Modernize Your Spheris Medical Transcription Workflow

Traditional medical transcription often relies on a linear process of dictation followed by third-party typing, which can lead to a disconnect between the patient encounter and the final record. High-quality clinical documentation requires a clear capture of the Subjective history, Objective findings, Assessment, and Plan (SOAP), ensuring that the nuance of the patient's presentation is preserved without the lag of manual transcription turnaround times.

Aduvera replaces this manual cycle by recording the encounter and using AI to draft the note in real-time. Rather than reviewing a typed transcript of a dictation, clinicians review a structured note backed by the original encounter context. This allows the provider to verify specific segments of the conversation before finalizing the note, ensuring the output is EHR-ready and clinically accurate without starting from a blank page.