This dataset provides completely synthetic test data for evaluating patient
examination-related functions in the nemsqar
package. It includes key
variables related to patient weight, assessment findings, lung and chest
examinations, and neurological assessments.
The dataset is intended to assist users in testing the expected input structure
for examination-related measures.
data(nemsqar_exam_table)
A data frame with 10,000 rows and 11 variables:
Unique identifier for the incident report (character).
Date of the incident (Date).
Patient's weight in kilograms (numeric).
Color coding based on patient length for pediatric patients (character).
Timestamp for patient assessment (datetime).
List of findings related to extremity assessment (character).
List of neurological assessment findings (character).
Location of lung assessment findings (character).
List of lung assessment findings (character).
Location of chest-exclusive assessment findings (character).
List of chest-exclusive assessment findings (character).
Users are encouraged to test these functions with this dataset, but results should not be interpreted as meaningful. Some outputs may be nonsensical, which is expected since this data is only intended to demonstrate the expected structure of input data.
data(nemsqar_exam_table)
head(nemsqar_exam_table)
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