Predict | Length of Stay

Reduce length of stay and improve outcomes.

Every year, there are more than 35.7 million hospital stays in the U.S., totaling over $415 billion in annual healthcare spending. The average length of stay (LOS) is 4.6 days. If it can be safely reduced, in addition to curbing excess spending, eliminating unnecessary hospital days has the potential to significantly improve patient health outcomes.

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
Care Quality

Risk of HAI if admitted in the next 6 months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

114908766

Female

78

94

Impact on risk

Contributing factor

Value

+20%

Diagnosis of Bacterial Infection (12M)

Dec 2020

+17%

Diagnosis of Diabetes (12M)

1

+15%

# of ER Visits (6M)

2

+10%

30-Day Hospital Readmit Rate

0.27

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 resource management planning

Optimize

Optimize hand-off procedures and communication

Accelerate

Accelerate the discharge process

EXPLORE MORE USE CASES

Delirium

Payers

Providers

Predict delirium risk and promote early diagnosis.

End of Life

Payers

Providers

Predict mortality risk and improve end-of-life care.

Commercial Performance

Pharma

Create targeted strategies and track results.

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

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