@Chris-Johnston Thank you for sharing this! I hope that this might inspire and encourage many to share innovative and novel ways to impact the future of health care.

@Chris-Johnston I glad you enjoyed it. I did as well and there are some really good Articles on the World Health Day website thanks for letting us know about this event.

@Chris-Johnston yes, as I mentioned in the previous comment really great articles on WHD website. It’s great to share some more people get to read this great content and learn.

@Sandra-Holdsworth

Thanks for sharing this Sandra! I'm in a National Institute of Ageing project that's developing an AI Literacy Guide for the over 50 demographic - so this makes a good comparison. Hopefully NIA will have a shareable version soon 🙂

@Joan-Tu
Thank you Joan.

For everyone:
this standard is meant to establish "rules" for comparing Artificial Intelligence systems used in Clinical Decision Support (CDS). These CDS systems are getting slowly incorporated into your doctors' EMRs (electronic medical records).

As a standard, this is what a CDS system will be compared to. People like Accreditation Canada will use such standards as a way of reporting on organizations (hospitals, clinics) about their quality of care.

Some interesting components of the standard:

the UAII: acts as a "license plate" for the AI module (sect. 6.3) dataset provenance: there needs to be a trace of what data was used for training the AI module (sect. 7.1.1) AI Decision Summary for patient visibility (sect. 5)

Section 5.4.3 - who was asking about advertising in clinical systems?

Based on this discussion, I think we need to redefine what data for secondary use looks like.

What other things - not covered in the above matrix - would people like to see their PHI (personal health information) used for?

What secondary use is off-limits?