How does SeniorCRE detect infection clusters and run antibiotic stewardship?
Expected outcome
Cluster and stewardship evidence
Modeled from workflow design and industry benchmarks. No customer communities measured yet — figures are targets, not validated results. See Industry Findings for methodology.
The problem
Infection control in most communities is a surveillance log on a clipboard and the hope that someone notices a pattern before it becomes an outbreak.
How the platform runs it
Every infection is logged with type, organism, location, and treatment. If second-floor UTIs double this month, the dashboard shows it today. Every antibiotic course is tracked for duration, appropriateness, and culture sensitivity. When the system detects a cluster — for example, three GI infections on Unit 2B inside seven days — it triggers an outbreak protocol recommendation, prompting isolation precautions, enhanced cleaning, and staff cohorting. Hand hygiene audits, PPE compliance, and environmental cleaning verification are all tracked.
On the shift
The infection preventionist opens the surveillance dashboard. Three UTIs documented in the past 14 days — two on the same unit — auto-cluster. The system has already pulled the antibiotic orders, the urinalysis results, and the room locations. She investigates, identifies a peri-care training gap, and the corrective action becomes a tracked task. The antibiotic stewardship report shows that one of the three was likely asymptomatic bacteriuria; she flags it for physician review and the prescribing pattern enters next month’s pharmacy committee agenda.
What the outcome looks like
Evidence focus: infection logs, cluster review, antibiotic courses, and stewardship flags are preserved for QAPI review. No infection-rate outcome is claimed here.
What goes wrong without it
On a stack without surveillance, the same cluster is identified at the monthly QAPI meeting when someone notices the line-listing has three UTIs from the same unit. The training gap goes unaddressed for another month; a fourth UTI happens; the antibiogram drifts toward resistance because asymptomatic cases are being treated. When the state surveyor pulls infection control during a complaint investigation, the timeline does not look proactive.
Where this connects in the platform
Every clinical workflow runs on the same record. These are the feature pages, head-to-head comparisons, and pillar articles that go deeper on the surfaces this workflow touches.
Feature surfaces
Compared head-to-head
Clinical and quality references
Clinical workflows on this page run against the CMS RAI/MDS manual, the Quality Measure technical specifications, and the recognized clinical practice guidelines published by AGS, IDSA, and the Wound, Ostomy and Continence Nurses Society.
- Long-Term Care Facility Resident Assessment Instrument (RAI) 3.0 User's Manual
CMS
The binding rulebook for MDS assessment timing, item coding, and look-back windows that drive both quality measures and PDPM scoring.
- MDS 3.0 Quality Measures User's Manual
CMS
Technical specifications for the long- and short-stay quality measures reported on Care Compare.
- Beers Criteria for Potentially Inappropriate Medication Use in Older Adults
American Geriatrics Society
Reference standard for psychotropic stewardship and high-risk medication review in older adults.
- CDC / NHSN Long-Term Care Facility Component
CDC
Definitions and surveillance protocols for UTI, respiratory, and multidrug-resistant organism tracking used in infection control.