Predict | Admission to a Skilled Nursing Facility

Predict SNF admission risk and reduce rehospitalization.

More than five million patients are transferred from hospitals to skilled nursing facilities (SNFs) annually, but unfortunately, SNF admissions frequently presage avoidable rehospitalizations and adverse events. Close to one in five patients are rehospitalized within 30 days of transfer to a SNF, representing billions in healthcare expenditures annually.

BUILT FOR HEALTHCARE

Ingest, normalize, and blend data
from dozens of health data sources.

Electronic Health Records
Unstructured Clinical Notes
e-Prescribing Data
Vital Signs
Remote Monitoring Data
Medical Claims
Rx Claims
ADT Records
Lab Test Results
Care Quality
Social Determinants of Health
Operations & Services

Risk of admission to SNF in the next 12 months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

714490223

Female

77

92

Impact on risk

Contributing factor

Value

+28%

Frailty Percentile

82%

+18%

# of Days Since Last PCP Visit

384

+12%

# of Units of Durable Medical Equipment (3M)

4

+8%

Pct with Severe Housing Cost Burden

25%

AI INFORMS ACTION

Pinpoint high-risk individuals and surface actionable risk factors.

ClosedLoop generates explainable predictions using thousands of auto-generated, clinically relevant contributing factors.

Improve

Improve evaluation of care needs post-discharge and match appropriate environment

Assess

Assess and reduce risk for falls, pneumonia, UTIs, and chronic conditions

Target

Target specialist consultation for follow-ups in select cases

EXPLORE MORE USE CASES

Operational Efficiency

Payers

Providers

Predict utilization and optimize scheduling.

Total Cost and Utilization

Payers

Providers

Predict high utilization/costs and enhance chronic care.

Adverse Glycemic Events & Continuous Glucose Monitoring

Providers

Improve glycemic control and avoid adverse outcomes.

Make AI/ML a core element of your care strategy.

Get in touch today to see the ClosedLoop platform in action.