Urgency AI is currently only available to our Early Adopter sites. If you'd like to become an Early Adopter site please let us know through the 'Give feedback' button when logged into Patchs.
What is Urgency AI? 
Urgency AI makes suggestions about the urgency of patients' requests. As soon as requests are submitted by a patient, PATCHS flags whether or not it thinks the request is urgent. These are suggestions meant to assist, not replace, your clinical judgment. You should therefore still triage and reply to all PATCHS requests ASAP.
How does Urgency AI work?
PATCHS analyses patient requests using Deep Learning, which is a kind of Machine Learning. It is not a keyword search, or clinical guideline algorithm.
PATCHS has learned how to triage each time a human user (like you) makes a triage decision on actual requests submitted by patients. This means PATCHS can deal with real-world patient health problems, spelling mistakes, and uncertainty - all of which are essential for General Practice!
PATCHS has learned from the experience of all PATCHS users across the country who triage tens of thousands of patient requests each week - i.e. the wisdom of the Crowd. And it's learning more every day - each time you make a triage decision you're teaching PATCHS how to triage similar patient requests in future.
What should I do if I see a suggestion from Urgency AI?
If you agree with the urgency suggestion made by Urgency AI then there's no need to do anything - just process the request as you would normally. If you disagree with the suggestion made by Urgency AI you should simply change the triage decision. Because PATCHS is constantly learning, this will help it correct its mistakes in future.
What are the benefits of Urgency AI?
Without Urgency AI, initial triage decisions are made by receptionists. Advantages of PATCHS doing this instead are that it is:
- Improves patient safety by speeding up triage decisions, helping urgent requests get reviewed quicker
- Helps prioritise your workload by highlighting which requests may need reviewing first
- Reduces workload by suggesting triage decisions
- Can improve the accuracy of the initial triage because it's learned how to triage from GPs
- Reduces the clinical risk placed on receptionists when triaging by providing suggestions