Exploring the Effect of Pre-operational Priming Intervention on Number Entry Errors

Li, Yunqiu; Oladimeji, Patrick; Thimbleby, Harold

doi:10.1145/2702123.2702477

Cited by 3 publications

(2 citation statements)

References 21 publications

(18 reference statements)

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“…Although we attempted to minimize this limitation by asking users to carry the device in only one hand, the fact that the numbers to enter were provided directly on the smartphone did not reflect real-life situations, where numbers are more likely to be read from another source. We chose this method of data delivery to exclude errors that might otherwise arise when transcribing data from one place to another [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Usability of Six Data Entry Mobile Interfaces for Caregivers: A Randomized Trial

Ehrler¹,

Haller²,

Sarrey³

et al. 2015

JMIR Human Factors

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BackgroundThere is an increased demand in hospitals for tools, such as dedicated mobile device apps, that enable the recording of clinical information in an electronic format at the patient’s bedside. Although the human-machine interface design on mobile devices strongly influences the accuracy and effectiveness of data recording, there is still a lack of evidence as to which interface design offers the best guarantee for ease of use and quality of recording. Therefore, interfaces need to be assessed both for usability and reliability because recording errors can seriously impact the overall level of quality of the data and affect the care provided.ObjectiveIn this randomized crossover trial, we formally compared 6 handheld device interfaces for both speed of data entry and accuracy of recorded information. Three types of numerical data commonly recorded at the patient’s bedside were used to evaluate the interfaces.MethodsIn total, 150 health care professionals from the University Hospitals of Geneva volunteered to record a series of randomly generated data on each of the 6 interfaces provided on a smartphone. The interfaces were presented in a randomized order as part of fully automated data entry scenarios. During the data entry process, accuracy and effectiveness were automatically recorded by the software.ResultsVarious types of errors occurred, which ranged from 0.7% for the most reliable design to 18.5% for the least reliable one. The length of time needed for data recording ranged from 2.81 sec to 14.68 sec, depending on the interface. The numeric keyboard interface delivered the best performance for pulse data entry with a mean time of 3.08 sec (SD 0.06) and an accuracy of 99.3%.ConclusionsOur study highlights the critical impact the choice of an interface can have on the quality of recorded data. Selecting an interface should be driven less by the needs of specific end-user groups or the necessity to facilitate the developer’s task (eg, by opting for default solutions provided by commercial platforms) than by the level of speed and accuracy an interface can provide for recording information. An important effort must be made to properly validate mobile device interfaces intended for use in the clinical setting. In this regard, our study identified the numeric keyboard, among the proposed designs, as the most accurate interface for entering specific numerical values. This is an important step toward providing clearer guidelines on which interface to choose for the appropriate use of handheld device interfaces in the health care setting.

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Section: Discussionmentioning

confidence: 99%

Assessing the Usability of Six Data Entry Mobile Interfaces for Caregivers: A Randomized Trial

Ehrler¹,

Haller²,

Sarrey³

et al. 2015

JMIR Human Factors

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“…It can also help them correct mistakes. In particular, people made far fewer errors after being asked questions about the format of the number, its quantity, and the context of the number entry task [6].…”

Section: Focussing On the Numbersmentioning

confidence: 99%

Safer Interactive Medical Device Design: Insights from the CHI+MED Project

Curzon¹,

Blandford²,

Thimbleby³

et al. 2015

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare

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Interactive medical devices such as infusion pumps, monitors and diagnostic devices help save lives. However, they may also fail in use and patient harm ensue. It is not just that the software and hardware should meet their specification. The design should help ensure users do not make mistakes. Safety factors are more important as medical devices become mobile and are used by patients as part of their everyday life rather than by trained professionals in well-defined hospital environments. Regulators are increasingly taking home-use seriously as a result of device recalls due to devices that have caused patient harm. We give insights from the research on the CHI+MED project (www.chi-med.ac.uk). It has focussed on understanding how the design of interactive medical devices can support safety. CHI+MED also developed practical tools and guidance that we review.

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State of the Art on Formal Methods for Interactive Systems

Oliveira¹,

Palanque²,

Weyers³

et al. 2017

Human–Computer Interaction Series

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This chapter provides an overview of several formal approaches for the design, specification and verification of interactive systems. For each approach presented, we describe how they support both modelling and verification activities. We also exemplify their use on a simple example in order to provide the reader with a better understanding of their basic concepts. It is important to note that this chapter is not selfcontained and that the interested reader should get more details looking at the references provided. The chapter is organized to provide an historical perspective at the main contributions in the area of formal methods in the field of Human-Computer Interaction. The approaches are presented in a semi-structured way identifying their contributions alongside a set of criteria. The chapter is concluded by a summary section organizing the various approaches in two summary tables reusing the criteria previously derived.

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Exploring the Effect of Pre-operational Priming Intervention on Number Entry Errors

Cited by 3 publications

References 21 publications

Assessing the Usability of Six Data Entry Mobile Interfaces for Caregivers: A Randomized Trial

Assessing the Usability of Six Data Entry Mobile Interfaces for Caregivers: A Randomized Trial

Safer Interactive Medical Device Design: Insights from the CHI+MED Project

State of the Art on Formal Methods for Interactive Systems

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