Es Ehr Glycemic Surveillance Vs Standard Care Inpatient

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name: es-ehr-glycemic-surveillance-vs-standard-care-inpatient
description: Recommends implementing EHR-leveraged glycemic surveillance and management programs for hospitalized patients at risk for hypoglycemia to reduce hypoglycemic episodes. Triggered when clinicians ask, "Should I implement EHR-based glycemic surveillance for this inpatient at risk for hypoglycemia?" or "Is system-based glycemic management preferred over standard care?"
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# EHR-Based Glycemic Surveillance vs Standard Care for Inpatients

## STEP 1 — Gather Information
Collect patient risk factors for hypoglycemia (history of severe hypoglycemia requiring assistance, impaired awareness of hypoglycemia, renal or hepatic dysfunction, age ≥65 years) and compile EHR-derived glycemic data (point-of-care glucose, laboratory glucose, CGM if available) to identify patterns of hypo- and hyperglycemia.

## STEP 2 — Rule In / Rule Out
Determine if the patient meets criteria for high risk for hypoglycemia (yes/no). If yes, proceed to EHR-based surveillance; if no, continue standard care.

## STEP 3 — Classify or Stratify
Stratify risk by severity (e.g., prior severe hypoglycemia requiring assistance vs impaired awareness alone) and glycemic variability (frequency of glucose <70 mg/dL or >180 mg/dL) to prioritize intensity of surveillance and intervention.

## STEP 4 — Decide
For high-risk patients, activate an EHR-leveraged glycemic surveillance program that provides real-time alerts for low/high glucose trends and enables protocol-driven insulin adjustments; for low-risk patients, maintain routine point-of-care glucose monitoring without automated surveillance.

## Clinical Guardrails / Mimics / Pitfalls
Do not rely solely on CGM or EHR glucose values for insulin dosing without confirmatory point-of-care testing; avoid using the system in patients with conditions that impair CGM accuracy (severe hypotension, vasoconstriction, edema, DKA, high-dose vitamin C, hydroxyurea); ensure staff are trained to interpret alerts and act promptly; do not replace clinical judgment with automated alerts.

## Concrete Clinical Example
A 70-year-old woman with type 2 diabetes on basal-bolus insulin, admitted for cellulitis, with a prior episode of severe hypoglycemia requiring glucagon. EHR surveillance detects a trend of morning glucose <70 mg/dL over two days; the glycemic team reduces her basal insulin dose, preventing further lows.

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