Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study
Gakyoung Baek, Hyunna Lee, Dong Hyun Yang, Minseo Kang, Kun Hee Lee, Minji Choi, Yura Lee, Kye Hwa Lee, Alicia Stone · 2026
Read Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study by Gakyoung Baek, Hyunna Lee, Dong Hyun Yang, Minseo Kang, Kun Hee Lee, Minji Choi, Yura Lee, Kye Hwa Lee, Alicia Stone (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13568689.txt.
Description
Hospital staff now need working fluency in AI agents, not just chatbots, and almost no published playbook exists for teaching it. Gakyoung Baek and co-authors ran an eight-week, fifty-six-hour intensive program in 2026 at a large Korean medical center, broadcast to two affiliate hospitals. The curriculum bet heavily on the model context protocol and retrieval-augmented generation, with most class time hands-on.
Self-confidence gains were largest exactly where class time went, and non-IT staff gained more than IT specialists, several coding for the first time. Eleven of twelve teams shipped working prototypes, one already piloting in clinics. Yet job-specific skill still lagged and pacing felt rushed, the authors report, even at fifty-six hours.
Catalog record
| CREATOR | Gakyoung Baek, Hyunna Lee, Dong Hyun Yang, Minseo Kang, Kun Hee Lee, Minji Choi, Yura Lee, Kye Hwa Lee, Alicia Stone |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |