The role of artificial intelligence in knowledge management for medical students and doctors
Bibliographic Data
| ID | 21448840 |
|---|---|
| Authors | Nathasha Luke (0000-0002-0911-216X, National University of Singapore, corresponding author), Shing Chuan Hooi (0000-0003-3249-903X, National University of Singapore) |
| Year | 2025 |
| Volume | 47 |
| Issue | 3 |
| Pages | 567-568 |
| Publication date | 2025-03-04 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Teacher (JOURNAL) |
| Journal identifiers | ISSN: 0142-159X • E-ISSN: 1466-187X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0142159x.2024.2336065 |
| PMID | 38565077 |
| OpenAlex | W4393403979 |
| Language | EN |
| Citations received | 1 |
| References cited | 3 |
The skill of knowledge management empowers practitioners to efficiently integrate and apply knowledge in the clinical context. Current medical knowledge is vast which is beyond the human capacity to retain. Hence, modern-day learning is not just knowledge acquisition, but the organization of knowledge in a retrievable manner. Advancing technology in digital learning spaces and artificial intelligence enables the development of personalized knowledge platforms. Clinicians should find their own ideal spaces for knowledge management from the early stages of their careers, and develop it into a lifelong learning platform, which will eventually lead to better patient care
Context (archaeology) · Ideal (ethics) · Knowledge management · Medical education · Medical knowledge · Organizational learning · Personal knowledge management · Political science · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Computer Science · COVID-19 diagnosis using AI · Medicine
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |