MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs

MedSynth is a newly released dataset comprising over 10,000 synthetic medical dialogue-note pairs, covering more than 2000 ICD-10 codes, aimed at improving the Dialogue-to-Note (Dial-2-Note) and Note-to-Dialogue (Note-2-Dial) tasks. This dataset significantly enhances the performance of models in generating medical notes from dialogues and vice versa, addressing the scarcity of open-access, privacy-compliant training data in medical documentation. The availability of this dataset and accompanying code provides a valuable resource for practitioners developing automation tools for clinical documentation, potentially alleviating physician burnout.