Lukasz Mazur

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Usability Evaluation

Healthcare Providers

Machine Learning

Discrete Event Simulation

Top Venues

Int. J. Hum. Comput. Interact.

Publications

Karthik Adapa, Gregg Tracton, Prithima Mosaly, Fei Yu, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur
Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. HCI (24) (2023)
Amy Cole, Amro Khasawneh, Karthik Adapa, Lukasz Mazur, Daniel R. Richardson
Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies. HCI (30) (2022)
Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS (2022)
Malvika Pillai, Karthik Adapa, Lukasz Mazur
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. AMIA (2022)
Karthik Adapa, Gregg Tracton, Prithima Mosaly, Fei Yu, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur
Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. HCI (19) (2022)
Elizabeth Kwong, Amy Cole, Amro Khasawneh, Carl Mhina, Lukasz Mazur, Karthik Adapa, Daniel R. Richardson
Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. VAHC (2022)
Meagan Foster, Karthik Adapa, Amy Cole, Amro Khasawneh, Anna Soloway, Jeffrey Francki, Nancy Havill, Lukasz Mazur
Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings. HCI (26) (2022)
Karthik Adapa, Malvika Pillai, Meagan Foster, Nadia Charguia, Lukasz Mazur
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE (2022)
Meagan Foster, Karthik Adapa, Anna Soloway, Jeffrey Francki, Sara Stokes, Lukasz Mazur
Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance. MedInfo (2021)
Karthik Adapa, Malvika Pillai, Shiva K. Das, Prithima Mosaly, Lukasz Mazur
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. MedInfo (2021)
Malvika Pillai, Karthik Adapa, John W. Shumway, John Dooley, Shiva K. Das, Bhishamjit S. Chera, Lukasz Mazur
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. MedInfo (2021)
Karthik Adapa, Shiva K. Das, Prithima Reddy, Fei Yu, Carlton Moore, Lukasz Mazur
Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. AMIA (2021)
Natalie Grace Castellano, Prithima Mosaly, Lukasz Mazur
Association Between Physicians' Burden and Performance During Interactions with Electronic Health Records (EHRs). AHFE (2) (2019)
Prithima Mosaly, Hua Guo, Lukasz Mazur
Toward Better Understanding of Task Difficulty during Physicians' Interaction with Electronic Health Record System (EHRs). Int. J. Hum. Comput. Interact. 35 (20) (2019)
Prithima Mosaly, Lukasz Mazur, Fei Yu, Hua Guo, Derek Merck, David H. Laidlaw, Carlton Moore, Lawrence B. Marks, Javed Mostafa
Relating Task Demand, Mental Effort and Task Difficulty with Physicians' Performance during Interactions with Electronic Health Records (EHRs). Int. J. Hum. Comput. Interact. 34 (5) (2018)
Lukasz Mazur, Prithima Mosaly, Carlton Moore, Elizabeth Comitz, Fei Yu, Aaron D. Falchook, Michael J. Eblan, Lesley M. Hoyle, Gregg Tracton, Bhishamjit S. Chera, Lawrence B. Marks
Toward a better understanding of task demands, workload, and performance during physician-computer interactions. J. Am. Medical Informatics Assoc. 23 (6) (2016)
Prithima Mosaly, Lukasz Mazur, Lawrence B. Marks
Usability Evaluation of Electronic Health Record System (EHRs) using Subjective and Objective Measures. CHIIR (2016)
Pegah Pooya, Julie S. Ivy, Lukasz Mazur, Katharin Deschesne, Prithima Mosaly, Gregg Tracton, Nishant Singh
Assessing the reliability of the radiation therapy care delivery process using discrete event simulation. WSC (2014)