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. 2021 Feb 26;2(4):708–720. doi: 10.34067/KID.0007812020

Figure 2.

Figure 2.

The figure displays a flowchart of QI program and research substudy patient participants. aIn addition to the displayed patient QI and research substudy participants, there were 32 medical provider/personnel QI participants and 25 medical provider/personnel research substudy participants. bThe EHR population-based kidney disease registry (i.e., continually updated electronic list, called the “Kidney Transitions Registry”) incorporates an automated risk prediction tool (KFRE) alongside the Geisinger EHR platform. Outpatient data from the EHR are processed nightly to identify qualifying patients. The KFRE is a well-validated algorithm designed to help providers identify individuals with a high predicted risk of developing kidney failure within 2 years on the basis of their age, sex, eGFR, urine albumin-creatinine ratio, calcium, phosphate, albumin, and bicarbonate) (26,27). cAssessment ongoing at the end of the program indicates the navigator was awaiting nephrologist approval for program enrollment. In many cases, nephrologists were waiting for an upcoming appointment to discuss the program with the patient before agreeing to program enrollment. AV, arteriovenous; KFRE, Kidney Failure Risk Equation.