Predict | Drug Safety

Anticipate and avoid adverse drug reactions.

Every year, Adverse drug reactions (ADRs) – unintended, harmful events attributed to intended medicine use – result in more than 750,000 inpatient injuries or deaths, affect nearly two million hospital stays, and directly result in over one million ED visits and 125,000 hospitalizations. ADRs are estimated to cause at least 10% of all admissions in older adults.

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
Health Risk Assessments

Risk of serious fall-related injury in the next 12 months

HIGH RISK

Patient ID

Gender

Age

Risk Score Percentile

989621109

Male

76

98

Impact on risk

Contributing factor

Value

+24%

Change in Anticholinergic Cognitive Burden Scale

1 to 5

+21%

Increase in # of Unique Prescribers

5 to 7

+19%

Frailty Percentile

0.70

+14%

Level of Reported Medication Side Effects

High

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.

Enhance

Enhance medication reconciliation and de-prescribing efforts

Ensure

Ensure safe use proactively in regular appointments

Educate

Educate patients about drug safety and regularly assess patient condition

EXPLORE MORE USE CASES

Metabolic Syndrome

Digital Health

Payers

Providers

Identify metabolic syndrome and promote early detection.

Appointment No-Shows

Payers

Providers

Predict appointment no-shows and reduce costs.

Acute Ischemic Stroke 

Payers

Providers

Predict stroke risk and address modifiable factors.

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

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