AHFE Open AccessIncorporating Human Factors Methods into Healthcare Process Improvement Work
Abstract
Utilizing human factors engineering (HFE) methods and a human-centered design (HCD) process can be valuable in improving the functionality and safety of a system, process, or other product. While some HFE methods require advanced training for optimal use, others may be employed more easily or may be adapted for easier use. We identified HFE methods that appear most important for successful system design, found opportunities for deployment in existing redesign efforts, and developed education materials and tools to simplify their use with the intention of facilitating incorporation of these HFE methods into healthcare process improvement work.
Keywords: Human-Centered Design, Healthcare Human Factors, Systems Redesign, Usability Tools, Human Factors Education
DOI: 10.54941/ahfe1004850
Cite this paper
More from this volume
- Exploring Intraoperative Cognitive Biases in Cardiac Surgery Teams
- A Structured Approach to Clinical Pathway Mapping (CPM): a Case Study of a Postoperative Patient Controlled Analgesia (PCA) pump
- Challenges and Uncertainties in Violence Risk Assessment: A Critical Examination of Practice and National Guidelines in Norway's Specialist Mental Health Services
- Artificial Intelligence in Medication Management for Alzheimer's Patients in China
- Exploring Self-Medication Practices Among Undergraduate University Students: A Qualitative Descriptive Study
- Exploring the Usability and User Experience of the Symptom Checker Interface
- Explainable Hybrid Machine Learning Technique for Healthcare Service Utilization
- Enhancing Accessibility in Mexican Healthcare: A Versatile Lift and Walking Aid System
- Muse Alpha: AI-based Preliminary Diagnosis for Cognitive Thought Patterns
- Patient Centered Care: Medical Error Disclosure Guidelines Across Canada
- Stepped Wedge Design Analyses under Pandemic`s Period Effect: Alternative Approach using Non-specific Neck Pain Intervention Data
- Evaluation of Patient Stress During Mammograms through Surface Electromyography Analysis