Project: Incorporate reporting workflow into Radiology

Community Google Summer of Code
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[EDIT] By Radiology, I think I understand you mean LibreHealth Radiology, I had misunderstood it earlier. I have crossed out the irrelevant questions.

Hi @judywawira, @namratanehete and @sunbiz! I am Abhinav, looking to contribute to LibreHealth for “Incorporating Workflow into Radiology”. I will be submitting my proposal shortly, due to some urgent undertakings in view of the pandemic, I wasn’t able to focus on GSoC as such, hope that’s understandable. Anyway, I had a few questions.

  1. By integrating end-to-end workflow do you mean from RIS or from the absolute beginning? Is this an EHR?
  2. By support use of MMRT templates, do you mean for EMR?
  3. From 2, is it also expected that for each different type of Radiology report, the corresponding template is used? Or is a common, generic template is expected?
  4. How important is UI? I ask this so that I know which direction to take my proposal in. Should I send UI designs in my proposal (I remember @r0bby mentioning something about attaching wireframes is a good idea).
  5. Regd. ACR assist: What is the priority level for this? Sure, Clinical Descision Support Systems are great to have, hard to implement in real life. For example, this study reports an 87% accuracy. Which I believe is not the best for clinical scenarios (I speak as a CS undergrad, not a doctor, purely my perspective, not backed by empircal data.).
  6. ACR-assist is also low on documentation, would love some light on how would we proceed with that. From my (admittedly) short exploration of it, it appears to be a collection of structured content rather than an API.
  7. Among the skillsets mentioned are Machine Learning and Deep Learning, how will we be needing them apart from the decision support framework?
  8. Is this an extension of lh-radiology (https://librehealth.io/projects/lh-radiology/)? Or is a new implementation expected?
  9. Would other projects be delivering APIs that I can use? Eg. Project: Low Powered Models for disease detection and classification for Radiology Images and Project: Automatic labelling of Radiology Images
  10. Is there a coding/evaluation challenge?

Those were a lot of questions, and I’m sorry to bug you so late! Thank you so much for your volunteering and service to the community. Stay safe!

Cheers,
Abhinav.