Predict | Appointment No-Shows

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.

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 not showing for a scheduled appt in the next six months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

311098786

Female

43

98

Impact on risk

Contributing factor

Value

+25%

# of Missed / Rescheduled Appts (12M)

4

+17%

Reported Barriers to Care

Transportation

+13%

# of Unique Prescribers (12M)

4

+8%

Low Medication Adherence

40%

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.

Target

Target outreach and send reminders to likely no-shows

Ensure

Ensure access to reliable, timely transportation

Educate

Educate patients about the impact appointments have on achieving health goals

EXPLORE MORE USE CASES

Maternal Health and Obstetric Outcomes

Payers

Providers

Enhance maternal care and avoid adverse outcomes.

Operational Efficiency

Payers

Providers

Predict utilization and optimize scheduling.

Admission to a Skilled Nursing Facility

Payers

Providers

Predict SNF admission risk and reduce rehospitalization.

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

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