Give clinicians foresight, not just hindsight.
Clinical decision agents analyse patient data to predict readmission risk, treatment response, and resource needs — giving doctors insights that save lives.
The challenge
Healthcare generates enormous data but struggles to act on it in real time. Readmission rates stay stubbornly high, treatment plans follow population averages rather than individual risk, and clinical staff are stretched thin by manual risk assessments.
How JITM.ai helps
Upload de-identified patient records — vitals, lab results, demographics, outcomes. JITM.ai builds classification models that score individual risk for readmission, adverse events, or treatment non-response. No data science team required.
What you can predict
30-day readmission risk, treatment response likelihood, length of stay, ICU transfer probability, medication adherence risk, and resource utilisation peaks across departments.
Why it matters
Every percentage point drop in readmission saves hospitals hundreds of thousands annually while improving patient outcomes. Predictive triage lets clinical teams focus on the patients who need them most — before a crisis, not after.