The OT Schoolhouse Podcast for School-Based OT Practitioners
The OT Schoolhouse Podcast for School-Based OT Practitioners

AI and Clinical Reasoning in School-Based Occupational Therapy

09 March 2026 56:55 Jayson Davies

Listen to episode

About this episode

Artificial intelligence is quickly entering healthcare and education, and occupational therapists are asking an important question: How can we use AI responsibly without losing the clinical reasoning that defines our profession? In this episode, Jayson Davies sits down with OT educator and researcher Tara Mansour to explore practical, ethical ways school-based OT practitioners can begin using AI tools.

Tara shares how she teaches future occupational therapists to use AI as a “first draft partner” while still prioritizing evidence-based practice, professional judgment, and student-centered care. They also discuss privacy considerations, prompt strategies, treatment planning ideas, and how AI can support data collection, documentation, and intervention development.

If you're curious about how AI might fit into your school-based OT workflow—or concerned about how it could impact clinical reasoning—this episode provides a thoughtful and practical perspective. Tune in to learn how AI can support occupational therapy while keeping the human clinician firmly in the loop.


Listen now to learn the following objectives:

— Learners will describe appropriate ways AI tools can support school-based OT practice, including treatment planning, documentation drafting, and intervention idea generation.

— Learners will explain ethical and privacy considerations when using AI, including FERPA and HIPAA concerns and strategies for de-identifying student information.

— Learners will identify the "human-in-the-loop" approach to AI-assisted practice, distinguishing between AI-generated versus AI-assisted work and the role of critical clinical reasoning in evaluating AI outputs.


Thanks for tuning in!

Thanks for tuning into the OT Schoolhouse Podcast brought to you by the OT Schoolhouse Collaborative Community for school-based OTPs. In OTS Collab, we use community-powered professional development to learn together and implement strategies together.

Don't forget to subscribe to the show and check out the show notes for every episode at OTSchoolhouse.com

See you in the next episode!

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The OT Schoolhouse Podcast for School-Based OT Practitioners. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.