UX Design Projects in Huntington StationUX Design Projects in Huntington StationPatient Safety Incident Reporting System
Patient safety reporting at Northwell Health was spread across Jira tickets, email attachments, and an Access database. Reports were often duplicated, supporting documents were difficult to locate, and staff had limited visibility into ownership and resolution status. I led the design of a centralized reporting platform that supported the full incident lifecycle across 20 hospitals.
As lead designer, I owned the UX and visual design from discovery through validation. I interviewed clinicians, patient safety leaders, and operational teams to understand how incidents were reported, reviewed, escalated, and resolved. I mapped the fragmented process, defined the needs and permissions of each user group, and designed guided reporting flows that balanced fast submission with structured data capture. I also facilitated a five-day design sprint to align clinical, product, engineering, and compliance partners before development.
The final platform gave frontline staff a faster way to submit incidents and allowed multiple contributors to work from one shared report. Automated reminders, visible status tracking, and structured data helped reviews move forward while giving leadership a clearer view of trends and recurring risks. The system reduced duplicate reporting, improved staff adoption, and created a more reliable foundation for learning from safety events and near misses. 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. 
