Towards Reducing Diagnostic Errors with Interpretable Risk Prediction (2024.naacl-long)
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Denis McInerney, William Dickinson, Lucy Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron Wallace
| Challenge: | Diagnostic errors occur because clinicians cannot easily access relevant information in EHRs. |
| Approach: | They propose a method to use LLMs to identify pieces of evidence that indicate increased or decreased risk of specific diagnoses in patient EHRs. |
| Outcome: | The proposed method reduces diagnostic errors by identifying evidence in patient EHRs . it uses a Neural Additive Model to make predictions backed by evidence at time-points where clinicians are uncertain . |
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