Background
Our Client Background
The client is a large hospital network aiming to expand its online services. With increasing patient loads and overcrowded emergency rooms (ERs), they sought a solution to streamline patient triage and direct non-critical cases to online services, while ensuring critical cases receive timely in-person care.
Challenge
The hospital faced significant challenges due to overcrowding in ERs, which led to delays in care for critical patients. The lack of an efficient patient screening process exacerbated this issue. There was a pressing need for a tool that could assess symptoms early on, triage patients effectively, and ensure those with non-critical symptoms could be handled through online services, freeing up resources for critical cases.
Our Solutions
How It Works
The Chat-Based Symptom Assessment AI analyzes patient-reported symptoms through a conversational interface, quickly determining the severity of the condition. If the symptoms are non-critical, patients are seamlessly directed to the hospital’s online services for remote consultations. In contrast, patients with critical symptoms are promptly referred for in-person consultations to receive timely care.
Results
- Reduced overcrowding in emergency rooms by efficiently triaging non-critical patients to online services.
- Improved patient care and satisfaction through faster access to appropriate services.
- Optimized resource allocation, allowing critical cases to receive timely attention in the hospital.