Artificial Intelligence and Enhanced Recovery After Surgery as Patient Safety Strategies for Perioperative Care in Resource-Limited Settings
Ibrahim Abdullahi Mohamed, Abdirahman Mohamed Hassan · 2026
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Description
Ibrahim Abdullahi Mohamed and Abdirahman Mohamed Hassan argue in a 2026 commentary that two tools work better together in poor surgical settings. One tool is a standard recovery pathway that orders care before, during, and after surgery. The other is artificial intelligence that can flag risk and support choices.
Hospitals with few staff, weak data systems, and scarce equipment cannot simply import digital tools. The authors urge leaders to secure basic safety standards first, then adapt the recovery pathway to local means. Only then should teams add AI tools that are checked locally and kept under human control. Used in that order, the pairing could cut harm and speed recovery where resources are thin.
Catalog record
| CREATOR | Ibrahim Abdullahi Mohamed, Abdirahman Mohamed Hassan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 20 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |