Mile High District July Event: Generative Intelligence as a Decision-Making Aide

Mile High District July Event: Generative Intelligence as a Decision-Making Aide

In this course, participants will have the opportunity to define, prompt, and practice using
large language models and generative intelligence platforms to assist in rehabilitation decision making
and increase their available tools for professional advancement.

Speaker: Bryce Zaffarano, PT, DPT, OCS, FAAOMPT

Course Objectives
At the conclusion of the course the participant will:
1. Gain familiarity with setting ground rules and prompting large-language, generative or “artificial”
intelligence platforms
2. Identify and experience clinical questions best suited for meta-datasets
3. Identify and experience clinical questions ill suited for meta-datasets
4. Develop and practice prompting and conversation with machine learning, deep learning, generative,
convolutional neural networks and/or deep neural networks models
5. Hypothesize how you may integrate AI into your clinical reasoning

Dr. Zaffarano splits his time between academic and clinic pursuits, focusing his academic endeavours on delivering musculoskeletal management content to hybrid DPT students. Clinically he works within
complex, team-based care models in an outpatient hospital setting. Dr. Zaffarano is interested in
deepening the integration of metacognitive principles into entry-level and post-professional learning
environments that challenge biases and heuristics prevalent in clinical care. Additionally, he is
passionate about exploring the effects of acute and chronic exercise-related prescription on allostatic
load, resiliency, and existing endurance training paradigms.