Practical Isuues of 2-D Parallel Finite Element Analysis. - Michelle R. Hribar; Valerie E. Taylor (ICPP (3), 1994)

Balancing Load versus Decreasing Communication: Exploring the Tradeoffs. - Valerie E. Taylor; Bruce K. Holmer; Eric J. Schwabe; Michelle R. Hribar (HICSS (1), 1996)

A Comparison of Automatic Parallelization Tools/Compilers on the SGI Origin 2000. - Michael A. Frumkin; Michelle R. Hribar; Haoqiang Jin; Abdul Waheed; Jerry C. Yan (SC, 1998)

Termination Detection for Parallel Shortest Path Algorithms. - Michelle R. Hribar; Valerie E. Taylor; David E. Boyce (J. Parallel Distributed Comput., 1998)

Balancing Load versus Decreasing Communication: Parameterizing the Tradeoff. - Valerie E. Taylor; Eric J. Schwabe; Bruce K. Holmer; Michelle R. Hribar (J. Parallel Distributed Comput., 2001)

Implementing parallel shortest path for parallel transportation applications. - Michelle R. Hribar; Valerie E. Taylor; David E. Boyce (Parallel Comput., 2001)

Sure Fire Programming: a general framework for independent projects in Computer Science. - Michelle R. Hribar (J. Comput. Sci. Coll., 2005)

Using EHR Timestamps for Analyzing Ophthalmology Clinic Workflows. - Sarah Read-Brown; Michelle R. Hribar; Leah G. Reznick; Thomas R. Yackel; Michael F. Chiang (AMIA, 2014)

Drawn Together: Enhancing Patient Engagement and Improving Diagnostic Tools through Electronic Draw-and-Tell Conversation. - Deborah Woodcock; Steven S. Williamson; Dana Womack; Kimberley A. Gray; Kate Fultz Hollis; Michelle R. Hribar (AMIA, 2014)

Secondary Use of EHR Timestamp data: Validation and Application for Workflow Optimization. - Michelle R. Hribar; Sarah Read-Brown; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Thomas R. Yackel; Michael F. Chiang (AMIA, 2015)

Learning from the Data: Exploring a Hepatocellular Carcinoma Registry Using Visual Analytics to Improve Multidisciplinary Clinical Decision-Making. - Michelle R. Hribar; Deborah Woodcock; Lazaro N. Sanchez-Pinto; Kate Fultz Hollis; Gene Ren (AMIA, 2015)

Identification of Variables that Predict Visit Times for Analyzing Ophthalmology Clinic Workflows. - Sarah Read-Brown; Michelle R. Hribar; Grant Aaker; Leah G. Reznick; Thomas R. Yackel; Michael F. Chiang (AMIA, 2015)

Clinic Workflow Simulations using Secondary EHR Data. - Michelle R. Hribar; David A. Biermann; Sarah Read-Brown; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Thomas R. Yackel; Michael F. Chiang (AMIA, 2016)

Quantifying the Impact of Trainee Providers on Outpatient Clinic Workflow using Secondary EHR Data. - Isaac H. Goldstein; Michelle R. Hribar; Sarah Read-Brown; Michael F. Chiang (AMIA, 2017)

Evaluating and Improving an Outpatient Clinic Scheduling Template Using Secondary Electronic Health Record Data. - Michelle R. Hribar; Sarah Read-Brown; Leah G. Reznick; Michael F. Chiang (AMIA, 2017)

Exploration of Contextual Digital Data as a Source of Patient Safety Insight. - Dana M. Womack; Michelle R. Hribar; Paul Gorman (AMIA, 2017)

Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data. - Isaac H. Goldstein; Michelle R. Hribar; Leah G. Reznick; Michael F. Chiang (AMIA, 2018)

Clinical Documentation in Electronic Health Record Systems: Analysis of Patient Record Review During Outpatient Ophthalmology Visits. - Michelle R. Hribar; David A. Biermann; Isaac H. Goldstein; Michael F. Chiang (AMIA, 2018)

Clinical Documentation in Electronic Health Record Systems: Analysis of Similarity in Progress Notes from Consecutive Outpatient Ophthalmology Encounters. - Abigail Huang; Michelle R. Hribar; Isaac H. Goldstein; Brad Henriksen; Wei-Chun Lin; Michael F. Chiang (AMIA, 2018)

Secondary Use of Electronic Health Record Data for Prediction of Outpatient Visit Length in Ophthalmology Clinics. - Wei-Chun Lin; Isaac H. Goldstein; Michelle R. Hribar; Abigail Huang; Michael F. Chiang (AMIA, 2018)

