Caremaze offers an AI‑driven platform that ingests real‑time EMR data and presents a unified dashboard for hospital discharge teams, highlighting patients at risk of missing their expected discharge date and assigning clear task ownership. The system uses predictive analytics and voice AI agents to automate outreach for post‑acute placement, insurance verification, and transport scheduling, while staff retain final approval of all actions, reducing manual workload and length of stay.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals often struggle with fragmented discharge coordination, where critical information is scattered across chats, spreadsheets, and sticky notes, leading to missed steps, delayed placements, and extended patient stays.
Solution
Caremaze provides an AI‑driven orchestration platform that consolidates EMR data into a unified dashboard for physicians, nurses, case managers, and social workers. The system analyzes clinical and administrative information to flag patients at risk of missing their expected discharge date and surfaces actionable tasks with clear ownership. Voice AI agents automate routine outreach such as skilled‑nursing‑facility calls, insurance verifications, and appointment scheduling, handling hundreds of calls in parallel. Staff review and approve all recommended actions, ensuring clinical decisions remain human‑led while reducing manual workload. By providing real‑time visibility and automated outreach, Caremaze shortens avoidable length of stay, improves bed capacity, and supports safer transitions of care.
Target Audience
Primary users are hospital discharge teams—including physicians, nurses, case managers, and social workers—at academic medical centers and community hospitals that need to streamline post‑acute placement and reduce length of stay.
Features
- Direct EMR ingestion of demographics, admission notes, social work assessments, insurance, medications, and progress notes in real time
- Predictive analytics that identify discharge barriers and flag patients at risk of missing their expected discharge date
- Unified dashboard showing every patient, blocker, and next step with clear task ownership and deadlines
- Voice AI agents that conduct parallel outreach to SNFs, verify insurance, and schedule transport, returning vetted options to care teams
- Automated workflow orchestration that coordinates tasks across clinical and administrative staff, with audit trails and staff approvals
- Integration with Epic (live) and roadmap for Cerner and Meditech; deployment requires ~10 hours of IT effort for the initial module
- HIPAA, SOC 2 Type II, and ISO 27001 compliance ensuring secure handling of patient data