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. Author manuscript; available in PMC: 2017 Nov 8.
Published in final edited form as: Circ Cardiovasc Qual Outcomes. 2016 Nov 8;9(6):649–658. doi: 10.1161/CIRCOUTCOMES.116.002797

Table 1.

EHR data types, examples, number of unique variables and number of grouped variables

Data Type Examples Number of
Unique
Variables
Number of
Grouped
Variables
Diagnoses* ICD-9 codes (from outpatient visits and problem
lists treated separately).
12616 189
Medications Beta blockers, loop diuretics, etc. 3952 631
Labs Cholesterol, glucose, eGFR, etc. 2336 -
Hospitalization§ ICD-9 codes associated with admission 7071 189
Demographics and
Health Behaviors
Age, Sex, Race/Ethnicity, smoking, alcohol use 5 -
Cardiovascular
Imaging Orders#
2D echo, trans esophageal echo, stress echo, etc. 18 -
Vitals Pulse, systolic blood pressure, diastolic blood
pressure, height, weight, temperature
6 -
Framingham HF
Signs and
Symptoms
Positive and negative mentions of acute pulmonary
edema, ankle edema, dyspnea on ordinary exertion,
paroxysmal nocturnal dyspnea, etc.
28 -
*

ICD-9 codes from outpatient visits and problem lists are treated separately.

Normalized drug names, ignoring the dosing information, were used.

The labs and vitals data types contain information about the test order and the numerical result of the test.

§

Primary and secondary ICD-9 codes associated with the hospital admission were used.

#

The imaging order type, associated ICD-9 codes, and any LVEF values were used.