Laboratory Result Interpretation provides comprehensive analysis and clinical interpretation of laboratory test results with reference ranges, demographic adjustments, trend analysis, and critical value monitoring for evidence-based diagnostic decision-making and clinical assessment optimization.
Usage
labinterpret(
data,
labValues,
patientDemo,
testDates,
clinicalHistory,
medicationVars,
reference_ranges = TRUE,
critical_values = TRUE,
trend_analysis = TRUE,
delta_checks = TRUE,
reference_source = "demographic_adjusted",
interpretation_level = "comprehensive",
confidence_interval = 0.95,
delta_threshold = 50,
trend_window = 90,
age_adjustment = TRUE,
gender_adjustment = TRUE,
ethnicity_adjustment = FALSE,
medication_interaction = TRUE,
clinical_correlation = TRUE,
quality_assessment = TRUE,
interpretation_plots = TRUE,
trend_plots = TRUE,
reference_visualization = TRUE,
delta_plots = FALSE,
correlation_matrix = FALSE,
clinical_guidelines = TRUE,
interpretation_report = TRUE
)Arguments
- data
.
- labValues
Laboratory test results and biomarker values for interpretation
- patientDemo
Patient demographic variables (age, gender, ethnicity) for reference range adjustment
- testDates
Date/time variables for temporal trend analysis (optional)
- clinicalHistory
Clinical history and comorbidity variables affecting reference ranges (optional)
- medicationVars
Current medications that may affect laboratory values (optional)
- reference_ranges
Apply demographic-adjusted reference ranges and normal value analysis
- critical_values
Monitor and flag critical laboratory values requiring immediate attention
- trend_analysis
Analyze laboratory value trends over time with statistical significance testing
- delta_checks
Perform delta checks for significant changes between consecutive results
- reference_source
Source of reference ranges for laboratory value interpretation
- interpretation_level
Level of detail for laboratory result interpretation and clinical correlation
- confidence_interval
Confidence level for reference range calculations and interpretations
- delta_threshold
Percentage change threshold for delta check significance testing
- trend_window
Time window for temporal trend analysis and pattern detection
- age_adjustment
Apply age-specific reference ranges for laboratory value interpretation
- gender_adjustment
Apply gender-specific reference ranges for laboratory value interpretation
- ethnicity_adjustment
Apply ethnicity-specific reference ranges when available
- medication_interaction
Analyze potential medication effects on laboratory values
- clinical_correlation
Correlate laboratory results with clinical presentation and history
- quality_assessment
Include quality indicators and analytical performance metrics
- interpretation_plots
Create visualization plots for laboratory result interpretation
- trend_plots
Create time-series plots showing laboratory value trends
- reference_visualization
Visualize reference ranges and patient results comparison
- delta_plots
Create plots showing significant changes between consecutive results
- correlation_matrix
Create correlation matrix of laboratory values for pattern analysis
- clinical_guidelines
Integrate clinical laboratory guidelines and best practice recommendations
- interpretation_report
Generate comprehensive clinical interpretation report with recommendations
Value
A results object containing:
results$todo | a html | ||||
results$interpretationTable | a table | ||||
results$criticalValuesTable | a table | ||||
results$trendAnalysisTable | a table | ||||
results$deltaChecksTable | a table | ||||
results$medicationEffectsTable | a table | ||||
results$correlationAnalysisTable | a table | ||||
results$qualityMetricsTable | a table | ||||
results$interpretationSummary | a html | ||||
results$clinicalRecommendations | a html | ||||
results$interpretationPlot | an image | ||||
results$trendPlot | an image | ||||
results$referencePlot | an image | ||||
results$deltaPlot | an image | ||||
results$correlationPlot | an image |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$interpretationTable$asDF
as.data.frame(results$interpretationTable)