Primary Care Physician Usability and Cognitive Load Data for a Decision Support System

A descriptive cross-sectional usability study evaluates a decision support system for primary care physicians managing patients with multimorbidity and polypharmacy. Rodrigo Medina Garcia authored this dataset, which was last updated on October 14, 2025. The principal variable is usability efficiency, measured by task completion time, NASA-TLX questionnaire scores, eye-tracking metrics, and click counts across nine simulated clinical tasks.

Use Cases

• Benchmarking the efficiency of clinical decision support interfaces based on task completion time metrics.
• Analyzing the cognitive load of medical professionals using the NASA-TLX questionnaire scores.
• Evaluating user interaction patterns based on eye-tracking metrics and click counts.
• Training or validating models for usability assessment in primary care settings based on simulated clinical tasks.

Strengths

• Data includes multiple objective and subjective usability metrics: task completion time, NASA-TLX scores, eye-tracking, and click counts.
• Study design involved nine specific tasks based on a simulated clinical case.
• Dataset was last updated on October 14, 2025, indicating recent activity.

Limitations

• Row count, column definitions, and file formats are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The study population was limited to primary care physicians without prior experience with the specific tool, which may affect generalizability.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Descriptive cross-sectional usability study.

Time Range

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Freshness

Last updated 2025-10-14 21:39:46

Geography

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