Asha

Asha: Autonomous Post-ER Referral Workflow When a patient is discharged from the Emergency Room, the burden of coordinating follow-up care falls entirely on their shoulders. Nearly 50% of patients fail to schedule required follow-ups, leading to a 19% increase in 30-day ER readmissions. Meanwhile, Primary Care Physicians (PCPs) are bogged down by overflowing inboxes of routine, administrative referral requests that eat into complex diagnostic time. Asha is an autonomous, multi-agent voice workflow designed to eliminate this friction entirely. When a patient is discharged, an Intelligent Triage Engine (powered by Claude 3 Haiku) ingests the ER's FHIR discharge summary and evaluates the complexity of the required follow-up. If it identifies a routine, administrative task (e.g., a simple orthopedic referral clearance), it routes the case to our "Fast-Track" queue. From there, Asha proactively calls the patient to secure consent, calls the doctor's office to arrange the fast-track approval, and finally calls the patient back to confirm—zero manual phone calls required from the patient, and zero 30-minute diagnostic blocks wasted by the doctor. Crucially, Asha is built for healthcare compliance: it is not a "black box." The triage engine is heavily constrained to output its clinical reasoning as structured JSON, ensuring every automated routing decision leaves a transparent, clinician-auditable trace. Asha turns healthcare's most frustrating administrative bottleneck into a seamless, autonomous experience. Asha: Autonomous Post-ER Referral Workflow When a patient is discharged from the Emergency Room, the burden of coordinating follow-up care falls entirely on their shoulders. Nearly 50% of patients fail to schedule required follow-ups, leading to a 19% increase in 30-day ER readmissions. Meanwhile, Primary Care Physicians (PCPs) are bogged down by overflowing inboxes of routine, administrative referral requests that eat into complex diagnostic time. Asha is an autonomous, multi-agent voice workflow designed to eliminate this friction entirely. When a patient is discharged, an Intelligent Triage Engine (powered by Claude 3 Haiku) ingests the ER's FHIR discharge summary and evaluates the complexity of the required follow-up. If it identifies a routine, administrative task (e.g., a simple orthopedic referral clearance), it routes the case to our "Fast-Track" queue. From there, Asha proactively calls the patient to secure consent, calls the doctor's office to arrange the fast-track approval, and finally calls the patient back to confirm—zero manual phone calls required from the patient, and zero 30-minute diagnostic blocks wasted by the doctor. Crucially, Asha is built for healthcare compliance: it is not a "black box." The triage engine is heavily constrained to output its clinical reasoning as structured JSON, ensuring every automated routing decision leaves a transparent, clinician-auditable trace. Asha turns healthcare's most frustrating administrative bottleneck into a seamless, autonomous experience.