Name
Putting AI To Work For Your Practice: A “Vibe Coding” Workshop
Description

What if you could build a custom integrated care-specific digital tool in a single session, with no coding experience required? AI-powered “vibe coding” tools are putting that capability directly into clinicians’ and educators’ hands. In this workshop, attendees will learn about the landscape of available tools, see working examples built for integrated care settings, and participate in a live build from idea to usable product. Attendees will come out of the session with the skills and a starting point to build something tailored for their own setting.

Speakers
Allie Mann, PhD
Joseph Tan, PhD
Content Level
All Audience
Tags
Innovations, Primary Care Behavioral Health Model, Training/Supervision
Session Type
Concurrent
Objective 1
Identify at least one clinical or educational problem in their own practice that could be addressed through a custom digital tool.
Objective 2
Engage in the process of prompting a vibe coding platform to produce a functional web-based tool or patient-facing material relevant for the integrated care clinical or educational setting.
Objective 3
Describe practical and ethical considerations for using AI-powered tools in integrated care clinical and educational settings.
Content Reference 1

Lyon, A. R., Aung, T., Bruzios, K. E., & Munson, S. (2024). Human-centered design to enhance implementation and impact in health. Annual Review of Public Health, 46.

Content Reference 2

Duffy A, Boroumandzad N, Sherman AL, Christie G, Riadi I, Moreno S. Examining Challenges to Co-Design Digital Health Interventions With End Users: Systematic Review. J Med Internet Res. 2025 Mar 14;27:e50178. doi: 10.2196/50178. PMID: 40085834; PMCID: PMC11953610.

Content Reference 3

Qin, H., & Tong, Y. (2025). Opportunities and challenges for large language models in primary health care. Journal of Primary Care & Community Health, 16. https://doi.org/10.1177/21501319241312571 | PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC11960148/

Content Reference 4

Mannino et al. (2023). Navigating the complexities of mobile medical app development from idea to launch: A guide for clinicians and biomedical researchers. BMC Medicine, 21, Article 109. https://doi.org/10.1186/s12916-023-02833-7 | PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC10035117/

Content Reference 5

Liu et al. (2022). A "no-code" app design platform for mobile health research: Development and usability study. JMIR Formative Research, 6(8), e38737. https://doi.org/10.2196/38737 | PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC9437789/