11 citations · 26 across the 6 of their papers we have counts for
5 papers · 1 filter
Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation
Aleksandar Savkov, Francesco Moramarco, Alex Papadopoulos Korfiatis +3
Evaluating automatically generated text is generally hard due to the inherently subjective nature of many aspects of the output quality. This difficulty is compounded in automatic…
Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation
Francesco Moramarco, Alex Papadopoulos Korfiatis, Mark Perera +5
In recent years, machine learning models have rapidly become better at generating clinical consultation notes; yet, there is little work on how to properly evaluate the generated c…
PriMock57: A Dataset Of Primary Care Mock Consultations
Alex Papadopoulos Korfiatis, Francesco Moramarco, Radmila Sarac +1
Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably produce automatic transcripts of clinician-patient conversations. However, access to clinica…
Towards more patient friendly clinical notes through language models and ontologies
Francesco Moramarco, Damir Juric, Aleksandar Savkov +8
Clinical notes are an efficient way to record patient information but are notoriously hard to decipher for non-experts. Automatically simplifying medical text can empower patients…
A preliminary study on evaluating Consultation Notes with Post-Editing
Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov +1
Automatic summarisation has the potential to aid physicians in streamlining clerical tasks such as note taking. But it is notoriously difficult to evaluate these systems and demons…