Predict | Unplanned Hospital Admissions

Reduce unplanned hospital admissions and cut costs.

Unplanned Hospital Admissions (UHAs) are acute clinical events that impact approximately 8.5 million Medicare beneficiaries each year. These events are frequently life-altering. For older adults who are hospitalized, 30% experience a significant enough decline in their ability to perform daily activities that it reduces their ability to maintain independence. And for many, that decline is permanent.

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
Social Needs Assessments
Social Determinants of Health
Operations & Services

Risk of unplanned hospital admission in the next six months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

746214357

Female

75

96

Impact on risk

Contributing factor

Value

+25%

Increase in # of HCCs (12M)

4 to 7

+16%

Increase in Delirium Risk Index

3 to 5

+11%

# of Days Since Last PCP Visit

375

+5%

Pct Flu Vaccination Measure

0.35

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.

Enhance

Enhance enrollment in chronic care management

Provide

Provide additional support for at-risk patients following planned procedures

Intensify

Intensify care transition planning to potentially avoid readmissions

EXPLORE MORE USE CASES

Length of Stay

Providers

Reduce length of stay and improve outcomes.

Drug Safety

Payers

Providers

Anticipate and avoid adverse drug reactions.

Operational Efficiency

Payers

Providers

Predict utilization and optimize scheduling.

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

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