The interface is often not the problem
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Heuristic evaluation of user interfaces
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding usability problems through heuristic evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usability inspection methods
The trouble with computers
The GOMS family of user interface analysis techniques: comparison and contrast
ACM Transactions on Computer-Human Interaction (TOCHI)
A representational analysis of relational information displays
International Journal of Human-Computer Studies
Connecting the design of software to the design
Communications of the ACM
Usability Engineering
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Designing Human-Centered Distributed Information Systems
IEEE Intelligent Systems
Using usability heuristics to evaluate patient safety of medical devices
Journal of Biomedical Informatics - Patient safety
Cognitive and usability engineering methods for the evaluation of clinical information systems
Journal of Biomedical Informatics
Predicting task execution time on handheld devices using the keystroke-level model
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Guest editorial: human-centered computing in health information systems. Part 1: Analysis and design
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
A user-centered framework for redesigning health care interfaces
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
Guest editorial: human-centered computing in health information systems. Part 2: Evaluation
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 2: Evaluation
Observing the User Experience: A Practitioner's Guide to User Research (Morgan Kaufmann Series in Interactive Technologies) (The Morgan Kaufmann Series in Interactive Technologies)
Work-centered design: a case study of a mixed-initiative scheduler
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of Biomedical Informatics
Analyzing human-computer interaction as distributed cognition: the resources model
Human-Computer Interaction
Journal of Biomedical Informatics
Design models for interactive problem-solving: context & ontology, representation & routines
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Documenting transitional information in EMR
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ontology models for interaction design: case study of online support
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Opportunistic decision making and complexity in emergency care
Journal of Biomedical Informatics
DHM'13 Proceedings of the 4th International conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: healthcare and safety of the environment and transport - Volume Part I
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This paper presents a unified framework of EHR usability, called TURF, which is (1) a theory for describing, explaining, and predicting usability differences; (2) a method for defining, evaluating, and measuring usability objectively; (3) a process for designing built-in good usability; and (4) once fully developed, a potential principle for developing EHR usability guidelines and standards. TURF defines usability as how useful, usable, and satisfying a system is for the intended users to accomplish goals in the work domain by performing certain sequences of tasks. TURF provides a set of measures for each of the useful, usable, and satisfying dimensions of usability. TURF stands for task, user, representation, and function, which are the four components that determine the usability of an EHR system. These four components are described with theoretical descriptions along with examples of how usability is measured in several case studies. How TURF can be used to improve usability through redesign is also demonstrated in a case study. In summary, this paper states that usability can not only be defined scientifically under a coherent, unified framework, it can also be measured objectively and systematically.