Data-driven strategies for senior living operations.
SilverOcean analyzed every 5-star nursing facility in America. The data reveals clear patterns in staffing, size, ownership, and operational discipline that separate the best from the rest.
SilverOcean analyzed every Medicare-certified nursing facility in Minnesota. The state outperforms the national average, but the data reveals sharp divides between nonprofit and for-profit operators.
SilverOcean analyzed 418,972 health citations across 14,703 facilities to identify the deficiency categories that generate the most regulatory exposure and financial risk.
Fewer penalties are being issued, but the ones that land are far more expensive. SilverOcean analyzed 16,915 CMS penalties to reveal how enforcement strategy has shifted.
The U.S. nursing facility landscape is shrinking. SilverOcean analyzed 29 monthly CMS snapshots to track closures, rating shifts, and what consolidation means for the industry.
Our analysis of every CMS-rated nursing facility in the United States reveals a striking correlation between staffing levels, turnover rates, and overall quality ratings.
Falls remain the leading cause of injury in senior living. Single-system approaches miss compound risk factors. Learn how combining EHR, dining, activity, and staffing data creates predictive intelligence that identifies fall risk 2 to 4 weeks before an incident occurs.
State surveys are unpredictable, but your preparation does not have to be. See how combining CMS inspection data with work order records and clinical documentation helps facilities prioritize the areas that surveyors actually focus on.
The average facility uses 8 to 12 separate software systems that never communicate. This creates blind spots that cost the industry billions annually. Here is how cross-system intelligence eliminates those gaps without replacing a single system.
Upload your facility data and see insights that no single system can produce.