Havinga, Han (2023) Clinical reasoning in ambulance nurses: The influence of experience on confirmation bias. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
Clinical reasoning is an important skill in the work of ambulance nurses. Improving clinical reasoning can lead to better healthcare outcomes. Clinical decision support systems can aid ambulance nurses in their clinical reasoning. To develop better clinical decision support systems it is necessary to understand how clinical reasoning works and how it is impaired. One of the detriments to clinical reasoning is confirmation bias. This thesis aims to determine whether confirmation bias occurs more often in novice ambulance nurses than in experienced ambulance nurses. To this end a simulated patient encounter was constructed of two medical cases. The analysis of these patient encounters shows that novice ambulance nurses were not more likely to suffer from confirmation bias than experienced ambulance nurses. These findings indicate that confirmation bias is not a major detriment to the clinical reasoning of novice ambulance nurses, and that it would be more efficient to develop clinical decision support systems that are focused on other obstacles in clinical reasoning.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Cnossen, F. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 25 Sep 2023 10:33 |
| Last Modified: | 25 Sep 2023 10:33 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/31459 |
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