CareFlow connects patient recovery, clinical decision-making, and automated follow-up into one intelligent system that monitors patients beyond discharge.
"We designed a system where every risk signal leads to support, not neglect."
Track vulnerable patients and coordinate support through transparent, AI-assisted workflows — built around clinician judgment.

Patients are discharged too early or with limited monitoring. Hospitals lose visibility, deterioration happens silently, and readmissions drive up cost and risk.
Once a patient leaves the hospital, visibility into their recovery effectively ends.
Early signs of deterioration are missed until the patient is back in the ER.
Clinicians cannot manually track every discharged patient at scale.
Most readmissions are preventable — but not detected early enough.
CareFlow monitors patients after discharge, detects early signs of deterioration, and connects patients and clinicians in real time — enabling fast, coordinated response.
View all patients, identify high-risk cases, and take immediate action.
Daily check-ins, medication tracking, and chatbot support for recovery.
Processes patient input, triggers alerts, and coordinates follow-up.
A patient's risk score combines four clinical and social factors — making intervention transparent and explainable.
Vitals, recovery trajectory, comorbidities.
Number of meds, interactions, adherence risk.
Distance, transportation, scheduled visits.
Family, caregivers, living conditions.
Risk Score = ƒ(Clinical Stability, Medication Complexity, Follow-up Access, Social Support)Seamless connection with hospital electronic health record systems.
Live tracking from wearables and connected devices.
Pilot programs and validation across partner hospitals.
CareFlow aims to redefine post-discharge care.