Predict | Member & Patient Churn

Reduce member and patient churn and improve engagement.

Every year, approximately 25% of the U.S. population gains, loses, or changes their source of health insurance coverage. This “churn” not only increases member acquisition and administrative costs, it can also destabilize care continuity and contribute to worse health outcomes. High levels of churn also disincentivize long-term investments in health promotion, particularly for SDoH efforts.

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 that member will lapse coverage at next renewal

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

711249783

Female

43

96

Impact on risk

Contributing factor

Value

+25%

# of Recent Customer Service Complaints

5

+18%

Use of Recommended Preventive Care Services

100%

+15%

High Continuity of Care Index

0.900

+10%

Pct Test Results in Normal Range

100%

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.

Support

Support personalized outreach to improve retention

Address

Address member-specific concerns and promote engagement

Educate

Educate members, ensure access to health resources, strengthen continuity of care

EXPLORE MORE USE CASES

Drug Safety

Payers

Providers

Anticipate and avoid adverse drug reactions.

Transitions of Care

Payers

Providers

Improve transitions of care and reduce readmissions.

Rising Risk and Cost Bloomers

Payers

Providers

Identify rising risk individuals and improve outcomes.

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

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