ERs face significant bottlenecks

Emergency Rooms (ERs) today suffer from a significant triage and patient throughput issue. The average ER sees 130 visits per day and ERs in urban hospitals see upwards of 300-400 patients a day. The average wait time is variable and time waiting to be discharged or admitted is lengthy. A typical patient who does not need admittance to the hospital spends on average 3 hours in the ER while for those needing to be admitted into the hospital (inpatient) the average time from seeing an ER doctor to being admitted into a hospital is 6 hours. 

Furthermore, it’s clear that there are a few bottlenecks: ERs have a disproportionately fewer number of beds for the patients they need to see. Additionally, staffing is not adequate given the needs of an ER for nurses and doctors, and furthermore, effective real-time triage often is inadequate. Additional  complications include specialty consultations and time  board (admit a patient into the hospital).

Simulated Intelligence is a stealth-mode startup which aims to resolve these bottlenecks using AI