Artificial intelligence is ushering a new era of healthcare tools. These range from ambient listening to streamlined practice management. But, the AI-supported that I believe will truly transform occupational therapy is: 

Clinical Decision Support. 

To be honest, it often feels like we have more clinical decision barriers than we have support. Our EMRs currently give us a set number of checkboxes, which massively pigeonhole our services, and often DO NOT reflect the kinds of best practice we teach here at OT Potential. 

But, on the near horizon is dynamic point-of-service support that will help you choose the right assessments, set the right goals, and pursue the right treatment path for the patient in front of you. 

Oh, and it will also be watching for red flags. 

This is a lot to wrap our minds around. But, if we do it well, I think we will future proof our profession for changes to payment models and regulations, because it will so drastically increase our value. 

In this course, we’ll review a new journal that outlines clinical decision support across 6 domains. Then, to walk us through what’s here now and what’s coming soon, I’m so thankful to welcome Brad Willingham, PhD, a clinical research scientist at Shepherd Center who has been focused on how AI is going to support clinical decision support.

You can find more details on this course here:
https://otpotential.com/ceu-podcast-courses/ai-and-clinical-decision-support

Here's the primary research we are discussing:
Advancing clinical decision support: The role of artificial intelligence across six domains.

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