The scoring standard for senior living operations.
16 dimensions. One clear picture.
Individual resident health, behavior, and quality-of-life metrics
Projected health trajectory based on vitals, activity, and nutrition trends.
Measures social engagement frequency, group participation, and peer connections.
Predictive fall risk combining incident history, medication, and mobility data.
Tracks subtle cognitive changes across activity patterns and engagement quality.
Behavioral pattern analysis from staff notes, activity participation, and check-ins.
Operational health across your entire community
Aggregate wellness across all residents - your facility's vital signs.
Incident patterns, documentation gaps, and compliance exposure in one number.
Turnover prediction, overtime trends, and staffing adequacy by shift.
Cost-per-resident, resource utilization, and process bottleneck identification.
Move-in/move-out velocity, waitlist health, and census trend forecasting.
Portfolio and vendor intelligence for operators and investors
Vendor performance scoring based on delivery, cost variance, and issue resolution.
How well a facility's operations align with portfolio standards and best practices.
Cross-facility risk aggregation for operators managing multiple communities.
Financial return correlated with resident outcome improvements over time.
Transparent metrics that build trust with families
Transparent, family-readable summary of their loved one's daily wellbeing.
Tracks whether a resident is becoming more or less engaged week over week.
One button. We auto-detect the source format - no mapping, no cleanup.
Direct integrations with the platforms senior living actually uses.
Patterns that no single system can see emerge when data is unified.
Specific next steps with estimated financial impact, not just dashboards.
Connected systems include
The insights operators miss because no single system can see them.
eMenuChoice data cross-referenced with activity logs reveals isolation before staff notice it.
When residents quietly move from complex to simple activities, the pattern is measurable.
Falls and incidents mapped by location and time expose building-level risks, not just resident-level.
ADP payroll data shows which departments are 60-90 days from a staffing crisis.
Maintenance backlogs scored against what CMS inspectors actually cite most often.
We pull public federal inspection data for every facility in the country and cross-reference it with your work orders, incident reports, and maintenance logs.
The result: a prioritized maintenance queue ranked by what inspectors actually cite - not what feels urgent.
No integration required to start. Upload a single export file and get your first SilverScore in minutes.