Response to Letter: Secondary use of electronic health record data for clinical workflow analysis. - Michelle R. Hribar; Michael F. Chiang (J. Am. Medical Informatics Assoc., 2018)

Secondary use of electronic health record data for clinical workflow analysis. - Michelle R. Hribar; Sarah Read-Brown; Isaac H. Goldstein; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Michael F. Chiang (J. Am. Medical Informatics Assoc., 2018)

Advancing Common Approaches to Working with EHR Log Data. - Julia Adler-Milstein; You Chen 001; Michelle R. Hribar; Jennifer R. Popovic; J. Marc Overhage (AMIA, 2019)

Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning. - Wei-Chun Lin; Isaac H. Goldstein; Michelle R. Hribar; David S. Sanders; Michael F. Chiang (AMIA, 2019)

More Than Copy-Paste: Content-Importing in Clinical Documentation. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (AMIA, 2019)

Discovery of Nurse-Patient Assignment in Medication Dispensing Data. - Dana M. Womack; Michelle R. Hribar; Paul Gorman (AMIA, 2019)

Audit Logs Offer New Insights into Care Processes and Outcomes. - Julia Adler-Milstein; Christian Rose; Michael D. Wang; Michelle R. Hribar; Adam Rule (AMIA, 2020)

Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic. - Jimmy Chen; Isaac H. Goldstein; Wei-Chun Lin; Michael F. Chiang; Michelle R. Hribar (AMIA, 2020)

Methods for Large-Scale Quantitative Analysis of Scribe Impacts on Clinical Documentation. - Michelle R. Hribar; Haley Dusek; Isaac Goldstein; Adam Rule; Michael F. Chiang (AMIA, 2020)

Clinical Documentation as End-User Programming. - Adam Rule; Isaac H. Goldstein; Michael F. Chiang; Michelle R. Hribar (CHI, 2020)

Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era. - 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; et al. (Appl. Clin. Inform., 2020)

Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace. - Dana M. Womack; Michelle R. Hribar; Linsey M. Steege; Nancy H. Vuckovic; Deborah H. Eldredge; Paul N. Gorman (Appl. Clin. Inform., 2020)

Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2020)

Metrics for assessing physician activity using electronic health record log data. - 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 001; Julia Adler-Milstein; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2020)

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients. - Wei-Chun Lin; Jimmy Chen; Joel V. Kaluzny; Aiyin Chen; Michael F. Chiang; Michelle R. Hribar (AMIA, 2021)

Comparing Scribed and Non-scribed Outpatient Progress Notes. - Adam Rule; Sarah T. Florig; Steven Bedrick; Vishnu Mohan; Jeffrey Allen Gold; Michelle R. Hribar (AMIA, 2021)

Medical Scribes Have a Variable Impact on Documentation Workflows. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (MedInfo, 2021)

Measures of electronic health record use in outpatient settings across vendors. - Sally L. Baxter; Nate C. Apathy; Dori A. Cross; Christine A. Sinsky; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2021)

Frequent but fragmented: use of note templates to document outpatient visits at an academic health center. - Adam Rule; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2021)

Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. - Qingyu Chen 001; 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; et al. (AMIA, 2022)

Using EHR Audit Logs to Generate Provider Digital Phenotypes and Understand User Behavior Across the Professional Spectrum. - Julia Adler-Milstein; Michelle R. Hribar; Benjamin I. Rosner; Adam C. Dziorny; Mark V. Mai (AMIA, 2022)

Identifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings. - Deborah Levy; Amanda J. Moy; Nate C. Apathy; Julia Adler-Milstein; Lisa S. Rotenstein; Bidisha Nath; S. Trent Rosenbloom; Thomas George Kannampallil; Rebecca Grochow Mishuris; Aram Alexanian; Amber Sieja; Michelle R. Hribar; et al. (Appl. Clin. Inform., 2023)

Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; 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; et al. (CoRR, 2024)

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. - Wei-Chun Lin; Aiyin Chen; Xubo Song; Nicole Gray Weiskopf; Michael F. Chiang; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2024)

Guidance for reporting analyses of metadata on electronic health record use. - Adam Rule; Thomas George Kannampallil; Michelle R. Hribar; Adam C. Dziorny; Robert Thombley; Nate C. Apathy; Julia Adler-Milstein (J. Am. Medical Informatics Assoc., 2024)