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Predict | End of Life

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

Patients in the last days of life can experience unrelieved physical suffering as well as significant emotional, spiritual, and social distress. Unfortunately, they are frequently not recognized as dying. More than one in three people that prefer palliative care do not receive it, and these patients incur 1.4x the costs of patients who receive end-of-life care consistent with their wishes.

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 all-cause mortality in the next 12 months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

223451789

Male

75

93

Impact on risk

Contributing factor

Value

+29%

Increase in Charlson Comorbidity Index

8 to 12

+19%

Diagnosis of Chronic Skin Ulcers (12M)

3

+14%

Admission for Serious Infection (3M)

1

+10%

Levels of Caregiver 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.

Provide

Provide palliative care to assuage symptoms and improve quality of life

Discuss

Discuss serious illness care goals

Ensure

Ensure social and emotional support for patients in their final days

EXPLORE MORE USE CASES

Unplanned Hospital Admissions

Payers

Providers

Reduce unplanned hospital admissions and cut costs.

Avoidable Emergency Department Utilization

Payers

Providers

Reduce avoidable ED utilization and promote care continuity.

Prior Authorizations

Payers

Providers

Streamline prior authorization and expedite access to care.

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

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