How to Reduce Hospital Readmissions in Skilled Nursing Facilities

Hospital readmissions from skilled nursing facilities represent one of the most significant quality and financial challenges in post-acute care. Nationally, nearly one in five SNF patients is readmitted to a hospital within 30 days of discharge. For facilities subject to CMS's Value-Based Purchasing and Reducing Avoidable Hospitalizations programs, high readmission rates translate directly into financial penalties and lower star ratings.

Some readmissions may be avoidable with timely assessment and coordinated follow-up. Conditions such as heart failure exacerbations, pneumonia, urinary tract infections, and dehydration can prompt SNF-to-hospital transfers. Identifying changes early and escalating appropriately may help address gaps in care, though not every transfer can or should be avoided.

1. Identify High-Risk Patients at Admission

Every patient admitted to a SNF following a hospital stay should be screened for readmission risk. Tools like the LACE Index or INTERACT risk stratification can help identify which patients require the most intensive monitoring in the first 30 days.

Patients with a primary or secondary diagnosis of heart failure, COPD, or chronic kidney disease are statistically at the highest risk and should be placed on daily vital sign monitoring, weight checks, and close nursing observation protocols.

2. Establish a Cardiology Partnership for On-Site Evaluations

For many SNFs, limited access to timely cardiovascular follow-up complicates decisions about changes in a resident's condition. When a patient develops worsening shortness of breath or a new irregular rhythm, staff need clear clinical escalation pathways, including emergency evaluation when appropriate.

A mobile cardiology partner changes this equation. With on-site access to a nurse practitioner who can perform a bedside evaluation, order an EKG, assess volume status, and adjust diuretics — many situations that would otherwise result in an ER transfer can be managed safely at the facility level.

Facilities that have integrated mobile cardiology services report significant reductions in heart failure-related transfers, particularly when the cardiology team is engaged within the first 7 days post-discharge — the period when readmission risk is highest.

3. Implement Structured Monitoring Protocols

Nursing protocols matter enormously. Facilities that have adopted daily weight monitoring for heart failure patients and established clear thresholds for physician notification — for example, a weight gain of more than 2 pounds in 24 hours or 5 pounds in a week — are consistently better at catching exacerbations before they require hospitalization.

Similarly, structured protocols for blood pressure management, oxygen saturation thresholds, and symptom escalation paths help nursing staff respond faster and more consistently to early warning signs.

4. Conduct 7-Day Post-Discharge Follow-Up

CMS requires SNFs to conduct a follow-up evaluation within 72 hours of hospital discharge for all patients enrolled in a qualifying program. But the evidence strongly supports extending structured monitoring through the full 30-day post-discharge window. Cardiology follow-up within 7 days of discharge is associated with a 30–40% reduction in 30-day readmissions for heart failure patients.

5. Leverage Remote Patient Monitoring Technology

Remote patient monitoring (RPM) programs that track daily weight, blood pressure, heart rate, and oxygen saturation provide an additional layer of safety for high-risk patients. When paired with a responsive clinical team, RPM enables intervention within hours of a concerning reading — rather than waiting for the next scheduled nurse visit.

6. Train Staff on Early Warning Recognition

Even the best clinical partnerships can only help if nursing staff recognize and escalate problems early. Regular in-service training on signs of fluid overload, early heart failure decompensation, arrhythmia recognition, and respiratory compromise empowers CNAs and LPNs to act as an effective early warning system.