OHD Learn · Hospital Quality Programs

Healthcare-Associated Infections

How often patients contract specific infections during the course of their hospital stay — and how each hospital compares to what would be expected.

⭐ Feeds Overall Star Rating 📅 Updated quarterly 5 infection types

Five infections. One metric. All patients — not just Medicare.

Healthcare-associated infections (HAIs) are infections patients acquire during the course of receiving treatment for other conditions. They are not why the patient came to the hospital — they are a consequence of being there. CMS requires hospitals to report HAI data to the CDC's National Healthcare Safety Network (NHSN) as a condition of Medicare payment.

Unlike most hospital quality measures, which are derived from Medicare claims and apply only to Medicare patients, HAI measures cover all patients treated in acute care hospitals — adults, children, neonates, Medicare and non-Medicare alike. This makes them one of the broadest safety signals in the CMS dataset.

Results are expressed as a Standardized Infection Ratio (SIR) — a single number that compares the actual infections observed at a hospital to the number that would be predicted given that hospital's patient population, care settings, and other risk factors.

Star Rating Connection
HAI measures contribute to Group 2 (Safety of Care) of the Overall Hospital Star Rating, alongside the PSI-90 composite from the Complications & Deaths program. The HAI SIRs also feed the HACRP Domain 2 score, which determines whether a hospital faces a 1% Medicare payment penalty.

Each infection targets a different care setting and patient risk.

CMS tracks five specific infections — chosen because they are common enough to measure reliably, serious enough to matter clinically, and preventable enough to justify holding hospitals accountable for them.

CLABSI
Central Line-Associated Bloodstream Infection
Bloodstream infections in patients with a central venous catheter. Central lines are common in ICUs and among critically ill patients — they provide direct access to the bloodstream, and any breach in sterile technique creates infection risk.
CAUTI
Catheter-Associated Urinary Tract Infection
Urinary tract infections in patients with an indwelling urinary catheter. CAUTI is one of the most common HAIs. The primary prevention strategy — removing catheters as soon as they are no longer necessary — is simple in principle but inconsistently practiced.
SSI
Surgical Site Infection
Infections at the site of a surgical incision. CMS tracks SSI specifically for two procedures — colon surgery and abdominal hysterectomy — chosen because they are high-volume procedures with significant infection risk and well-established prevention protocols.
MRSA
MRSA Bloodstream Infection
Methicillin-resistant Staphylococcus aureus bloodstream infections, identified via laboratory culture. MRSA is particularly dangerous because it resists many standard antibiotics, making treatment more difficult and outcomes worse when infections occur.
C. diff
Clostridioides difficile Infection
C. difficile causes severe intestinal infection, typically following antibiotic use that disrupts normal gut flora. It spreads easily in healthcare settings. The measure tracks laboratory-identified events — positive stool tests — rather than clinically diagnosed cases.

The Standardized Infection Ratio — what the number means.

The SIR is calculated by dividing the number of infections a hospital actually observed by the number of infections that would be predicted for a hospital with its specific patient population, care settings, and risk profile. A score of 1.0 means actual infections matched predictions exactly. Below 1.0 is better than expected. Above 1.0 is worse.

The CDC's prediction model accounts for factors the hospital cannot control — the type of care unit where the infection occurred, hospital size and teaching status, patients' existing infection status on admission, and patient age. This risk adjustment is important: a large academic medical center treating sicker patients is expected to have more infections than a small community hospital, and the SIR reflects that.

Standardized Infection Ratio (SIR)
Observed infections ÷ predicted infections, risk-adjusted for patient population and care setting. Calculated by the CDC for each hospital at the state and national level.
SIR < 1.0
Better than predicted
Fewer infections occurred than the model predicted for this hospital's patient population. A score of 0.75 means 25% fewer infections than expected.
SIR = 1.0
Exactly as predicted
The number of observed infections matched the predicted number exactly. Performance is in line with what the model expected given this hospital's characteristics.
SIR > 1.0
Worse than predicted
More infections occurred than predicted. A score of 1.40 means 40% more infections than expected — a meaningful gap that exceeds what patient mix and setting would explain.
ℹ️
Zero infections reported. If a hospital reports zero infections for a measure and the predicted number is also very low, CMS may display the result as "not available" rather than a score of 0.0, because a zero SIR in that situation carries limited statistical meaning. Hospitals with no eligible patients for a measure are excluded entirely.

Reported to the CDC, published by CMS, updated quarterly.

HAI data flows from hospitals to the CDC's NHSN system — a separate infrastructure from most CMS quality reporting. The CDC calculates the SIRs; CMS publishes them through the Provider Data Catalog. This two-agency pipeline means the data reflects CDC's surveillance definitions and prediction models, not CMS's own calculation methodology.

Collection windows are 12 months. The data is refreshed quarterly — more frequently than most hospital quality programs, which update only once per year. This means HAI scores can shift noticeably between releases, particularly for smaller hospitals with fewer eligible patients.

The data is published in Healthcare_Associated_Infections–Hospital.csv on the Provider Data Catalog. SIR values, observed counts, predicted counts, and comparison categories are all available in the downloadable file.

Sources
  1. CMS Hospital Downloadable Database Data Dictionary, January 2026 — CMS Provider Data Catalog
  2. CDC National Healthcare Safety Network — cdc.gov/nhsn
  3. NHSN Standardized Infection Ratio Methodology — CDC SIR Guide