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Record W2319029503 · doi:10.1097/nxn.0b013e31824af6c0

Usability Evaluation

2012· article· en· W2319029503 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCIN Computers Informatics Nursing · 2012
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsUniversity of TorontoSt. Lawrence College
Fundersnot available
KeywordsUsabilityChecklistWeb usabilityTask (project management)Cognitive walkthroughComputer scienceUsability labHeuristic evaluationProcess (computing)System usability scaleUser interfacePoint of carePluralistic walkthroughUsability engineeringHuman–computer interactionMedicinePsychologyNursingEngineering

Abstract

fetched live from OpenAlex

Usability evaluations are necessary to determine the feasibility of nurses' interactions with computerized clinical decision-support systems. Limitations and challenges of operations that inhibit or facilitate utilization in clinical practice can be identified. This study provided nurses with mobile information terminals, PDAs and tablet PCs, to improve point-of-care access to information. The purpose of this study was to determine usability issues associated with point-of-care technology. Eleven nurses were self-selected. Nurses were videotaped and audiotaped completing four tasks, including setting up the device and three resource search exercises. A research team member completed a usability checklist. Completion times for each task, success rate, and challenges experienced were documented. Four participants completed all tasks, with an average time of 3 minutes 22 seconds. Three participants were unable to complete any of the three tasks. Navigating within resources caused the greatest occurrence of deviations with 39 issues among all participants. Results of the usability evaluation suggest that nurses require a device that (1) is manageable to navigate and (2) utilizes a user-friendly interface, such as a one-time log-in system. Usability testing can be helpful to organizations as they document issues to be cognizant of during the implementation process, increasing the potential for successful implementation and sustained usability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.496
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it