Charting Tomorrow: A Practical Review of Artificial Intelligence in Medical Documentation
Ferris Zeitouni, Nada E. Botros, Alisha S. Khosla, Marion McKinney, Jasmine N. Craig, Luis Alamo-Irizarry, Venkat K. Rao · 2026
Read Charting Tomorrow: A Practical Review of Artificial Intelligence in Medical Documentation by Ferris Zeitouni, Nada E. Botros, Alisha S. Khosla, Marion McKinney, Jasmine N. Craig, Luis Alamo-Irizarry, Venkat K. Rao (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/PMC13275152.txt.
Description
Ferris Zeitouni and colleagues present a 2026 practical review of AI tools that draft clinical notes from patient conversations. Note-writing burden drives doctor burnout, and AI scribe services have spread fast in response. The article is a primer for doctors weighing these platforms for their own practice.
Across products, core features include live transcripts, note drafting, many languages, custom templates, and health privacy safeguards. Deeply linked systems can summarize old notes and draft referral letters but demand long setup. Simpler tools start fast with weaker record linking. The authors flag real risks alongside the time savings: invented content, privacy exposure, and open legal risk when an AI note is wrong.
Catalog record
| CREATOR | Ferris Zeitouni, Nada E. Botros, Alisha S. Khosla, Marion McKinney, Jasmine N. Craig, Luis Alamo-Irizarry, Venkat K. Rao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28896 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |