User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications

Keyphrases

• 3-phase 25%
• Anesthesiologist 25%
• Anesthesiology 75%
• Assessment Phase 25%
• Card Sorting 25%
• Certified Registered nurse Anesthetist 25%
• Clinical Decisions 25%
• Clinical Outcomes 25%
• Concurrent Think-aloud 25%
• Design Framework 25%
• Display Interface 100%
• Electronic Health Records 50%
• Focus Group Interviews 25%
• High-fidelity Prototype 50%
• Human-computer Interface 25%
• Information Presentation 25%
• Learning Dashboards 100%
• Low-fidelity Prototyping 25%
• Machine Learning 100%
• Machine Learning Models 75%
• Machine Learning Prediction 25%
• Model Prediction 50%
• Modifiable Risk Factors 25%
• Needs Assessment 25%
• Open Source Code 25%
• Operational Decisions 25%
• Patient Assessment 75%
• Patient Risk 25%
• Phase Information 25%
• Prediction of Postoperative Complication 100%
• Process Outcomes 25%
• Resident Physicians 25%
• Risk Estimation 25%
• Simulated Patient 50%
• Sorting Activity 25%
• System Usability Scale 25%
• Textual Content 25%
• Usability Evaluation 25%
• Usability Problems 50%
• User Interface 25%
• User Needs 50%
• User Preference 25%
• User Workflow 25%
• User-centered Design 100%

Computer Science

• Assessment Phase 16%
• Clinical Outcome 16%
• Dashboards 100%
• Data Analysis Phase 16%
• Design Framework 16%
• Display Interface 66%
• Fidelity Prototype 50%
• Group Interview 16%
• Human Computer Interfaces 16%
• Learning System 100%
• Machine Learning 100%
• Model Prediction 33%
• Semistructured Interview 16%
• Simulated Patient 33%
• System Usability Scale 16%
• Textual Content 16%
• Usability Evaluation 16%
• Usability Problem 33%
• User Interface 16%
• User-Centered Design 100%