| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| ELECTRONIC HEALTH RECORDS |
| Competences |
| IDENTIFYING DATA | 2023_24 |
| Subject | ELECTRONIC HEALTH RECORDS | Code | 17705103 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | First | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Competences Specific |
| CE2 | CE2. Recognize and distinguish the structure of the different types of data generated in the clinical environment, their main characteristics, their quality, the basic methods for their processing, as well as the ethical, regulatory, privacy and confidentiality aspects that govern their management and analysis | |
| Type B | Code | Competences Transversal |
| Type C | Code | Competences Nuclear |
