SOLUTIONS · HEALTHCARE
Healthcare ML, solved end-to-end
Real clinical and operational problems, worked start to finish on the full patient graph — patients connect to encounters, diagnoses, medications, labs, and providers. Each solution ships a live model and a shareable dashboard, running on Langsat's secure cloud with your data isolated to your account.
Case studies
Solutions your teams can ship
Each one is a working example — the problem, the trained model, the questions you can ask it in plain English, and the dashboard. Filter by product track or ML task.
Track
ML task
Predict how many days a patient stayed
Model the expected length of stay for every hospital encounter — demographics, admission type and source, discharge disposition, diagnosis and procedure counts, labs, diabetes medications, and prior-year visit history — then compare actual stays against it to find where care ran long, short, or off-pattern.
An expected length of stay for every encounter — and the variance against it.
Predict 30-day hospital readmission
Score every hospital encounter for 30-day readmission risk with a binary-classification model — demographics, admission and discharge details, length of stay, diagnoses, medications, labs, and prior visits — to prioritize post-discharge follow-up.
Ranks every encounter by 30-day readmission risk for targeted follow-up.
On the roadmap
More healthcare solutions in progress
Appointment no-show prediction
Forecast which scheduled appointments will be missed so clinics can smart over-book and send targeted reminders.
Patient cohorting for population health
Unsupervised segmentation of patients into cohorts from diagnoses, medications, and utilization patterns.
Care-gap & next-condition prediction
Surface likely next diagnoses and care gaps from the patient–diagnosis graph, before they become admissions.
Cost-of-care forecasting
Project episode and population cost from utilization, diagnoses, and prior claims to plan budgets and risk contracts.
Want one of these worked on your data first? Tell us what you're solving →
Private by design
Langsat runs on our own secure cloud. Your data is isolated to your account, encrypted in transit and at rest, never used to train models for anyone else — and you can delete it at any time.