AHFE Open AccessHighlighting Usability in Healthcare System Selection
Open Access
Article
Conference Proceedings
Authors: Nancy Lightner, Helen Fuller, Timothy Arnold
Abstract
When an organization plans to replace a healthcare information system, usability initially seems like a critical evaluation component. While leadership often cites “user experience” as important, as the organization must also consider other important components such as cost, functionality, and schedule, they may reduce the emphasis on usability. This paper presents a method to highlight usability concerns throughout the system selection process.
Keywords: Usability, Acquisition, Project Management, Electronic Health Record
DOI: 10.54941/ahfe1003493
Cite this paper
Downloads
655
Visits
1091
More from this volume
← Re-establishing the balance: A New Community-based Chronic Disease Management Service Model in ChinaUsability Evaluation of Intravascular Administration Set with Safety Lock Regulator to Prevent Medication Error →
- Artificial Intelligence in Healthcare: The Explainability Ethical Paradox
- Expanding Our Grasp: Artificial Intelligence as the Next Leap Forward in Healthcare Quality
- Posture correction girdle with intelligent padding system to dynamically adjust the pressure distribution and correct the scoliotic spine
- Augmented Reality in Heat Stroke Emergency Medical Developing Design
- Trends in residents’ factual descriptions six months after refresher training in writing medical incident reports
- Usability Validation of Complex Medical Systems
- HealthGate: unobtrusive home monitoring of vital signs, weight and mobility of the elderly
- A Taxonomy of Situation Awareness Failure Factors in Primary Care
- Design of Children's Wearable Moxibustion Instrument Based on Emotional Design Theory
- Interface design for 360°real scenes-based virtual reality system with pedaling devices
- The impact of prevalent behavioural mimicry in adolescents on disease prevention and maintenance of healthy behavioural activation
- A virtual training system based on human information processing model for improving mild cognitive impairment (MCI)