GLACEEMR | NEPHROLOGY EHR
The Nephrology EHR Built Around How Your Practice Works
GlaceEMR is ONC-certified and has run in private nephrology practices for years, with 25+ years of company history behind it. The nephrology configuration is wired in before training starts, so the chart your team opens on day one already knows the slope, the modalities, and the workflows your day actually runs on across the office, the dialysis unit, and the hospital floor.
- Nephrology templates and workflows configured before training starts
- GlaceScribe ambient notes and GlaceIQ suggestions you review and approve
- ONC-certified, with $0 implementation and data migration included
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25+
Years serving practices
35+
Specialties supported
ONC
Certified EHR
30+
AI features, all suggestions you review
WHAT WE HEAR FROM NEPHROLOGY PRACTICES
You Manage a Curve, but the Chart Shows a Table
The trajectory is buried in a table
CKD is staged on the slope, but the chart hands you a column of numbers. The transplant-referral conversation starts late because nobody graphs the eGFR until it is already in the 20s.
Dialysis billing has its own grammar
MCP capitation is stratified by age, modality, and visit count. A general billing team writes off the difference between a four-visit and a one-visit MCP because nobody flagged the gap, and the loss compounds across the census.
ESRD paperwork eats hours
CMS-2728, CMS-2746, recerts, and the constant drip of inpatient discharges. When the forms are not in the EMR, somebody is faxing paper and tracking it on a whiteboard, and the audit two years later is stressful.
Stage coding never reflects the panel
N18.9 unspecified versus N18.4 stage-4 sets both the reimbursement and the HCC contribution. On most platforms the problem list still says CKD unspecified five years into a relationship with a creatinine north of 3.0.
HOW GLACEEMR HELPS
An EHR Designed Around CKD Trajectory and Dialysis
GlaceEMR is ONC-certified and has run in private nephrology practices for years, with 25+ years of company history behind it. The nephrology configuration is wired in before training starts, so the chart your team opens on day one already knows the slope, the modalities, and the workflows your day actually runs on across the office, the dialysis unit, and the hospital floor.
eGFR slope and automatic CKD staging
The chart graphs the eGFR slope and stages CKD automatically from the trend, not from the last value. The patient whose line is bending toward access planning surfaces a year before the eGFR hits the 20s, so the transplant-referral conversation starts on time.
Dialysis encounter templates for HD and PD
In-center hemodialysis and home-dialysis encounter templates capture the monthly comprehensive visit, the interim visits, and the data the MCP claim depends on. The visit count that drives the capitation tier is a structured field, not a number your biller reconstructs at month-end.
Renal dose-adjustment at the point of order
Every prescription is checked against the current eGFR, including the value that changed last Tuesday at the dialysis unit. The gabapentin dose that just became toxic when the creatinine drifted up half a point gets flagged before it goes out, not after a hospital admission for confusion.
Vascular access registry inside the chart
Access type, placement date, maturation status, surveillance interval, intervention history, and last fistulagram live in the record, not in a spreadsheet in OneDrive. The covering colleague who picks up a patient at midnight sees what the access actually is without calling anyone.
Transplant follow-up workflow
Immunosuppression troughs, DSA panels, BK virus surveillance, and rejection workups run as structured fields with trending, not paper logs the nurse fills out by hand. The transplant patient’s whole story is in the chart, ready for the next visit and for the transplant center.
ESRD forms and rounding on mobile
CMS-2728 and CMS-2746 generate from chart data, so the work the chart already holds proves itself at audit. Native iOS and Android apps let you round from the dialysis floor, sign notes, and review labs from wherever you are, so one chart follows you across all three buildings.
See everything GlaceEMR and GlaceRCM do for nephrology · Explore GlaceEMR · Billing too? GlaceRCM for Nephrology
“Top notch EMR with integrated Billing Service. Great technical support.”
Purnima Adlakha, MD, Massachusetts
QUESTIONS WE HEAR
Nephrology EHR FAQ
Does GlaceEMR handle the MCP 90951-90970 series natively?
Yes. The dialysis encounter templates capture the monthly comprehensive visit and the interim visits, and the face-to-face visit count is a structured field rather than a number your biller reconstructs at month-end. The scrubber then bills the 90951 through 90970 series at the right tier for the patient’s age, modality, and visit count, so the difference between a four-visit and a one-visit MCP gets captured instead of written off.
How does GlaceEMR handle CKD staging and the eGFR slope?
The chart graphs the eGFR over time and stages CKD automatically from the slope, not from the most recent value. The patient whose line is bending toward access planning surfaces a year before the eGFR is in the 20s, so the transplant-referral and access-planning conversations start on time instead of late. Because the staging is structured, it also drives the diagnosis specificity: the problem list moves from CKD unspecified to the stage that matches the trajectory, which is the difference between an N18.9 claim and an N18.4 claim and the difference in the HCC contribution.
Is GlaceScribe HIPAA-compliant, and where does the AI run?
Yes, fully HIPAA-compliant. GlaceScribe runs on HIPAA-compliant AI infrastructure from Amazon, Google, Anthropic, Deepgram, ElevenLabs, and other enterprise AI providers, all under business associate agreements. The multi-vendor architecture preserves operational redundancy, so a single upstream incident does not stop your clinic or your dialysis rounds.
See GlaceEMR Run on Nephrology Workflows
A 20-minute call. We look at how your practice runs today and show you what changes.