Table 2.
Comparison of outcomes for structured and structured-plus-unstructured surveillance against the clinician review (gold standard) for identifying Hypertension, Abnormal liver/renal function, Stroke history, Bleeding history or predisposition, Labile INR, Elderly, Drug/alcohol usage (HAS-BLED) and congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke or transient ischemic attack, vascular disease, age 65 to 74 years, sex category (CHA2DS2-VASc) components.
| Method | HAS-BLED | CHA2DS2-VASc | ||||||||||||||||||||
|
|
Structured surveillance | Structured and NLPa surveillance | Difference | T test | P value | Structured surveillance | Structured and NLP surveillance | Difference | Test statistic | P value | ||||||||||||
| Sensitivity | ||||||||||||||||||||||
|
|
McNemar method | 0.382 | 0.806 | 0.424 | 72 | <.001 | —b | — | — | — | — | |||||||||||
|
|
Exact binomial method | — | — | — | — |
|
0.942 | 0.983 | 0.0413 | — | .002 | |||||||||||
| Specificity | ||||||||||||||||||||||
|
|
McNemar method | 0.947 | 0.777 | –0.17 | 16 | <.001 |
|
|
|
|
|
|||||||||||
|
|
Exact binomial method | — | — | — | — | — | 0.955 | 0.909 | –0.0455 |
|
>.99c | |||||||||||
| PPVd | ||||||||||||||||||||||
|
|
Generalized score method | 0.929 | 0.867 | .061 | 4.487 | .03 | 0.996 | 0.992 | 0.004 | 0.915 | .34 | |||||||||||
| NPVe | ||||||||||||||||||||||
|
|
Generalized score method | 0.459 | 0.689 | 0.23 | 47.757 | <.001 | 0.6 | 0.833 | 0.233 | 11.662 | <.001 | |||||||||||
aNLP: natural language processing.
bThere is a small number of discordant cells, such that for the gold standard’s CHA2DS2-VASc <2, there is 1 case that was identified as CHA2DS2-VASc ≥2 in the structured and NLP method but not in the structured method. The exact binomial P value is calculated as 
cThere is a small number of discordant cells, such that for the gold standard’s CHA2DS2-VASc <2, there is 1 case that was identified as CHA2DS2-VASc >2 in the Structured and NLP method but not in the structured method. The exact binomial P value is calculated as 
dPPV: positive predictive value.
eNPV: negative predictive value.