A quick 2.5 hour hack for the UCL FHIR Hackathon 2024.
The National Health Service (NHS) faces significant challenges due to prolonged waiting times, with patients enduring an average wait of 14.5 weeks for treatment. To address this issue, we propose an innovative solution leveraging FHIR data and an intelligent queuing algorithm. Our system utilises a vector database using doctor observations of patient symptoms to efficiently prioritise patients based on urgency. By seamlessly syncing patient data from hospital records using the FHIR standard, our platform empowers healthcare professionals to view and reorganise the queue according to their expert judgement. This approach not only optimises patient prioritisation but also alleviates the workload of doctors, nurses, and administrators by significantly reducing the time spent organising waiting lists. Moreover, by mitigating the emotional burden associated with managing patient queues, our system has the potential to positively impact patient outcomes and overall healthcare delivery efficiency.
- @jameshi16
- @JKoenigUCL
- @ngenethlis
No permission for anything.