Endo Inpatient Ehr Glycemic Surveillance Vs Standard Care

---
name: endo-inpatient-ehr-glycemic-surveillance-vs-standard-care
description: Recommends implementing inpatient glycemic surveillance and management programs that leverage EHR data to identify and mitigate hypoglycemia risk versus standard care. Triggered by establishing hypoglycemia reduction programs, using EHR alerts for glucose trends, or responding to CMS hypoglycemia quality measures.
---

# Inpatient Glycemic Surveillance and Management Programs Leveraging EHR Data vs Standard Care for Hypoglycemia Risk

## STEP 1 — Gather Information
Collect inpatient glucose data from the EHR, including point-of-care blood glucose (POC-BG), laboratory-drawn values, and continuous glucose monitoring (CGM) if available; analyze trends for high and low glucose patterns to generate proactive alerts.

## STEP 2 — Rule In / Rule Out
Determine if the patient has a history of severe hypoglycemia (requiring assistance), impaired awareness of hypoglycemia (IAH), or medical conditions predisposing to severe hypoglycemia (renal or hepatic dysfunction); if any are present, rule in as high risk; otherwise, rule out as standard care.

## STEP 3 — Classify or Stratify
Stratify ruled-in high-risk patients by the number of risk factors present (e.g., single factor vs multiple factors) to prioritize intensity of surveillance and intervention.

## STEP 4 — Decide
For patients stratified as high risk, activate the EHR-based glycemic surveillance program with real-time alerts and staff-driven insulin adjustments; for low-risk or ruled-out patients, continue standard glucose monitoring without enhanced EHR surveillance.

## Clinical Guardrails / Mimics / Pitfalls
Do not rely solely on CGM values without POC-BG confirmation; avoid using the program in patients with conditions that impair CGM accuracy (e.g., hypotension, vasoconstriction, edema, DKA); ensure staff are trained to interpret and act on alerts to prevent alarm fatigue; verify EHR integration includes all glucose sources before launching surveillance.

## Concrete Clinical Example
A 68‑year‑old woman with type 2 diabetes and CKD stage 3 is admitted for pneumonia; her EHR shows a prior episode of severe hypoglycemia requiring assistance. The surveillance system detects a declining glucose trend and triggers an alert; the nurse reduces her basal insulin infusion, preventing a hypoglycemic event during hospitalization.

**Source:** Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline, Endocrine Society, 2023, https://doi.org/10.1210/clinem/dgac596