AI Chatbot for Post-Discharge Patient

AI Chatbot for Post-Discharge Patient Monitoring

Post-discharge monitoring at Northwell Health relied on scheduled phone calls, which meant changes in a patient’s condition could go unnoticed between check-ins. I led the design of a Conversa-powered chatbot and clinician dashboard that collected daily recovery information, identified concerning symptoms, and helped care teams focus on patients who needed immediate attention.

As lead designer, I owned the UX and visual design from discovery through delivery. I worked with clinicians and care managers to map recovery workflows, escalation paths, and existing outreach scripts. I designed the chatbot conversations to capture structured symptom data and patient sentiment without creating survey fatigue. I also helped define alert thresholds and designed a clinician dashboard that summarized patient status, recent changes, and escalation history, allowing care managers to act without reading every conversation transcript.

The system captured more than 3,200 patient recovery data points each week and routed over 450 critical alerts per month. It reduced manual nurse follow-up calls by 65 percent and contributed to a 28 percent reduction in 30-day readmissions. The project showed how conversational AI can support clinical teams when patient signals are captured early, presented clearly, and connected to a reliable escalation process.