About the eGFR Less 20 Referral Education Status Report

Introduction

The eGFR Referral Education Status Report for Nephrology groups compiles a list of patients that have an eGFR that is under 20, and provides demographic data, last and next appointment details, and provides the current yes/no status on CKD education (billed as G0420), documented  referral for Peritoneal Dialysis (when your template uses global entity ID# 1102582), Transplant Evaluation (when your template uses global entity ID# 81813), and Vascular (when your template uses global entity ID# 305662). The date filter for this report allows you to compile patients based on a Last Appointment Date range or a Next Appointment date range. The report also allows users to filter this report by selected appointment type location and/or selected appointment type provider.

Highlights 

  • Aids CKCC and other Nephrology practices on identifying patients that meet CKD4 and CKD5 eGFR levels and evaluate the patient to ensure the proper referrals have been performed  
  • The report details and filters provide data elements to help practices obtain provider/location specific details in a way that helps them catch up with patients when the patients are seen in clinic, when filtering by Next Appointment
  • The report can also be used by case managers for after-care follow up when filtering by Last Appointment

Adding the Report

If you want to add this new report to your OfficeEMR system, the instructions can be found here. On step 3 of those instructions, you will access the Patient report header and look for the report named eGFR Referral Education Status Report

Report Filters

Report Output Example

Report Fields

  • patient_id
  • eGFR
  • result_date
  • HX_of_G0420
  • Referral_Transplant_Evaluation (based on template global entity ID# 81813)
  • Vascular_Referral (based on template global entity ID# 305662)
  • Peritoneal_Dialysis_Referral (based on template global entity ID# 1102582)
  • patient_last
  • patient_first
  • patient_middle
  • patient_nickname
  • patient_age
  • patient_DOB
  • email
  • home_phone
  • other_phone
  • address_1
  • address_2
  • city
  • state
  • zip
  • next_appt_date_time
  • next_appt_location
  • next_appointment_type
  • next_appt_provider
  • last_appt_date_time
  • last_appt_location
  • last_appt_provider