Readmission risk
[ TODO: predict 30-day readmission risk with model cards for clinician review. ]
SOLUTIONS · HEALTHCARE
ML trained on the full patient graph
Patients connect to encounters, diagnoses, medications, and providers. Relational ML uses all of it — deployed inside your HIPAA-compliant environment.
USE CASES
What healthcare teams build
No-show prediction
[ TODO: forecast appointment no-shows and optimize over-booking. ]
Patient cohorting
[ TODO: unsupervised clustering of patients for population health. ]
Care coordination scoring
[ TODO: prioritize follow-up outreach for highest-risk discharged patients. ]
CUSTOMER
HealthNet: 22% reduction in 30-day readmissions
[ TODO: one-paragraph summary. ]
Read the full story →HIPAA-friendly deployment, your perimeter
Langsat runs in your AWS account. No PHI ever leaves your environment.