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. 2018 May 23;2(11):1172–1179. doi: 10.1182/bloodadvances.2018017541

Table 1.

Metrics to test the diagnostic accuracy of algorithms

Metric name Numerator Denominator Interpretation
SCD genotype algorithm
 Sensitivity Number of patients correctly identified as sickle cell anemia by the algorithm Number of patients with sickle cell anemia as determined by chart review/registry Ability of algorithm to identify patients with sickle cell anemia among SCD patients
 Specificity Number of patients correctly identified as not having sickle cell anemia by the algorithm Number of SCD patients who did not have sickle cell anemia as determined by the registry Ability of algorithm to identify patients without sickle cell anemia among SCD patients
 Positive predictive value Number of patients correctly identified as having sickle cell anemia by the algorithm Total number of patients identified as sickle cell anemia by the algorithm Probability of the patient to truly have sickle cell anemia if identified by the algorithm
 Negative predictive value Number of patients correctly identified as not having sickle cell anemia by the algorithm Total number of patients identified as not having sickle cell anemia by the algorithm Probability of the patient to truly not have sickle cell anemia if identified as such by the algorithm
Pain encounters algorithm*
 Sensitivity Number of acute care encounters correctly identified as pain encounters Number of acute care encounter for pain as determined by chart review of the sample Ability of algorithm to identify acute care encounters for pain
 Specificity Number of acute care encounters correctly identified as encounter for reasons other than pain crises Number of acute care encounter for reasons other than pain crises as determined by chart review of the sample Ability of algorithm to identify acute care encounters for reasons other than pain
*

The diagnostic accuracy is based on random samples selected for each year.