Predict | Hospital-Acquired Conditions & Infections

Reduce hospital-acquired conditions and meet care goals.

Approximately 2.5 million hospital-acquired conditions (HACs) occur among U.S. inpatients annually, and these conditions can lead to adverse outcomes. Hospital-acquired infections (HAIs) are a significant portion of HACs and are responsible for 70,000 deaths annually at a cost of $28–33 billion. HAIs also increase the risk of sepsis—a leading cause of both inpatient death and readmissions.

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 HAI if admitted in the next 12 months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

556932200

Female

74

95

Impact on risk

Contributing factor

Value

+19%

Diagnosis of GI Disorder (12M)

July 6, 2020

+16%

Diagnosis of Bacterial Infection (12M)

Sept 19, 2020

+13%

Increase in # of HCCs (12M)

4 to 7

+9%

Level of Social Support

Low

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.

Educate

Educate patients on how to protect themselves and be safe

Ensure

Ensure appropriate and necessary device use

Exercise

Exercise antimicrobial stewardship

EXPLORE MORE USE CASES

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Reduce fall-related injuries and improve functional support.

Heart Failure

Digital Health

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Predict heart failure risk and reduce readmissions.

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

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