelle R. Hribar:
Comparing Scribed and Non-scribed Outpatient Progress Notes. AMIA 2021 - [c25]Adam Rule, Michael F. Chiang, Michelle R. Hribar:
Medical Scribes Have a Variable Impact on Documentation Workflows. MedInfo 2021: 892-896 - 2020
- [c24]Julia Adler-Milstein, Christian Rose, Michael D. Wang, Michelle R. Hribar, Adam Rule:
Audit Logs Offer New Insights into Care Processes and Outcomes. AMIA 2020 - [c23]Jimmy Chen, Isaac H. Goldstein, Wei-Chun Lin, Michael F. Chiang, Michelle R. Hribar:
Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic. AMIA 2020 - [c22]Michelle R. Hribar, Haley Dusek, Isaac Goldstein, Adam Rule, Michael F. Chiang:
Methods for Large-Scale Quantitative Analysis of Scribe Impacts on Clinical Documentation. AMIA 2020 - [c21]Adam Rule, Isaac H. Goldstein, Michael F. Chiang, Michelle R. Hribar:
Clinical Documentation as End-User Programming. CHI 2020: 1-13 - 2019
- [c20]Julia Adler-Milstein, You Chen, Michelle R. Hribar, Jennifer R. Popovic, J. Marc Overhage:
Advancing Common Approaches to Working with EHR Log Data. AMIA 2019 - [c19]Wei-Chun Lin, Isaac H. Goldstein, Michelle R. Hribar, David S. Sanders, Michael F. Chiang:
Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning. AMIA 2019 - [c18]Adam Rule, Michael F. Chiang, Michelle R. Hribar:
More Than Copy-Paste: Content-Importing in Clinical Documentation. AMIA 2019 - [c17]Dana M. Womack, Michelle R. Hribar, Paul Gorman:
Discovery of Nurse-Patient Assignment in Medication Dispensing Data. AMIA 2019 - 2018
- [c16]Isaac H. Goldstein, Michelle R. Hribar, Leah G. Reznick, Michael F. Chiang:
Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data. AMIA 2018 - [c15]Michelle R. Hribar, David A. Biermann, Isaac H. Goldstein, Michael F. Chiang:
Clinical Documentation in Electronic Health Record Systems: Analysis of Patient Record Review During Outpatient Ophthalmology Visits. AMIA 2018 - [c14]Abigail Huang, Michelle R. Hribar, Isaac H. Goldstein, Brad Henriksen, Wei-Chun Lin, Michael F. Chiang:
Clinical Documentation in Electronic Health Record Systems: Analysis of Similarity in Progress Notes from Consecutive Outpatient Ophthalmology Encounters. AMIA 2018 - [c13]Wei-Chun Lin, Isaac H. Goldstein, Michelle R. Hribar, Abigail Huang, Michael F. Chiang:
Secondary Use of Electronic Health Record Data for Prediction of Outpatient Visit Length in Ophthalmology Clinics. AMIA 2018 - 2017
- [c12]Isaac H. Goldstein, Michelle R. Hribar, Sarah Read-Brown, Michael F. Chiang:
Quantifying the Impact of Trainee Providers on Outpatient Clinic Workflow using Secondary EHR Data. AMIA 2017 - [c11]Michelle R. Hribar, Sarah Read-Brown, Leah G. Reznick, Michael F. Chiang:
Evaluating and Improving an Outpatient Clinic Scheduling Template Using Secondary Electronic Health Record Data. AMIA 2017 - [c10]Dana M. Womack, Michelle R. Hribar, Paul Gorman:
Exploration of Contextual Digital Data as a Source of Patient Safety Insight. AMIA 2017 - 2016
- [c9]Michelle R. Hribar, David A. Biermann, Sarah Read-Brown, Leah G. Reznick, Lorinna Lombardi, Mansi Parikh, Winston Chamberlain, Thomas R. Yackel, Michael F. Chiang:
Clinic Workflow Simulations using Secondary EHR Data. AMIA 2016 - 2015
- [c8]Michelle R. Hribar, Sarah Read-Brown, Leah G. Reznick, Lorinna Lombardi, Mansi Parikh, Thomas R. Yackel, Michael F. Chiang:
Secondary Use of EHR Timestamp data: Validation and Application for Workflow Optimization. AMIA 2015 - [c7]Michelle R. Hribar, Deborah Woodcock, Lazaro N. Sanchez-Pinto, Kate Fultz Hollis, Gene Ren:
Learning from the Data: Exploring a Hepatocellular Carcinoma Registry Using Visual Analytics to Improve Multidisciplinary Clinical Decision-Making. AMIA 2015 - [c6]Sarah Read-Brown, Michelle R. Hribar, Grant Aaker, Leah G. Reznick, Thomas R. Yackel, Michael F. Chiang:
Identification of Variables that Predict Visit Times for Analyzing Ophthalmology Clinic Workflows. AMIA 2015 - 2014
- [c5]Sarah Read-Brown, Michelle R. Hribar, Leah G. Reznick, Thomas R. Yackel, Michael F. Chiang:
Using EHR Timestamps for Analyzing Ophthalmology Clinic Workflows. AMIA 2014 - [c4]Deborah Woodcock, Steven S. Williamson, Dana Womack, Kimberley A. Gray, Kate Fultz Hollis, Michelle R. Hribar:
Drawn Together: Enhancing Patient Engagement and Improving Diagnostic Tools through Electronic Draw-and-Tell Conversation. AMIA 2014 - 1998
- [c3]Michael A. Frumkin, Michelle R. Hribar, Haoqiang Jin, Abdul Waheed, Jerry C. Yan:
A Comparison of Automatic Parallelization Tools/Compilers on the SGI Origin 2000. SC 1998: 39 - 1996
- [c2]Valerie E. Taylor, Bruce K. Holmer, Eric J. Schwabe, Michelle R. Hribar:
Balancing Load versus Decreasing Communication: Exploring the Tradeoffs. HICSS (1) 1996: 585-593 - 1994
- [c1]Michelle R. Hribar, Valerie E. Taylor:
Practical Isuues of 2-D Parallel Finite Element Analysis. ICPP (3) 1994: 64-68
Informal and Other Publications
- 2024
- [i1]Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong, Amr S. Elsawy, Benjamin Hou, Cancan Xue, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Luis Haddock, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Dimosthenis Mantopoulos, Mitul C. Mehta, Ayman G. Nahri, Mutaz AL-Nawaflh, Arnold Oshinsky, Brittany E. Powell, Boonkit Purt, Soo Shin, Hillary Stiefel, Alisa T. Thavikulwat, Keith Wroblewski, Tham Yih Chung, Chui Ming Gemmy Cheung, Ching-Yu Cheng, Emily Y. Chew, Michelle R. Hribar, Michael F. Chiang, Zhiyong Lu:
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. CoRR abs/2409.15087 (2024)
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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