Predict appointment no-shows and reduce costs.
Nationally, patients are “no-shows” for 30% of their scheduled appointments, representing a $150 billion financial burden on the healthcare system annually. In addition to financial strain, missing appointments can lead to poor continuity of care, increased acute care utilization, and declines in health that could have been mitigated or prevented with earlier diagnosis and treatment.
Ingest, normalize, and blend data
from dozens of health data sources.
Electronic Health Records
Unstructured Clinical Notes
Remote Monitoring Data
Lab Test Results
Social Needs Assessments
Social Determinants of Health
Operations & Services
Risk of not showing for a scheduled appt in the next six months
Risk Score Percentile
Pinpoint high-risk individuals and surface actionable risk factors.
ClosedLoop generates explainable predictions using thousands of auto-generated, clinically relevant contributing factors.