Project Genie
SnooCODERED has incorporated AI decision support through Project Genie, providing triage and advanced decision-making capabilities for professionals and lay persons in an emergency.
We are using an AI-powered mobile application with the ability to provide context-aware clinical support that will offer immediate life-saving triage support in pre-hospital emergencies, in-hospital diagnosis, with offline support in rural areas.
Watch the Demo
Project Genie Interface
Integrating satellite Internet and AI ensures a broad and scalable impact on emergency healthcare across challenging environments.
Our Study
Clinicians Evaluated various LLM (Large Language Models), with and without context, provided by our prompt engineering techniques.
10 simulated clinical scenarios across all major clinical specialties; wide range of demographics
Evaluators: 34 clinicians
Data: 960 rankings of model responses
2 rigorously peer-reviewed studies
3 conference presentations and internationally recognized publications
Clinician Evaluation Results
By inserting local context, we are able to double the real-world performance of advanced AI systems to better provide decision support in a medical emergency.
CLINICIAN EVALUATION RESULTS
What this means is, with AI integration we can ultimately improve patient outcomes at a fraction of the cost. We aim to reduce the hourly cost of physician consultation by 70% ($10 to $3).
Charting the Future
For us, what we need are NOT bigger models, but better information.
To align with the latest technological advancements and deliver the best results, we have been testing OpenAI's latest LLM, GPT-4o. This means users can upload an image or video of the emergency to the SnooCODERED Control Centre and receive reliable, prompt advice.